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We thank the reviewers for their constructive feedback.","date_updated":"2026-02-16T08:50:50Z","related_material":{"link":[{"relation":"software","url":"https://github.com/jakobtroidl/niiv-miccai"}]},"publication":"1st International Workshop on Efficient Medical Artificial Intelligence","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1101/2024.09.07.611785"}],"oa_version":"Preprint","publication_identifier":{"issn":["0302-9743"],"eissn":["1611-3349"],"isbn":["9783032139603"]},"author":[{"last_name":"Troidl","full_name":"Troidl, Jakob","first_name":"Jakob"},{"last_name":"Liang","full_name":"Liang, Yiqing","first_name":"Yiqing"},{"full_name":"Beyer, Johanna","first_name":"Johanna","last_name":"Beyer"},{"last_name":"Tavakoli","orcid":"0000-0002-7667-6854","id":"3A0A06F4-F248-11E8-B48F-1D18A9856A87","first_name":"Mojtaba","full_name":"Tavakoli, Mojtaba"},{"first_name":"Johann G","full_name":"Danzl, Johann G","orcid":"0000-0001-8559-3973","last_name":"Danzl","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Hadwiger","full_name":"Hadwiger, Markus","first_name":"Markus"},{"full_name":"Pfister, Hanspeter","first_name":"Hanspeter","last_name":"Pfister"},{"full_name":"Tompkin, James","first_name":"James","last_name":"Tompkin"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","volume":16318,"language":[{"iso":"eng"}],"doi":"10.1007/978-3-032-13961-0_26","OA_place":"repository","status":"public","date_created":"2026-02-01T23:01:44Z","month":"01","citation":{"ama":"Troidl J, Liang Y, Beyer J, et al. niiv: Interactive Self-supervised Neural Implicit Isotropic Volume Reconstruction. In: <i>1st International Workshop on Efficient Medical Artificial Intelligence</i>. Vol 16318. Springer Nature; 2026:257-267. doi:<a href=\"https://doi.org/10.1007/978-3-032-13961-0_26\">10.1007/978-3-032-13961-0_26</a>","ieee":"J. Troidl <i>et al.</i>, “niiv: Interactive Self-supervised Neural Implicit Isotropic Volume Reconstruction,” in <i>1st International Workshop on Efficient Medical Artificial Intelligence</i>, Daejeon, South Korea, 2026, vol. 16318, pp. 257–267.","mla":"Troidl, Jakob, et al. “Niiv: Interactive Self-Supervised Neural Implicit Isotropic Volume Reconstruction.” <i>1st International Workshop on Efficient Medical Artificial Intelligence</i>, vol. 16318, Springer Nature, 2026, pp. 257–67, doi:<a href=\"https://doi.org/10.1007/978-3-032-13961-0_26\">10.1007/978-3-032-13961-0_26</a>.","apa":"Troidl, J., Liang, Y., Beyer, J., Tavakoli, M., Danzl, J. G., Hadwiger, M., … Tompkin, J. (2026). niiv: Interactive Self-supervised Neural Implicit Isotropic Volume Reconstruction. In <i>1st International Workshop on Efficient Medical Artificial Intelligence</i> (Vol. 16318, pp. 257–267). Daejeon, South Korea: Springer Nature. <a href=\"https://doi.org/10.1007/978-3-032-13961-0_26\">https://doi.org/10.1007/978-3-032-13961-0_26</a>","short":"J. Troidl, Y. Liang, J. Beyer, M. Tavakoli, J.G. Danzl, M. Hadwiger, H. Pfister, J. Tompkin, in:, 1st International Workshop on Efficient Medical Artificial Intelligence, Springer Nature, 2026, pp. 257–267.","ista":"Troidl J, Liang Y, Beyer J, Tavakoli M, Danzl JG, Hadwiger M, Pfister H, Tompkin J. 2026. niiv: Interactive Self-supervised Neural Implicit Isotropic Volume Reconstruction. 1st International Workshop on Efficient Medical Artificial Intelligence. EMA4MICCAI: Efficient Medical Artificial Intelligence, LNCS, vol. 16318, 257–267.","chicago":"Troidl, Jakob, Yiqing Liang, Johanna Beyer, Mojtaba Tavakoli, Johann G Danzl, Markus Hadwiger, Hanspeter Pfister, and James Tompkin. “Niiv: Interactive Self-Supervised Neural Implicit Isotropic Volume Reconstruction.” In <i>1st International Workshop on Efficient Medical Artificial Intelligence</i>, 16318:257–67. Springer Nature, 2026. <a href=\"https://doi.org/10.1007/978-3-032-13961-0_26\">https://doi.org/10.1007/978-3-032-13961-0_26</a>."},"oa":1,"conference":{"location":"Daejeon, South Korea","end_date":"2025-09-23","start_date":"2025-09-23","name":"EMA4MICCAI: Efficient Medical Artificial Intelligence"},"OA_type":"green","quality_controlled":"1","_id":"21135","article_processing_charge":"No","year":"2026","scopus_import":"1","abstract":[{"lang":"eng","text":"Three-dimensional (3D) microscopy data is often anisotropic with significantly lower resolution (up to 8x) along the z axis than along the xy axes. Computationally generating plausible isotropic resolution from anisotropic imaging data would benefit the visual analysis of large-scale volumes. This paper proposes niiv, a self-supervised method for isotropic reconstruction of 3D microscopy data that can quickly produce images at arbitrary output resolutions. The representation embeds a learned latent code within a neural field that describes the implicit higher-resolution isotropic image region. We use an attention-guided latent interpolation approach, which allows flexible information exchange over a local latent neighborhood. Under isotropic volume assumptions, we self-supervise this representation on low-/high-resolution lateral image pairs to reconstruct an isotropic volume from low-resolution axial images. We evaluate our method on simulated and real anisotropic electron (EM) and light microscopy (LM) data. Compared to diffusion-based baselines, niiv shows improved reconstruction quality (+1 dB PSNR) and is over three orders of magnitude faster (1,000x) to infer. Specifically, niiv reconstructs a 128^3 voxel volume in 2/10th of a second, renderable at varying (continuous) high resolutions for display. Our code is available at https://github.com/jakobtroidl/niiv-miccai."}],"publisher":"Springer Nature","title":"niiv: Interactive Self-supervised Neural Implicit Isotropic Volume Reconstruction"},{"file":[{"file_name":"Readme_Data_Tavakoli_et_al_2025.rtf","access_level":"open_access","file_size":1922,"file_id":"19275","content_type":"text/rtf","checksum":"d2c3efcd354f967290f91ff34dfb3cc1","creator":"jdanzl","success":1,"date_created":"2025-02-28T16:50:39Z","date_updated":"2025-02-28T16:50:39Z","relation":"main_file"},{"file_name":"Fig1b 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Kreuzinger, (2025).","chicago":"Danzl, Johann G, Julia Lyudchik, and Caroline Kreuzinger. “Light-Microscopy Based Connectomic Reconstruction of Mammalian Brain Tissue.” Institute of Science and Technology Austria, 2025. <a href=\"https://doi.org/10.15479/AT:ISTA:18697\">https://doi.org/10.15479/AT:ISTA:18697</a>.","ista":"Danzl JG, Lyudchik J, Kreuzinger C. 2025. Light-microscopy based connectomic reconstruction of mammalian brain tissue, Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/AT:ISTA:18697\">10.15479/AT:ISTA:18697</a>."},"month":"03","OA_place":"repository","doi":"10.15479/AT:ISTA:18697","ddc":["570"],"_id":"18697","article_processing_charge":"No","oa":1,"OA_type":"gold","license":"https://creativecommons.org/licenses/by-nc-sa/4.0/","year":"2025","has_accepted_license":"1","publisher":"Institute of Science and Technology Austria","title":"Light-microscopy based connectomic reconstruction of mammalian brain tissue","tmp":{"short":"CC BY-NC-SA (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode","image":"/images/cc_by_nc_sa.png","name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)"},"abstract":[{"text":"The information-processing capability of the brain’s cellular network depends on the physical wiring pattern between neurons and their molecular and functional characteristics. 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G., &#38; Kreuzinger, C. (2025). Research Data for the publication “Super-resolution expansion microscopy in plant roots.” Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:18837\">https://doi.org/10.15479/AT:ISTA:18837</a>","mla":"Danzl, Johann G., and Caroline Kreuzinger. <i>Research Data for the Publication “Super-Resolution Expansion Microscopy in Plant Roots.”</i> Institute of Science and Technology Austria, 2025, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:18837\">10.15479/AT:ISTA:18837</a>.","ieee":"J. G. Danzl and C. Kreuzinger, “Research Data for the publication ‘Super-resolution expansion microscopy in plant roots.’” Institute of Science and Technology Austria, 2025.","ama":"Danzl JG, Kreuzinger C. Research Data for the publication “Super-resolution expansion microscopy in plant roots.” 2025. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:18837\">10.15479/AT:ISTA:18837</a>","ista":"Danzl JG, Kreuzinger C. 2025. Research Data for the publication ‘Super-resolution expansion microscopy in plant roots’, Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/AT:ISTA:18837\">10.15479/AT:ISTA:18837</a>.","chicago":"Danzl, Johann G, and Caroline Kreuzinger. “Research Data for the Publication ‘Super-Resolution Expansion Microscopy in Plant Roots.’” Institute of Science and Technology Austria, 2025. <a href=\"https://doi.org/10.15479/AT:ISTA:18837\">https://doi.org/10.15479/AT:ISTA:18837</a>.","short":"J.G. Danzl, C. Kreuzinger, (2025)."},"doi":"10.15479/AT:ISTA:18837","publisher":"Institute of Science and Technology Austria","author":[{"id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","last_name":"Danzl","orcid":"0000-0001-8559-3973","full_name":"Danzl, Johann G","first_name":"Johann G"},{"full_name":"Kreuzinger, Caroline","first_name":"Caroline","id":"382077BA-F248-11E8-B48F-1D18A9856A87","last_name":"Kreuzinger"}],"tmp":{"short":"CC BY-NC (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc/4.0/legalcode","image":"/images/cc_by_nc.png","name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)"},"user_id":"68b8ca59-c5b3-11ee-8790-cd641c68093d","title":"Research Data for the publication \"Super-resolution expansion microscopy in plant roots\"","abstract":[{"lang":"eng","text":"Super-resolution methods provide far better spatial resolution than the optical diffraction limit of about half the wavelength of light (∼200-300 nm). Nevertheless, they have yet to attain widespread use in plants, largely due to plants’ challenging optical properties. Expansion microscopy improves effective resolution by isotropically increasing the physical distances between sample structures while preserving relative spatial arrangements and clearing the sample. However, its application to plants has been hindered by the rigid, mechanically cohesive structure of plant tissues. Here, we report on whole-mount expansion microscopy of thale cress (Arabidopsis thaliana) root tissues (PlantEx), achieving a four-fold resolution increase over conventional microscopy. Our results highlight the microtubule cytoskeleton organization and interaction between molecularly defined cellular constituents. Combining PlantEx with stimulated emission depletion (STED) microscopy, we increase nanoscale resolution and visualize the complex organization of subcellular organelles from intact tissues by example of the densely packed COPI-coated vesicles associated with the Golgi apparatus and put these into a cellular structural context. Our results show that expansion microscopy can be applied to increase effective imaging resolution in Arabidopsis root specimens."}],"oa_version":"Published Version","related_material":{"record":[{"relation":"used_in_publication","id":"19003","status":"public"}]},"license":"https://creativecommons.org/licenses/by-nc/4.0/","corr_author":"1","year":"2025","has_accepted_license":"1","date_updated":"2026-06-10T08:30:20Z"},{"doi":"10.1016/j.cell.2024.11.022","OA_place":"publisher","language":[{"iso":"eng"}],"volume":188,"issue":"2","citation":{"ama":"Watson J, Vargas Barroso VM, Morse R, et al. Human hippocampal CA3 uses specific functional connectivity rules for efficient associative memory. <i>Cell</i>. 2025;188(2):501-514.e18. doi:<a href=\"https://doi.org/10.1016/j.cell.2024.11.022\">10.1016/j.cell.2024.11.022</a>","ieee":"J. Watson <i>et al.</i>, “Human hippocampal CA3 uses specific functional connectivity rules for efficient associative memory,” <i>Cell</i>, vol. 188, no. 2. Elsevier, p. 501–514.e18, 2025.","mla":"Watson, Jake, et al. “Human Hippocampal CA3 Uses Specific Functional Connectivity Rules for Efficient Associative Memory.” <i>Cell</i>, vol. 188, no. 2, Elsevier, 2025, p. 501–514.e18, doi:<a href=\"https://doi.org/10.1016/j.cell.2024.11.022\">10.1016/j.cell.2024.11.022</a>.","apa":"Watson, J., Vargas Barroso, V. M., Morse, R., Navas Olivé, A. C., Tavakoli, M., Danzl, J. G., … Jonas, P. M. (2025). Human hippocampal CA3 uses specific functional connectivity rules for efficient associative memory. <i>Cell</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.cell.2024.11.022\">https://doi.org/10.1016/j.cell.2024.11.022</a>","short":"J. Watson, V.M. Vargas Barroso, R. Morse, A.C. Navas Olivé, M. Tavakoli, J.G. Danzl, M. Tomschik, K. Rössler, P.M. Jonas, Cell 188 (2025) 501–514.e18.","ista":"Watson J, Vargas Barroso VM, Morse R, Navas Olivé AC, Tavakoli M, Danzl JG, Tomschik M, Rössler K, Jonas PM. 2025. Human hippocampal CA3 uses specific functional connectivity rules for efficient associative memory. Cell. 188(2), 501–514.e18.","chicago":"Watson, Jake, Victor M Vargas Barroso, Rebecca Morse, Andrea C Navas Olivé, Mojtaba Tavakoli, Johann G Danzl, Matthias Tomschik, Karl Rössler, and Peter M Jonas. “Human Hippocampal CA3 Uses Specific Functional Connectivity Rules for Efficient Associative Memory.” <i>Cell</i>. Elsevier, 2025. <a href=\"https://doi.org/10.1016/j.cell.2024.11.022\">https://doi.org/10.1016/j.cell.2024.11.022</a>."},"month":"01","project":[{"name":"Biophysics and circuit function of a giant cortical glutamatergic synapse","call_identifier":"H2020","grant_number":"692692","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425"},{"call_identifier":"H2020","grant_number":"101026635","_id":"fc2be41b-9c52-11eb-aca3-faa90aa144e9","name":"Synaptic computations of the hippocampal CA3 circuitry"},{"name":"Studying Organelle Structure and Function at Nanoscale Resolution with Expansion Microscopy","_id":"6285a163-2b32-11ec-9570-8e204ca2dba5","grant_number":"26137"},{"name":"Molecular Drug Targets","grant_number":"W1232","call_identifier":"FWF","_id":"2548AE96-B435-11E9-9278-68D0E5697425"},{"name":"Synaptic networks of human brain","grant_number":"PAT 4178023","_id":"8d9195e9-16d5-11f0-9cad-d075be887a1e"},{"name":"NOMIS Fellowship Program","_id":"9B861AAC-BA93-11EA-9121-9846C619BF3A"}],"date_created":"2025-01-26T23:01:49Z","status":"public","OA_type":"hybrid","external_id":{"isi":["001408395600001"],"pmid":["39667938"]},"oa":1,"_id":"18879","quality_controlled":"1","article_processing_charge":"Yes (via OA deal)","ddc":["570"],"scopus_import":"1","has_accepted_license":"1","year":"2025","ec_funded":1,"pmid":1,"abstract":[{"text":"Our brain has remarkable computational power, generating sophisticated behaviors, storing memories over an individual’s lifetime, and producing higher cognitive functions. However, little of our neuroscience knowledge covers the human brain. Is this organ truly unique, or is it a scaled version of the extensively studied rodent brain? Combining multicellular patch-clamp recording with expansion-based superresolution microscopy and full-scale modeling, we determined the cellular and microcircuit properties of the human hippocampal CA3 region, a fundamental circuit for memory storage. In contrast to neocortical networks, human hippocampal CA3 displayed sparse connectivity, providing a circuit architecture that maximizes associational power. Human synapses showed unique reliability, high precision, and long integration times, exhibiting both species- and circuit-specific properties. Together with expanded neuronal numbers, these circuit characteristics greatly enhanced the memory storage capacity of CA3. Our results reveal distinct microcircuit properties of the human hippocampus and begin to unravel the inner workings of our most complex organ. ","lang":"eng"}],"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)"},"title":"Human hippocampal CA3 uses specific functional connectivity rules for efficient associative memory","publisher":"Elsevier","intvolume":"       188","file":[{"file_size":14082343,"access_level":"open_access","file_name":"2025_Cell_Watson.pdf","content_type":"application/pdf","file_id":"18884","checksum":"d5a818edc32d249cdf75e1bb5b70a4b7","creator":"dernst","date_created":"2025-01-27T08:46:33Z","success":1,"relation":"main_file","date_updated":"2025-01-27T08:46:33Z"}],"publication_status":"published","type":"journal_article","isi":1,"page":"501-514.e18","department":[{"_id":"JoDa"},{"_id":"PeJo"},{"_id":"GradSch"}],"day":"23","file_date_updated":"2025-01-27T08:46:33Z","date_published":"2025-01-23T00:00:00Z","date_updated":"2026-04-14T08:34:32Z","acknowledgement":"We thank Florian Marr for excellent technical assistance, Christina Altmutter and Julia Flor for technical support, Alois Schlögl for programming, Todor Asenov for development of the transportation box for human brain tissue, Tim Vogels for guidance on simulations, Marcus Huber for mathematical advice, Walter Kaufmann for assistance with handling frozen tissue, and Eleftheria Kralli-Beller for manuscript editing. This research was supported by the Scientific Services Units (SSUs) of ISTA, and we are grateful for assistance from Christoph Sommer and the Imaging and Optics Facility, Preclinical Facility, Lab Support Facility, Miba Machine Shop, and Scientific Computing. We are particularly grateful to the patient donors for their support of this project and also acknowledge the excellent support of the Medical University of Vienna Department of Neurosurgery staff; Romana Hoeftberger and the Division of Neuropathology and Neurochemistry; Gregor Kasprian and the Division of Neuroradiology and Musculoskeletal Radiology; and Christoph Baumgartner, Martha Feucht, and Ekaterina Pataraia for their clinical care of the patients included in this study. We thank Laura Jonkman, the NABCA biobank, and postmortem brain sample donors for their support of this research. The project received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (advanced grant no. 692692 to P.J. and Marie Skłodowska-Curie Actions Individual Fellowship no. 101026635 to J.F.W.), the Austrian Science Fund (FWF; grant PAT 4178023 to P.J. and grant DK W1232 to M.R.T. and J.G.D.), the Austrian Academy of Sciences (DOC fellowship 26137 to M.R.T.), and a NOMIS-ISTA fellowship (to A.N.-O.).","corr_author":"1","acknowledged_ssus":[{"_id":"Bio"},{"_id":"PreCl"},{"_id":"LifeSc"},{"_id":"M-Shop"},{"_id":"ScienComp"}],"publication":"Cell","related_material":{"record":[{"status":"public","id":"18688","relation":"earlier_version"}]},"oa_version":"Published Version","article_type":"original","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"id":"63836096-4690-11EA-BD4E-32803DDC885E","last_name":"Watson","orcid":"0000-0002-8698-3823","first_name":"Jake","full_name":"Watson, Jake"},{"last_name":"Vargas Barroso","id":"2F55A9DE-F248-11E8-B48F-1D18A9856A87","first_name":"Victor M","full_name":"Vargas Barroso, Victor M"},{"id":"ceb89ae7-dc8d-11ea-abe3-da3301d0eab4","last_name":"Morse","first_name":"Rebecca","full_name":"Morse, Rebecca"},{"first_name":"Andrea C","full_name":"Navas Olivé, Andrea C","id":"739d26c9-52e8-11ee-8d72-f14d3893b4ce","last_name":"Navas Olivé","orcid":"0000-0002-9280-8597"},{"first_name":"Mojtaba","full_name":"Tavakoli, Mojtaba","id":"3A0A06F4-F248-11E8-B48F-1D18A9856A87","last_name":"Tavakoli","orcid":"0000-0002-7667-6854"},{"full_name":"Danzl, Johann G","first_name":"Johann G","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8559-3973","last_name":"Danzl"},{"last_name":"Tomschik","first_name":"Matthias","full_name":"Tomschik, Matthias"},{"last_name":"Rössler","full_name":"Rössler, Karl","first_name":"Karl"},{"full_name":"Jonas, Peter M","first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","last_name":"Jonas","orcid":"0000-0001-5001-4804"}],"publication_identifier":{"issn":["0092-8674"],"eissn":["1097-4172"]}},{"scopus_import":"1","ec_funded":1,"year":"2025","has_accepted_license":"1","pmid":1,"abstract":[{"lang":"eng","text":"Super-resolution methods provide far better spatial resolution than the optical diffraction limit of about half the wavelength of light (∼200-300 nm). Nevertheless, they have yet to attain widespread use in plants, largely due to plants’ challenging optical properties. Expansion microscopy improves effective resolution by isotropically increasing the physical distances between sample structures while preserving relative spatial arrangements and clearing the sample. However, its application to plants has been hindered by the rigid, mechanically cohesive structure of plant tissues. Here, we report on whole-mount expansion microscopy of thale cress (Arabidopsis thaliana) root tissues (PlantEx), achieving a four-fold resolution increase over conventional microscopy. Our results highlight the microtubule cytoskeleton organization and interaction between molecularly defined cellular constituents. Combining PlantEx with stimulated emission depletion (STED) microscopy, we increase nanoscale resolution and visualize the complex organization of subcellular organelles from intact tissues by example of the densely packed COPI-coated vesicles associated with the Golgi apparatus and put these into a cellular structural context. Our results show that expansion microscopy can be applied to increase effective imaging resolution in Arabidopsis root specimens. "}],"publisher":"Oxford University Press","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)"},"title":"Super-resolution expansion microscopy in plant roots","language":[{"iso":"eng"}],"volume":37,"OA_place":"publisher","doi":"10.1093/plcell/koaf006","project":[{"name":"Tracing Evolution of Auxin Transport and Polarity in Plants","_id":"261099A6-B435-11E9-9278-68D0E5697425","grant_number":"742985","call_identifier":"H2020"},{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","grant_number":"665385","name":"International IST Doctoral Program"},{"call_identifier":"H2020","grant_number":"754411","_id":"260C2330-B435-11E9-9278-68D0E5697425","name":"ISTplus - Postdoctoral Fellowships"},{"name":"UltraX - achieving sub-nanometer resolution in light microscopy using iterative X10 microscopy in combination with nanobodies and STED","_id":"269B5B22-B435-11E9-9278-68D0E5697425","grant_number":"ALTF 679-2018"},{"name":"Studying Organelle Structure and Function at Nanoscale Resolution with Expansion Microscopy","_id":"6285a163-2b32-11ec-9570-8e204ca2dba5","grant_number":"26137"},{"_id":"26AA4EF2-B435-11E9-9278-68D0E5697425","grant_number":"W1232-B24","call_identifier":"FWF","name":"Molecular Drug Targets"}],"date_created":"2025-02-05T06:52:06Z","status":"public","issue":"4","citation":{"ama":"Gallei MC, Truckenbrodt SM, Kreuzinger C, et al. Super-resolution expansion microscopy in plant roots. <i>The Plant Cell</i>. 2025;37(4). doi:<a href=\"https://doi.org/10.1093/plcell/koaf006\">10.1093/plcell/koaf006</a>","ieee":"M. C. Gallei <i>et al.</i>, “Super-resolution expansion microscopy in plant roots,” <i>The Plant Cell</i>, vol. 37, no. 4. Oxford University Press, 2025.","mla":"Gallei, Michelle C., et al. “Super-Resolution Expansion Microscopy in Plant Roots.” <i>The Plant Cell</i>, vol. 37, no. 4, koaf006, Oxford University Press, 2025, doi:<a href=\"https://doi.org/10.1093/plcell/koaf006\">10.1093/plcell/koaf006</a>.","apa":"Gallei, M. C., Truckenbrodt, S. M., Kreuzinger, C., Inumella, S., Vistunou, V., Sommer, C. M., … Danzl, J. G. (2025). Super-resolution expansion microscopy in plant roots. <i>The Plant Cell</i>. Oxford University Press. <a href=\"https://doi.org/10.1093/plcell/koaf006\">https://doi.org/10.1093/plcell/koaf006</a>","short":"M.C. Gallei, S.M. Truckenbrodt, C. Kreuzinger, S. Inumella, V. Vistunou, C.M. Sommer, M. Tavakoli, N. Agudelo Duenas, J. Vorlaufer, W. Jahr, M. Randuch, A.J. Johnson, E. Benková, J. Friml, J.G. Danzl, The Plant Cell 37 (2025).","ista":"Gallei MC, Truckenbrodt SM, Kreuzinger C, Inumella S, Vistunou V, Sommer CM, Tavakoli M, Agudelo Duenas N, Vorlaufer J, Jahr W, Randuch M, Johnson AJ, Benková E, Friml J, Danzl JG. 2025. Super-resolution expansion microscopy in plant roots. The Plant Cell. 37(4), koaf006.","chicago":"Gallei, Michelle C, Sven M Truckenbrodt, Caroline Kreuzinger, Syamala Inumella, Vitali Vistunou, Christoph M Sommer, Mojtaba Tavakoli, et al. “Super-Resolution Expansion Microscopy in Plant Roots.” <i>The Plant Cell</i>. Oxford University Press, 2025. <a href=\"https://doi.org/10.1093/plcell/koaf006\">https://doi.org/10.1093/plcell/koaf006</a>."},"month":"04","oa":1,"external_id":{"isi":["001462763100001"],"pmid":["39792900"]},"OA_type":"hybrid","ddc":["580"],"article_processing_charge":"Yes (via OA deal)","_id":"19003","quality_controlled":"1","corr_author":"1","date_updated":"2026-06-10T08:30:19Z","acknowledgement":"We gratefully acknowledge support by the Scientific Service Units at ISTA, including the Imaging and Optics and Lab Support facilities and the mechanical workshop and Library. We thank Philipp Velicky for STED microscope alignment.\r\nThis project has received funding from the European Research Council under the Horizon 2020 Framework Programme (grant agreement No 742985, J.F.). It has also received funding from the Horizon 2020 Framework Programme under the Marie Skłodowska-Curie Grant Agreement No. 665385 (M.G.). S.T. has received funding as an ISTplus Fellow from the Horizon 2020 Framework Programme under Marie Skłodowska-Curie grant agreement no. 754411 and from EMBO via a Long-Term Fellowship (grant number ALTF 679-2018). M.R.T. received funding from the Austrian Academy of Sciences with DOC fellowship no. 26137. The project has further received funding from the Austrian Science Fund, via grant DK W1232 (M.R.T., N.A.D., and J.G.D). W.J. received a postdoctoral fellowship from the Human Frontier Science Program (LT000557/2018). The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.","related_material":{"record":[{"status":"public","id":"18689","relation":"earlier_version"},{"id":"18837","status":"public","relation":"research_data"}]},"acknowledged_ssus":[{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"E-Lib"},{"_id":"M-Shop"}],"publication":"The Plant Cell","article_type":"original","article_number":"koaf006","oa_version":"Published Version","author":[{"first_name":"Michelle C","full_name":"Gallei, Michelle C","id":"35A03822-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-1286-7368","last_name":"Gallei"},{"first_name":"Sven M","full_name":"Truckenbrodt, Sven M","id":"45812BD4-F248-11E8-B48F-1D18A9856A87","last_name":"Truckenbrodt"},{"first_name":"Caroline","full_name":"Kreuzinger, Caroline","id":"382077BA-F248-11E8-B48F-1D18A9856A87","last_name":"Kreuzinger"},{"full_name":"Inumella, Syamala","first_name":"Syamala","last_name":"Inumella","orcid":"0009-0002-5890-120X","id":"F8660870-D756-11E9-98C5-34DFE5697425"},{"last_name":"Vistunou","id":"7e146587-8972-11ed-ae7b-d7a32ea86a81","full_name":"Vistunou, Vitali","first_name":"Vitali"},{"first_name":"Christoph M","full_name":"Sommer, Christoph M","orcid":"0000-0003-1216-9105","last_name":"Sommer","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Tavakoli","orcid":"0000-0002-7667-6854","id":"3A0A06F4-F248-11E8-B48F-1D18A9856A87","first_name":"Mojtaba","full_name":"Tavakoli, Mojtaba"},{"full_name":"Agudelo Duenas, Nathalie","first_name":"Nathalie","last_name":"Agudelo Duenas","id":"40E7F008-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Vorlaufer","orcid":"0009-0000-7590-3501","id":"937696FA-C996-11E9-8C7C-CF13E6697425","full_name":"Vorlaufer, Jakob","first_name":"Jakob"},{"id":"425C1CE8-F248-11E8-B48F-1D18A9856A87","last_name":"Jahr","orcid":"0000-0003-0201-2315","first_name":"Wiebke","full_name":"Jahr, Wiebke"},{"full_name":"Randuch, Marek","first_name":"Marek","id":"6ac4636d-15b2-11ec-abd3-fb8df79972ae","last_name":"Randuch"},{"full_name":"Johnson, Alexander J","first_name":"Alexander J","id":"46A62C3A-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-2739-8843","last_name":"Johnson"},{"orcid":"0000-0002-8510-9739","last_name":"Benková","id":"38F4F166-F248-11E8-B48F-1D18A9856A87","full_name":"Benková, Eva","first_name":"Eva"},{"last_name":"Friml","orcid":"0000-0002-8302-7596","id":"4159519E-F248-11E8-B48F-1D18A9856A87","full_name":"Friml, Jiří","first_name":"Jiří"},{"first_name":"Johann G","full_name":"Danzl, Johann G","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8559-3973","last_name":"Danzl"}],"publication_identifier":{"issn":["1040-4651"],"eissn":["1532-298X"]},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication_status":"published","intvolume":"        37","file":[{"relation":"main_file","date_updated":"2025-07-31T07:03:43Z","success":1,"date_created":"2025-07-31T07:03:43Z","file_id":"20092","content_type":"application/pdf","checksum":"9d3f8218ff37a29f29c48a7bbe831bd3","creator":"dernst","file_size":53904111,"access_level":"open_access","file_name":"2025_PlantCell_Gallei.pdf"}],"PlanS_conform":"1","file_date_updated":"2025-07-31T07:03:43Z","day":"01","type":"journal_article","isi":1,"department":[{"_id":"EvBe"},{"_id":"JoDa"},{"_id":"JiFr"}],"date_published":"2025-04-01T00:00:00Z"},{"oa":1,"external_id":{"isi":["001483477000001"],"pmid":["40335689"]},"OA_type":"hybrid","ddc":["570"],"_id":"19704","quality_controlled":"1","article_processing_charge":"Yes (via OA deal)","language":[{"iso":"eng"}],"volume":642,"OA_place":"publisher","doi":"10.1038/s41586-025-08985-1","date_created":"2025-05-18T22:02:51Z","project":[{"_id":"6285a163-2b32-11ec-9570-8e204ca2dba5","grant_number":"26137","name":"Studying Organelle Structure and Function at Nanoscale Resolution with Expansion Microscopy"},{"name":"International IST Doctoral Program","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385","call_identifier":"H2020"},{"_id":"34ba8964-11ca-11ed-8bc3-e15864e7e9a6","grant_number":"101044865","name":"Toward an understanding of the brain interstitial system and the extracellular proteome in health and autism spectrum disorders"},{"name":"Molecular Drug Targets","_id":"26AA4EF2-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","grant_number":"W1232-B24"}],"status":"public","citation":{"apa":"Tavakoli, M., Lyudchik, J., Januszewski, M., Vistunou, V., Agudelo Duenas, N., Vorlaufer, J., … Danzl, J. G. (2025). Light-microscopy-based connectomic reconstruction of mammalian brain tissue. <i>Nature</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41586-025-08985-1\">https://doi.org/10.1038/s41586-025-08985-1</a>","ama":"Tavakoli M, Lyudchik J, Januszewski M, et al. Light-microscopy-based connectomic reconstruction of mammalian brain tissue. <i>Nature</i>. 2025;642:398-410. doi:<a href=\"https://doi.org/10.1038/s41586-025-08985-1\">10.1038/s41586-025-08985-1</a>","ieee":"M. Tavakoli <i>et al.</i>, “Light-microscopy-based connectomic reconstruction of mammalian brain tissue,” <i>Nature</i>, vol. 642. Springer Nature, pp. 398–410, 2025.","mla":"Tavakoli, Mojtaba, et al. “Light-Microscopy-Based Connectomic Reconstruction of Mammalian Brain Tissue.” <i>Nature</i>, vol. 642, Springer Nature, 2025, pp. 398–410, doi:<a href=\"https://doi.org/10.1038/s41586-025-08985-1\">10.1038/s41586-025-08985-1</a>.","chicago":"Tavakoli, Mojtaba, Julia Lyudchik, Michał Januszewski, Vitali Vistunou, Nathalie Agudelo Duenas, Jakob Vorlaufer, Christoph M Sommer, et al. “Light-Microscopy-Based Connectomic Reconstruction of Mammalian Brain Tissue.” <i>Nature</i>. Springer Nature, 2025. <a href=\"https://doi.org/10.1038/s41586-025-08985-1\">https://doi.org/10.1038/s41586-025-08985-1</a>.","ista":"Tavakoli M, Lyudchik J, Januszewski M, Vistunou V, Agudelo Duenas N, Vorlaufer J, Sommer CM, Kreuzinger C, Oliveira B, Cenameri A, Novarino G, Jain V, Danzl JG. 2025. Light-microscopy-based connectomic reconstruction of mammalian brain tissue. Nature. 642, 398–410.","short":"M. Tavakoli, J. Lyudchik, M. Januszewski, V. Vistunou, N. Agudelo Duenas, J. Vorlaufer, C.M. Sommer, C. Kreuzinger, B. Oliveira, A. Cenameri, G. Novarino, V. Jain, J.G. Danzl, Nature 642 (2025) 398–410."},"month":"06","abstract":[{"lang":"eng","text":"The information-processing capability of the brain’s cellular network depends on the physical wiring pattern between neurons and their molecular and functional characteristics. Mapping neurons and resolving their individual synaptic connections can be achieved by volumetric imaging at nanoscale resolution1,2 with dense cellular labelling. Light microscopy is uniquely positioned to visualize specific molecules, but dense, synapse-level circuit reconstruction by light microscopy has been out of reach, owing to limitations in resolution, contrast and volumetric imaging capability. Here we describe light-microscopy-based connectomics (LICONN). We integrated specifically engineered hydrogel embedding and expansion with comprehensive deep-learning-based segmentation and analysis of connectivity, thereby directly incorporating molecular information into synapse-level reconstructions of brain tissue. LICONN will allow synapse-level phenotyping of brain tissue in biological experiments in a readily adoptable manner."}],"publisher":"Springer Nature","title":"Light-microscopy-based connectomic reconstruction of mammalian brain tissue","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)"},"scopus_import":"1","year":"2025","ec_funded":1,"has_accepted_license":"1","pmid":1,"PlanS_conform":"1","day":"12","file_date_updated":"2025-07-03T06:55:20Z","page":"398-410","type":"journal_article","isi":1,"department":[{"_id":"JoDa"},{"_id":"GradSch"},{"_id":"Bio"},{"_id":"GaNo"}],"date_published":"2025-06-12T00:00:00Z","publication_status":"published","intvolume":"       642","file":[{"date_updated":"2025-07-03T06:55:20Z","relation":"main_file","date_created":"2025-07-03T06:55:20Z","success":1,"content_type":"application/pdf","file_id":"19959","creator":"dernst","checksum":"ebc99d7108e728f46db0a009292675ef","file_name":"2025_Nature_Tavakoli.pdf","file_size":133201290,"access_level":"open_access"}],"article_type":"original","oa_version":"Published Version","publication_identifier":{"issn":["0028-0836"],"eissn":["1476-4687"]},"author":[{"first_name":"Mojtaba","full_name":"Tavakoli, Mojtaba","orcid":"0000-0002-7667-6854","last_name":"Tavakoli","id":"3A0A06F4-F248-11E8-B48F-1D18A9856A87"},{"id":"46E28B80-F248-11E8-B48F-1D18A9856A87","last_name":"Lyudchik","full_name":"Lyudchik, Julia","first_name":"Julia"},{"last_name":"Januszewski","first_name":"Michał","full_name":"Januszewski, Michał"},{"full_name":"Vistunou, Vitali","first_name":"Vitali","id":"7e146587-8972-11ed-ae7b-d7a32ea86a81","last_name":"Vistunou"},{"full_name":"Agudelo Duenas, Nathalie","first_name":"Nathalie","last_name":"Agudelo Duenas","id":"40E7F008-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Jakob","full_name":"Vorlaufer, Jakob","id":"937696FA-C996-11E9-8C7C-CF13E6697425","orcid":"0009-0000-7590-3501","last_name":"Vorlaufer"},{"last_name":"Sommer","orcid":"0000-0003-1216-9105","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","full_name":"Sommer, Christoph M","first_name":"Christoph M"},{"last_name":"Kreuzinger","id":"382077BA-F248-11E8-B48F-1D18A9856A87","first_name":"Caroline","full_name":"Kreuzinger, Caroline"},{"id":"3B03AA1A-F248-11E8-B48F-1D18A9856A87","last_name":"Oliveira","first_name":"Bárbara","full_name":"Oliveira, Bárbara"},{"full_name":"Cenameri, Alban","first_name":"Alban","id":"9ac8f577-2357-11eb-997a-e566c5550886","last_name":"Cenameri"},{"first_name":"Gaia","full_name":"Novarino, Gaia","id":"3E57A680-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7673-7178","last_name":"Novarino"},{"first_name":"Viren","full_name":"Jain, Viren","last_name":"Jain"},{"first_name":"Johann G","full_name":"Danzl, Johann G","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","last_name":"Danzl","orcid":"0000-0001-8559-3973"}],"user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","corr_author":"1","date_updated":"2026-04-28T13:33:34Z","acknowledgement":"We thank S. Dorkenwald and P. Li for critical reading of the manuscript, S. Loomba for discussions and E. Miguel for support with data handling. We acknowledge support from ISTA’s scientific service units: Imaging and Optics, Lab Support, Scientific Computing, the preclinical facility, the Miba Machine Shop and the library. We acknowledge funding from the following sources: Austrian Science Fund (FWF) grant DK W1232 (J.G.D. and M.R.T.); Austrian Academy of Sciences DOC fellowship 26137 (M.R.T.); Gesellschaft für Forschungsförderung NÖ (NFB) grant LSC18-022 (J.G.D.); the European Union’s Horizon 2020 research and innovation programme and Marie Skłodowska-Curie Actions Fellowship 665385 (J.L.); and the European Union’s Horizon 2020 research and innovation programme and European Research Council (ERC) grant 101044865 ‘SecretAutism’ (G.N.).Open access funding provided by Institute of Science and Technology (IST Austria).","related_material":{"record":[{"relation":"earlier_version","id":"18677","status":"public"},{"relation":"research_data","id":"18697","status":"public"}],"link":[{"description":"News on ISTA website","relation":"press_release","url":"https://ista.ac.at/en/news/piecing-together-the-brain-puzzle/"}]},"acknowledged_ssus":[{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"ScienComp"},{"_id":"PreCl"},{"_id":"M-Shop"},{"_id":"E-Lib"}],"publication":"Nature"},{"acknowledged_ssus":[{"_id":"M-Shop"},{"_id":"EM-Fac"},{"_id":"LifeSc"}],"publication":"Biophysical Reports","related_material":{"record":[{"status":"public","id":"20206","relation":"dissertation_contains"}]},"date_updated":"2026-04-07T11:48:07Z","acknowledgement":"We acknowledge expert support by ISTA’s scientific service units, including the Miba Machine Shop, the Electron Microscopy Facility, and the Lab Support Facility. This work has been made possible in part by CZI grant DAF2021-234754 and grant DOI: https://doi.org/10.37921/812628ebpcwg from the Chan Zuckerberg Initiative DAF, an advised fund of Silicon Valley Community Foundation (funder DOI: https://doi.org/10.13039/100014989) (F.K.M.S. and J.G.D.). We further gratefully acknowledge funding by the following sources: Austrian Science Fund (FWF) grant DK W1232 (M.R.T. and J.G.D.); Austrian Academy of Sciences DOC fellowship 26137 (M.R.T.); Marie Skłodowska-Curie Actions Fellowship GA no. 665385 under the EU Horizon 2020 program (J.L.); ISTA postdoctoral fellowship IST fellow (A.W.); and Human Frontier Science Program postdoctoral fellowship LT000557/2018 (W.J.).","corr_author":"1","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication_identifier":{"eissn":["2667-0747"]},"author":[{"id":"937696FA-C996-11E9-8C7C-CF13E6697425","last_name":"Vorlaufer","orcid":"0009-0000-7590-3501","full_name":"Vorlaufer, Jakob","first_name":"Jakob"},{"id":"e64d39c7-72ef-11ef-b75a-ee3046860d1b","last_name":"Semenov","first_name":"Nikolai","full_name":"Semenov, Nikolai"},{"first_name":"Caroline","full_name":"Kreuzinger, Caroline","id":"382077BA-F248-11E8-B48F-1D18A9856A87","last_name":"Kreuzinger"},{"orcid":"0000-0003-2311-2112","last_name":"Javoor","id":"305ab18b-dc7d-11ea-9b2f-b58195228ea2","full_name":"Javoor, Manjunath","first_name":"Manjunath"},{"id":"45FD126C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-9561-1239","last_name":"Zens","full_name":"Zens, Bettina","first_name":"Bettina"},{"full_name":"Agudelo Duenas, Nathalie","first_name":"Nathalie","last_name":"Agudelo Duenas","id":"40E7F008-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Mojtaba","full_name":"Tavakoli, Mojtaba","id":"3A0A06F4-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7667-6854","last_name":"Tavakoli"},{"first_name":"Marek","full_name":"Suplata, Marek","last_name":"Suplata","id":"EE8452B8-C26A-11E9-B157-E80CE6697425"},{"first_name":"Wiebke","full_name":"Jahr, Wiebke","last_name":"Jahr","orcid":"0000-0003-0201-2315","id":"425C1CE8-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Lyudchik, Julia","first_name":"Julia","id":"46E28B80-F248-11E8-B48F-1D18A9856A87","last_name":"Lyudchik"},{"full_name":"Wartak, Andreas","first_name":"Andreas","id":"60aaa06c-3de5-11eb-9e53-baa88e955dcb","last_name":"Wartak"},{"orcid":"0000-0003-4790-8078","last_name":"Schur","id":"48AD8942-F248-11E8-B48F-1D18A9856A87","full_name":"Schur, Florian Km","first_name":"Florian Km"},{"full_name":"Danzl, Johann G","first_name":"Johann G","orcid":"0000-0001-8559-3973","last_name":"Danzl","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87"}],"oa_version":"Published Version","article_number":"100211","article_type":"original","intvolume":"         5","file":[{"relation":"main_file","date_updated":"2025-06-10T07:24:46Z","success":1,"date_created":"2025-06-10T07:24:46Z","creator":"dernst","checksum":"4018c833f25a3ad3b57e3577fed70334","file_id":"19802","content_type":"application/pdf","access_level":"open_access","file_size":7238179,"file_name":"2025_BiophysicalReports_Vorlaufer.pdf"}],"publication_status":"published","DOAJ_listed":"1","date_published":"2025-06-11T00:00:00Z","type":"journal_article","department":[{"_id":"JoDa"},{"_id":"GradSch"},{"_id":"FlSc"},{"_id":"EM-Fac"}],"file_date_updated":"2025-06-10T07:24:46Z","day":"11","scopus_import":"1","year":"2025","has_accepted_license":"1","ec_funded":1,"title":"Image-based 3D active sample stabilization on the nanometer scale for optical microscopy","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)"},"publisher":"Elsevier","abstract":[{"text":"Super-resolution microscopy often entails long acquisition times of minutes to hours. Since drifts during the acquisition adversely affect data quality, active sample stabilization is commonly used for some of these techniques to reach their full potential. Although drifts in the lateral plane can often be corrected after acquisition, this is not always possible or may come with drawbacks. Therefore, it is appealing to stabilize sample position in three dimensions (3D) during acquisition. Various schemes for active sample stabilization have been demonstrated previously, with some reaching sub-nanometer stability in 3D. Here, we present a scheme for active drift correction that delivers the nanometer-scale 3D stability demanded by state-of-the-art super-resolution techniques and is straightforward to implement compared to previous schemes capable of reaching this level of stabilization precision. Using a refined algorithm that can handle various types of reference structure, without sparse signal peaks being mandatory, we stabilized sample position to ∼1 nm in 3D using objective lenses both with high and low numerical aperture. Our implementation requires only the addition of a simple widefield imaging path and we provide an open-source control software with graphical user interface to facilitate easy adoption of the module. Finally, we demonstrate how this has the potential to enhance data collection for diffraction-limited and super-resolution imaging techniques using single-molecule localization microscopy and cryo-confocal imaging as showcases.","lang":"eng"}],"issue":"2","citation":{"ieee":"J. Vorlaufer <i>et al.</i>, “Image-based 3D active sample stabilization on the nanometer scale for optical microscopy,” <i>Biophysical Reports</i>, vol. 5, no. 2. Elsevier, 2025.","mla":"Vorlaufer, Jakob, et al. “Image-Based 3D Active Sample Stabilization on the Nanometer Scale for Optical Microscopy.” <i>Biophysical Reports</i>, vol. 5, no. 2, 100211, Elsevier, 2025, doi:<a href=\"https://doi.org/10.1016/j.bpr.2025.100211\">10.1016/j.bpr.2025.100211</a>.","ama":"Vorlaufer J, Semenov N, Kreuzinger C, et al. Image-based 3D active sample stabilization on the nanometer scale for optical microscopy. <i>Biophysical Reports</i>. 2025;5(2). doi:<a href=\"https://doi.org/10.1016/j.bpr.2025.100211\">10.1016/j.bpr.2025.100211</a>","apa":"Vorlaufer, J., Semenov, N., Kreuzinger, C., Javoor, M., Zens, B., Agudelo Duenas, N., … Danzl, J. G. (2025). Image-based 3D active sample stabilization on the nanometer scale for optical microscopy. <i>Biophysical Reports</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.bpr.2025.100211\">https://doi.org/10.1016/j.bpr.2025.100211</a>","short":"J. Vorlaufer, N. Semenov, C. Kreuzinger, M. Javoor, B. Zens, N. Agudelo Duenas, M. Tavakoli, M. Suplata, W. Jahr, J. Lyudchik, A. Wartak, F.K. Schur, J.G. Danzl, Biophysical Reports 5 (2025).","chicago":"Vorlaufer, Jakob, Nikolai Semenov, Caroline Kreuzinger, Manjunath Javoor, Bettina Zens, Nathalie Agudelo Duenas, Mojtaba Tavakoli, et al. “Image-Based 3D Active Sample Stabilization on the Nanometer Scale for Optical Microscopy.” <i>Biophysical Reports</i>. Elsevier, 2025. <a href=\"https://doi.org/10.1016/j.bpr.2025.100211\">https://doi.org/10.1016/j.bpr.2025.100211</a>.","ista":"Vorlaufer J, Semenov N, Kreuzinger C, Javoor M, Zens B, Agudelo Duenas N, Tavakoli M, Suplata M, Jahr W, Lyudchik J, Wartak A, Schur FK, Danzl JG. 2025. Image-based 3D active sample stabilization on the nanometer scale for optical microscopy. Biophysical Reports. 5(2), 100211."},"month":"06","project":[{"name":"CryoMinflux-guided in-situ molecular census and structure determination","_id":"62909c6f-2b32-11ec-9570-e1476aab5308","grant_number":"CZI01"},{"name":"Studying Organelle Structure and Function at Nanoscale Resolution with Expansion Microscopy","grant_number":"26137","_id":"6285a163-2b32-11ec-9570-8e204ca2dba5"},{"name":"International IST Doctoral Program","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","grant_number":"665385"},{"_id":"26AA4EF2-B435-11E9-9278-68D0E5697425","grant_number":"W1232-B24","call_identifier":"FWF","name":"Molecular Drug Targets"},{"grant_number":"LT00057","_id":"2668BFA0-B435-11E9-9278-68D0E5697425","name":"High-speed 3D-nanoscopy to study the role of adhesion during 3D cell migration"}],"date_created":"2025-06-08T22:01:22Z","status":"public","doi":"10.1016/j.bpr.2025.100211","OA_place":"publisher","language":[{"iso":"eng"}],"volume":5,"_id":"19795","article_processing_charge":"Yes","quality_controlled":"1","ddc":["570"],"OA_type":"gold","oa":1},{"has_accepted_license":"1","year":"2025","abstract":[{"text":"The internal structure of biomolecules and their organization in higher-order arrangements are key factors governing the working principles of biological systems. Bioimaging has successfully revealed arrangements across relevant spatial scales. For example, cryo-electron tomography has become widely used for analyzing biomolecular structures in situ due to its comprehensive structural visualization of near-natively preserved samples, and its capability of sub-nm resolution via averaging. However, the identification of molecules within crowded cellular environments is often hindered by low contrast. Fluorescence microscopy, on the other hand, routinely visualizes specifically labeled targets at single-molecule contrast against essentially zero background. Moreover, it provides comparatively high throughput and is amenable to multiplexing. Due to this complementarity, combining datasets from both modalities acquired on the same region via correlative light and electron microscopy can reveal novel types of information. \r\nThe spatial scale at which information can be extracted depends on imaging resolution and correlation accuracy. Since diffraction of light limits the resolution of conventional fluorescence microscopy to few hundreds of nanometers, reaching the full potential of correlative imaging requires super-resolution approaches. Performing imaging at cryogenic temperature preserves structures in a near-native state and minimizes distortions between the fluorescence and the electron microscopy datasets. Implementations of this concept have achieved correlation on the scale of cellular organelles or bacterial domains.\r\nWe have worked towards pushing correlative imaging to the single-molecule scale by improving cryo-super-resolution microscopy, and devising a refined image correlation workflow. As part of this project, I constructed a microscopy setup and adopted it for super-resolution fluorescence microscopy at room temperature and cryogenic conditions. I explored different cryo-stages and acquisition strategies. Specifically, I developed a new scheme for correcting sample drift, thus increasing mechanical stability during microscopy acquisitions.\r\n","lang":"eng"}],"tmp":{"short":"CC BY-NC-SA (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode","image":"/images/cc_by_nc_sa.png","name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)"},"title":"Construction of a cryo-super-resolution microscope to guide in situ structure analysis","publisher":"Institute of Science and Technology Austria","doi":"10.15479/AT-ISTA-20206","OA_place":"publisher","language":[{"iso":"eng"}],"degree_awarded":"PhD","citation":{"apa":"Vorlaufer, J. (2025). <i>Construction of a cryo-super-resolution microscope to guide in situ structure analysis</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT-ISTA-20206\">https://doi.org/10.15479/AT-ISTA-20206</a>","ieee":"J. Vorlaufer, “Construction of a cryo-super-resolution microscope to guide in situ structure analysis,” Institute of Science and Technology Austria, 2025.","mla":"Vorlaufer, Jakob. <i>Construction of a Cryo-Super-Resolution Microscope to Guide in Situ Structure Analysis</i>. Institute of Science and Technology Austria, 2025, doi:<a href=\"https://doi.org/10.15479/AT-ISTA-20206\">10.15479/AT-ISTA-20206</a>.","ama":"Vorlaufer J. Construction of a cryo-super-resolution microscope to guide in situ structure analysis. 2025. doi:<a href=\"https://doi.org/10.15479/AT-ISTA-20206\">10.15479/AT-ISTA-20206</a>","chicago":"Vorlaufer, Jakob. “Construction of a Cryo-Super-Resolution Microscope to Guide in Situ Structure Analysis.” Institute of Science and Technology Austria, 2025. <a href=\"https://doi.org/10.15479/AT-ISTA-20206\">https://doi.org/10.15479/AT-ISTA-20206</a>.","ista":"Vorlaufer J. 2025. Construction of a cryo-super-resolution microscope to guide in situ structure analysis. Institute of Science and Technology Austria.","short":"J. Vorlaufer, Construction of a Cryo-Super-Resolution Microscope to Guide in Situ Structure Analysis, Institute of Science and Technology Austria, 2025."},"month":"08","project":[{"name":"CryoMinflux-guided in-situ molecular census and structure determination","_id":"62909c6f-2b32-11ec-9570-e1476aab5308","grant_number":"CZI01"}],"date_created":"2025-08-22T08:12:55Z","status":"public","oa":1,"article_processing_charge":"No","_id":"20206","ddc":["621","535"],"supervisor":[{"id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8559-3973","last_name":"Danzl","first_name":"Johann G","full_name":"Danzl, Johann G"}],"date_updated":"2026-04-07T11:48:07Z","acknowledgement":"The project was supported by CZI grant DAF2021-234754 and grant\r\nDOI: https://doi.org/10.37921/812628ebpcwg from the Chan Zuckerberg Initiative DAF, an\r\nadvised fund of Silicon Valley Community Foundation (funder\r\nDOI: https://doi.org/10.13039/100014989), as well as internal grants from ISTA’s Equipment\r\nInvestment Committee and Interdisciplinary Project Committee. ","corr_author":"1","acknowledged_ssus":[{"_id":"M-Shop"},{"_id":"EM-Fac"},{"_id":"Bio"}],"related_material":{"record":[{"relation":"part_of_dissertation","status":"public","id":"19795"}]},"oa_version":"Published Version","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","publication_identifier":{"issn":["2663-337X"]},"author":[{"full_name":"Vorlaufer, Jakob","first_name":"Jakob","id":"937696FA-C996-11E9-8C7C-CF13E6697425","orcid":"0009-0000-7590-3501","last_name":"Vorlaufer"}],"alternative_title":["ISTA Thesis"],"file":[{"access_level":"closed","file_size":39735535,"file_name":"2025_Vorlaufer_Jakob_Thesis.docx","file_id":"20228","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","checksum":"191db3367c19c9b32b65f4bc3a7c19de","creator":"jvorlauf","date_created":"2025-08-25T13:49:55Z","relation":"source_file","date_updated":"2025-08-25T13:49:55Z"},{"date_created":"2025-08-25T13:49:56Z","success":1,"date_updated":"2025-08-25T13:49:56Z","relation":"main_file","file_name":"2025_Vorlaufer_Jakob_Thesis.pdf","file_size":10947446,"access_level":"open_access","content_type":"application/pdf","file_id":"20229","creator":"jvorlauf","checksum":"104400e6036921569610230c1d4899dc"}],"publication_status":"published","page":"107","type":"dissertation","department":[{"_id":"GradSch"},{"_id":"JoDa"}],"day":"25","file_date_updated":"2025-08-25T13:49:56Z","date_published":"2025-08-25T00:00:00Z"},{"month":"07","citation":{"ama":"Michalska JM, Lyudchik J, Velicky P, et al. Imaging brain tissue architecture across millimeter to nanometer scales. <i>Nature Biotechnology</i>. 2024;42:1051-1064. doi:<a href=\"https://doi.org/10.1038/s41587-023-01911-8\">10.1038/s41587-023-01911-8</a>","mla":"Michalska, Julia M., et al. “Imaging Brain Tissue Architecture across Millimeter to Nanometer Scales.” <i>Nature Biotechnology</i>, vol. 42, Springer Nature, 2024, pp. 1051–64, doi:<a href=\"https://doi.org/10.1038/s41587-023-01911-8\">10.1038/s41587-023-01911-8</a>.","ieee":"J. M. Michalska <i>et al.</i>, “Imaging brain tissue architecture across millimeter to nanometer scales,” <i>Nature Biotechnology</i>, vol. 42. Springer Nature, pp. 1051–1064, 2024.","apa":"Michalska, J. M., Lyudchik, J., Velicky, P., Korinkova, H., Watson, J., Cenameri, A., … Danzl, J. G. (2024). Imaging brain tissue architecture across millimeter to nanometer scales. <i>Nature Biotechnology</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41587-023-01911-8\">https://doi.org/10.1038/s41587-023-01911-8</a>","short":"J.M. Michalska, J. Lyudchik, P. Velicky, H. Korinkova, J. Watson, A. Cenameri, C.M. Sommer, N. Amberg, A. Venturino, K. Roessler, T. Czech, R. Höftberger, S. Siegert, G. Novarino, P.M. Jonas, J.G. Danzl, Nature Biotechnology 42 (2024) 1051–1064.","chicago":"Michalska, Julia M, Julia Lyudchik, Philipp Velicky, Hana Korinkova, Jake Watson, Alban Cenameri, Christoph M Sommer, et al. “Imaging Brain Tissue Architecture across Millimeter to Nanometer Scales.” <i>Nature Biotechnology</i>. Springer Nature, 2024. <a href=\"https://doi.org/10.1038/s41587-023-01911-8\">https://doi.org/10.1038/s41587-023-01911-8</a>.","ista":"Michalska JM, Lyudchik J, Velicky P, Korinkova H, Watson J, Cenameri A, Sommer CM, Amberg N, Venturino A, Roessler K, Czech T, Höftberger R, Siegert S, Novarino G, Jonas PM, Danzl JG. 2024. Imaging brain tissue architecture across millimeter to nanometer scales. Nature Biotechnology. 42, 1051–1064."},"status":"public","project":[{"name":"Optical control of synaptic function via adhesion molecules","call_identifier":"FWF","grant_number":"I03600","_id":"265CB4D0-B435-11E9-9278-68D0E5697425"},{"name":"Molecular Drug Targets","_id":"2548AE96-B435-11E9-9278-68D0E5697425","grant_number":"W1232","call_identifier":"FWF"},{"name":"Synaptic communication in neuronal microcircuits","grant_number":"Z00312","call_identifier":"FWF","_id":"25C5A090-B435-11E9-9278-68D0E5697425"},{"name":"High content imaging to decode human immune cell interactions in health and allergic disease","_id":"23889792-32DE-11EA-91FC-C7463DDC885E","grant_number":"LS18-022"},{"name":"Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo and in vitro Models","call_identifier":"H2020","grant_number":"715508","_id":"25444568-B435-11E9-9278-68D0E5697425"},{"call_identifier":"H2020","grant_number":"692692","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425","name":"Biophysics and circuit function of a giant cortical glutamatergic synapse"},{"name":"International IST Doctoral Program","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","grant_number":"665385"},{"_id":"fc2be41b-9c52-11eb-aca3-faa90aa144e9","grant_number":"101026635","call_identifier":"H2020","name":"Synaptic computations of the hippocampal CA3 circuitry"}],"date_created":"2023-09-03T22:01:15Z","doi":"10.1038/s41587-023-01911-8","OA_place":"publisher","volume":42,"language":[{"iso":"eng"}],"_id":"14257","article_processing_charge":"Yes (in subscription journal)","quality_controlled":"1","ddc":["570"],"external_id":{"pmid":["37653226"],"isi":["001065254200001"]},"OA_type":"hybrid","oa":1,"pmid":1,"ec_funded":1,"year":"2024","has_accepted_license":"1","scopus_import":"1","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)"},"title":"Imaging brain tissue architecture across millimeter to nanometer scales","publisher":"Springer Nature","abstract":[{"lang":"eng","text":"Mapping the complex and dense arrangement of cells and their connectivity in brain tissue demands nanoscale spatial resolution imaging. Super-resolution optical microscopy excels at visualizing specific molecules and individual cells but fails to provide tissue context. Here we developed Comprehensive Analysis of Tissues across Scales (CATS), a technology to densely map brain tissue architecture from millimeter regional to nanometer synaptic scales in diverse chemically fixed brain preparations, including rodent and human. CATS uses fixation-compatible extracellular labeling and optical imaging, including stimulated emission depletion or expansion microscopy, to comprehensively delineate cellular structures. It enables three-dimensional reconstruction of single synapses and mapping of synaptic connectivity by identification and analysis of putative synaptic cleft regions. Applying CATS to the mouse hippocampal mossy fiber circuitry, we reconstructed and quantified the synaptic input and output structure of identified neurons. We furthermore demonstrate applicability to clinically derived human tissue samples, including formalin-fixed paraffin-embedded routine diagnostic specimens, for visualizing the cellular architecture of brain tissue in health and disease."}],"file":[{"relation":"main_file","date_updated":"2025-01-09T07:48:01Z","success":1,"date_created":"2025-01-09T07:48:01Z","creator":"dernst","checksum":"57d5fafb16f02dcb9f7dddb1bd7e2a71","content_type":"application/pdf","file_id":"18784","access_level":"open_access","file_size":26065165,"file_name":"2024_NatureBiotech_Michalska.pdf"}],"intvolume":"        42","publication_status":"published","date_published":"2024-07-01T00:00:00Z","department":[{"_id":"SaSi"},{"_id":"GaNo"},{"_id":"PeJo"},{"_id":"JoDa"},{"_id":"Bio"},{"_id":"RySh"}],"type":"journal_article","page":"1051-1064","isi":1,"file_date_updated":"2025-01-09T07:48:01Z","day":"01","publication":"Nature Biotechnology","acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"Bio"},{"_id":"PreCl"},{"_id":"LifeSc"},{"_id":"M-Shop"},{"_id":"E-Lib"}],"related_material":{"record":[{"status":"deleted","id":"18660","relation":"dissertation_contains"},{"id":"13126","status":"public","relation":"research_data"},{"relation":"dissertation_contains","id":"18674","status":"public"}],"link":[{"relation":"software","url":"https://github.com/danzllab/CATS"}]},"acknowledgement":"We thank J. Vorlaufer, N. Agudelo-Dueñas, W. Jahr and A. Wartak for microscope maintenance and troubleshooting; C. Kreuzinger, A. Freeman and I. Erber for technical assistance; and M. Tomschik for support with obtaining human samples. We gratefully acknowledge E. Miguel for setting up webKnossos and M. Šuplata for computational support and hardware control. We are grateful to R. Shigemoto and B. Bickel for generous support and M. Sixt and S. Boyd (Stanford University) for discussions and critical reading of the paper. PSD95-HaloTag mice were kindly provided by S. Grant (University of Edinburgh). We acknowledge expert support by Institute of Science and Technology Austria’s scientific computing, imaging and optics, preclinical and lab support facilities and by the Miba machine shop and library. We gratefully acknowledge funding by the following sources: Austrian Science Fund (FWF) grant I3600-B27 (J.G.D.); Austrian Science Fund (FWF) grant DK W1232 (J.G.D. and J.M.M.); Austrian Science Fund (FWF) grant Z 312-B27, Wittgenstein award (P.J.); Austrian Science Fund (FWF) projects I4685-B, I6565-B (SYNABS) and DOC 33-B27 (R.H.); Gesellschaft für Forschungsförderung NÖ (NFB) grant LSC18-022 (J.G.D.); European Union’s Horizon 2020 research and innovation programme, European Research Council (ERC) grant 715508 – REVERSEAUTISM (G.N.); European Union’s Horizon 2020 research and innovation programme, European Research Council (ERC) grant 692692 – GIANTSYN (P.J.); Marie Skłodowska-Curie Actions Fellowship GA no. 665385 under the EU Horizon 2020 program (J.M.M. and J.L.); and Marie Skłodowska-Curie Actions Individual Fellowship no. 101026635 under the EU Horizon 2020 program (J.F.W.).","date_updated":"2026-04-14T08:34:35Z","corr_author":"1","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"first_name":"Julia M","full_name":"Michalska, Julia M","id":"443DB6DE-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-3862-1235","last_name":"Michalska"},{"id":"46E28B80-F248-11E8-B48F-1D18A9856A87","last_name":"Lyudchik","first_name":"Julia","full_name":"Lyudchik, Julia"},{"id":"39BDC62C-F248-11E8-B48F-1D18A9856A87","last_name":"Velicky","orcid":"0000-0002-2340-7431","full_name":"Velicky, Philipp","first_name":"Philipp"},{"full_name":"Korinkova, Hana","first_name":"Hana","last_name":"Korinkova","id":"ee3cb6ca-ec98-11ea-ae11-ff703e2254ed"},{"orcid":"0000-0002-8698-3823","last_name":"Watson","id":"63836096-4690-11EA-BD4E-32803DDC885E","full_name":"Watson, Jake","first_name":"Jake"},{"first_name":"Alban","full_name":"Cenameri, Alban","id":"9ac8f577-2357-11eb-997a-e566c5550886","last_name":"Cenameri"},{"id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","last_name":"Sommer","orcid":"0000-0003-1216-9105","full_name":"Sommer, Christoph M","first_name":"Christoph M"},{"orcid":"0000-0002-3183-8207","last_name":"Amberg","id":"4CD6AAC6-F248-11E8-B48F-1D18A9856A87","full_name":"Amberg, Nicole","first_name":"Nicole"},{"full_name":"Venturino, Alessandro","first_name":"Alessandro","orcid":"0000-0003-2356-9403","last_name":"Venturino","id":"41CB84B2-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Roessler, Karl","first_name":"Karl","last_name":"Roessler"},{"first_name":"Thomas","full_name":"Czech, Thomas","last_name":"Czech"},{"first_name":"Romana","full_name":"Höftberger, Romana","last_name":"Höftberger"},{"id":"36ACD32E-F248-11E8-B48F-1D18A9856A87","last_name":"Siegert","orcid":"0000-0001-8635-0877","full_name":"Siegert, Sandra","first_name":"Sandra"},{"id":"3E57A680-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7673-7178","last_name":"Novarino","first_name":"Gaia","full_name":"Novarino, Gaia"},{"first_name":"Peter M","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804","last_name":"Jonas","id":"353C1B58-F248-11E8-B48F-1D18A9856A87"},{"id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8559-3973","last_name":"Danzl","full_name":"Danzl, Johann G","first_name":"Johann G"}],"publication_identifier":{"issn":["1087-0156"],"eissn":["1546-1696"]},"oa_version":"Published Version","article_type":"original"},{"year":"2024","has_accepted_license":"1","ec_funded":1,"license":"https://creativecommons.org/licenses/by-nc-nd/4.0/","abstract":[{"text":"Mapping the complex and dense arrangement of cells and their connectivity in brain tissue requires volumetric imaging at nanoscale spatial resolution. While light microscopy excels at visualizing specific molecules and individual cells, achieving dense, synapse-level circuit reconstruction has not been possible with any light microscopy technique. Thus, the goal of my work was to develop image and data analysis pipelines for brain tissue visualization and reconstruction with light microscopy. To achieve dense circuit reconstruction with single-synapse resolution, I developed both conventional and deep-learning-based synapse detection algorithms, as well as connectivity analysis pipelines that integrate synapse detection with volumetric segmentation of brain tissue.","lang":"eng"}],"tmp":{"short":"CC BY-NC-ND (4.0)","image":"/images/cc_by_nc_nd.png","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)"},"title":"Image analysis for brain tissue reconstruction with super-resolution light microscopy","publisher":"Institute of Science and Technology Austria","OA_place":"publisher","doi":"10.15479/at:ista:18674","degree_awarded":"PhD","language":[{"iso":"eng"}],"month":"12","citation":{"short":"J. Lyudchik, Image Analysis for Brain Tissue Reconstruction with Super-Resolution Light Microscopy, Institute of Science and Technology Austria, 2024.","ista":"Lyudchik J. 2024. Image analysis for brain tissue reconstruction with super-resolution light microscopy. Institute of Science and Technology Austria.","chicago":"Lyudchik, Julia. “Image Analysis for Brain Tissue Reconstruction with Super-Resolution Light Microscopy.” Institute of Science and Technology Austria, 2024. <a href=\"https://doi.org/10.15479/at:ista:18674\">https://doi.org/10.15479/at:ista:18674</a>.","ama":"Lyudchik J. Image analysis for brain tissue reconstruction with super-resolution light microscopy. 2024. doi:<a href=\"https://doi.org/10.15479/at:ista:18674\">10.15479/at:ista:18674</a>","ieee":"J. Lyudchik, “Image analysis for brain tissue reconstruction with super-resolution light microscopy,” Institute of Science and Technology Austria, 2024.","mla":"Lyudchik, Julia. <i>Image Analysis for Brain Tissue Reconstruction with Super-Resolution Light Microscopy</i>. Institute of Science and Technology Austria, 2024, doi:<a href=\"https://doi.org/10.15479/at:ista:18674\">10.15479/at:ista:18674</a>.","apa":"Lyudchik, J. (2024). <i>Image analysis for brain tissue reconstruction with super-resolution light microscopy</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:18674\">https://doi.org/10.15479/at:ista:18674</a>"},"status":"public","project":[{"name":"International IST Doctoral Program","grant_number":"665385","call_identifier":"H2020","_id":"2564DBCA-B435-11E9-9278-68D0E5697425"}],"date_created":"2024-12-18T14:24:43Z","oa":1,"_id":"18674","article_processing_charge":"No","supervisor":[{"first_name":"Johann G","full_name":"Danzl, Johann G","last_name":"Danzl","orcid":"0000-0001-8559-3973","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87"}],"ddc":["004"],"date_updated":"2026-04-14T08:34:35Z","corr_author":"1","acknowledged_ssus":[{"_id":"Bio"}],"related_material":{"record":[{"id":"11160","status":"public","relation":"part_of_dissertation"},{"id":"18677","status":"public","relation":"part_of_dissertation"},{"id":"13267","status":"public","relation":"part_of_dissertation"},{"id":"14257","status":"public","relation":"part_of_dissertation"}]},"oa_version":"Published Version","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","author":[{"last_name":"Lyudchik","id":"46E28B80-F248-11E8-B48F-1D18A9856A87","full_name":"Lyudchik, Julia","first_name":"Julia"}],"publication_identifier":{"issn":["2663-337X"],"isbn":[" 978-3-99078-051-0"]},"file":[{"relation":"main_file","date_updated":"2024-12-18T14:17:34Z","date_created":"2024-12-18T14:17:34Z","success":1,"file_id":"18675","content_type":"application/pdf","checksum":"1b42b8073e2bc09fc504da52372248c1","creator":"jlyudchi","file_size":160536833,"access_level":"open_access","file_name":"18122024_PhDthesis_corrected_final_pdfa.pdf"},{"file_id":"18676","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","creator":"jlyudchi","checksum":"b4da84624060745519723698f7ddf54b","file_name":"18122024_PhDthesis_corrected_final_JL_markup.docx","access_level":"closed","file_size":99172203,"date_updated":"2024-12-18T14:41:53Z","relation":"source_file","date_created":"2024-12-18T14:21:06Z"}],"alternative_title":["ISTA Thesis"],"publication_status":"published","department":[{"_id":"GradSch"},{"_id":"JoDa"}],"type":"dissertation","page":"217","file_date_updated":"2024-12-18T14:41:53Z","day":"18","date_published":"2024-12-18T00:00:00Z"},{"type":"preprint","department":[{"_id":"EvBe"},{"_id":"JoDa"},{"_id":"JiFr"}],"day":"21","date_published":"2024-02-21T00:00:00Z","publication_status":"draft","main_file_link":[{"url":"https://doi.org/10.1101/2024.02.21.581330","open_access":"1"}],"oa_version":"Preprint","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"id":"35A03822-F248-11E8-B48F-1D18A9856A87","last_name":"Gallei","orcid":"0000-0003-1286-7368","first_name":"Michelle C","full_name":"Gallei, Michelle C"},{"id":"45812BD4-F248-11E8-B48F-1D18A9856A87","last_name":"Truckenbrodt","full_name":"Truckenbrodt, Sven M","first_name":"Sven M"},{"first_name":"Caroline","full_name":"Kreuzinger, Caroline","id":"382077BA-F248-11E8-B48F-1D18A9856A87","last_name":"Kreuzinger"},{"full_name":"Inumella, Syamala","first_name":"Syamala","orcid":"0009-0002-5890-120X","last_name":"Inumella","id":"F8660870-D756-11E9-98C5-34DFE5697425"},{"last_name":"Vistunou","id":"7e146587-8972-11ed-ae7b-d7a32ea86a81","full_name":"Vistunou, Vitali","first_name":"Vitali"},{"first_name":"Christoph M","full_name":"Sommer, Christoph M","last_name":"Sommer","orcid":"0000-0003-1216-9105","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Mojtaba","full_name":"Tavakoli, Mojtaba","id":"3A0A06F4-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7667-6854","last_name":"Tavakoli"},{"full_name":"Agudelo Duenas, Nathalie","first_name":"Nathalie","id":"40E7F008-F248-11E8-B48F-1D18A9856A87","last_name":"Agudelo Duenas"},{"id":"937696FA-C996-11E9-8C7C-CF13E6697425","last_name":"Vorlaufer","orcid":"0009-0000-7590-3501","full_name":"Vorlaufer, Jakob","first_name":"Jakob"},{"orcid":"0000-0003-0201-2315","last_name":"Jahr","id":"425C1CE8-F248-11E8-B48F-1D18A9856A87","first_name":"Wiebke","full_name":"Jahr, Wiebke"},{"id":"6ac4636d-15b2-11ec-abd3-fb8df79972ae","last_name":"Randuch","full_name":"Randuch, Marek","first_name":"Marek"},{"full_name":"Johnson, Alexander J","first_name":"Alexander J","last_name":"Johnson","orcid":"0000-0002-2739-8843","id":"46A62C3A-F248-11E8-B48F-1D18A9856A87"},{"id":"38F4F166-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-8510-9739","last_name":"Benková","full_name":"Benková, Eva","first_name":"Eva"},{"first_name":"Jiří","full_name":"Friml, Jiří","id":"4159519E-F248-11E8-B48F-1D18A9856A87","last_name":"Friml","orcid":"0000-0002-8302-7596"},{"first_name":"Johann G","full_name":"Danzl, Johann G","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8559-3973","last_name":"Danzl"}],"date_updated":"2026-07-28T08:33:52Z","acknowledgement":"We gratefully acknowledge support by the Scientific Service Units at ISTA, including the Imaging and Optics and Lab Support facilities and the mechanical workshop and Library. We thank Philipp Velicky for STED microscope alignment.\r\n\r\nThis project has received funding from the Austrian Science Fund (FWF): I 3630-B25 (J.G.D) and the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 742985, J.F.). It has also received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 665385. S.T. has received funding as an ISTplus Fellow from the European Union’s Horizon 2020 Research and Innovation Programme under Marie Skłodowska-Curie grant agreement no. 754411 and from an EMBO Long-Term Fellowship (grant number ALTF 679-2018). It has further received funding from the Austrian Science Fund (FWF) grant DK W1232 (M.T, N.A-D., J.G.D). W.J. received funding via a Human Frontier Science Program postdoctoral fellowship LT000557/2018.\r\n\r\nThe funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.","corr_author":"1","acknowledged_ssus":[{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"M-Shop"},{"_id":"E-Lib"}],"publication":"bioRxiv","related_material":{"record":[{"id":"19003","status":"public","relation":"later_version"},{"relation":"dissertation_contains","id":"18681","status":"public"}]},"oa":1,"article_processing_charge":"No","_id":"18689","OA_place":"repository","doi":"10.1101/2024.02.21.581330","language":[{"iso":"eng"}],"citation":{"short":"M.C. Gallei, S.M. Truckenbrodt, C. Kreuzinger, S. Inumella, V. Vistunou, C.M. Sommer, M. Tavakoli, N. Agudelo Duenas, J. Vorlaufer, W. Jahr, M. Randuch, A.J. Johnson, E. Benková, J. Friml, J.G. Danzl, BioRxiv (n.d.).","ista":"Gallei MC, Truckenbrodt SM, Kreuzinger C, Inumella S, Vistunou V, Sommer CM, Tavakoli M, Agudelo Duenas N, Vorlaufer J, Jahr W, Randuch M, Johnson AJ, Benková E, Friml J, Danzl JG. Super-resolution expansion microscopy in plant roots. bioRxiv, <a href=\"https://doi.org/10.1101/2024.02.21.581330\">10.1101/2024.02.21.581330</a>.","chicago":"Gallei, Michelle C, Sven M Truckenbrodt, Caroline Kreuzinger, Syamala Inumella, Vitali Vistunou, Christoph M Sommer, Mojtaba Tavakoli, et al. “Super-Resolution Expansion Microscopy in Plant Roots.” <i>BioRxiv</i>, n.d. <a href=\"https://doi.org/10.1101/2024.02.21.581330\">https://doi.org/10.1101/2024.02.21.581330</a>.","ieee":"M. C. Gallei <i>et al.</i>, “Super-resolution expansion microscopy in plant roots,” <i>bioRxiv</i>. .","mla":"Gallei, Michelle C., et al. “Super-Resolution Expansion Microscopy in Plant Roots.” <i>BioRxiv</i>, doi:<a href=\"https://doi.org/10.1101/2024.02.21.581330\">10.1101/2024.02.21.581330</a>.","ama":"Gallei MC, Truckenbrodt SM, Kreuzinger C, et al. Super-resolution expansion microscopy in plant roots. <i>bioRxiv</i>. doi:<a href=\"https://doi.org/10.1101/2024.02.21.581330\">10.1101/2024.02.21.581330</a>","apa":"Gallei, M. C., Truckenbrodt, S. M., Kreuzinger, C., Inumella, S., Vistunou, V., Sommer, C. M., … Danzl, J. G. (n.d.). Super-resolution expansion microscopy in plant roots. <i>bioRxiv</i>. <a href=\"https://doi.org/10.1101/2024.02.21.581330\">https://doi.org/10.1101/2024.02.21.581330</a>"},"month":"02","date_created":"2024-12-19T12:28:00Z","project":[{"name":"Tracing Evolution of Auxin Transport and Polarity in Plants","_id":"261099A6-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","grant_number":"742985"},{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","grant_number":"665385","name":"International IST Doctoral Program"},{"call_identifier":"H2020","grant_number":"754411","_id":"260C2330-B435-11E9-9278-68D0E5697425","name":"ISTplus - Postdoctoral Fellowships"},{"_id":"26AA4EF2-B435-11E9-9278-68D0E5697425","grant_number":"W1232-B24","call_identifier":"FWF","name":"Molecular Drug Targets"},{"name":"UltraX - achieving sub-nanometer resolution in light microscopy using iterative X10 microscopy in combination with nanobodies and STED","_id":"269B5B22-B435-11E9-9278-68D0E5697425","grant_number":"ALTF 679-2018"}],"status":"public","abstract":[{"text":"Multiplexed fluorescence microscopy imaging is widely used in biomedical applications. However, simultaneous imaging of multiple fluorophores can result in spectral leaks and overlapping, which greatly degrades image quality and subsequent analysis. Existing popular spectral unmixing methods are mainly based on computational intensive linear models and the performance is heavily dependent on the reference spectra, which may greatly preclude its further applications. In this paper, we propose a deep learning-based blindly spectral unmixing method, termed AutoUnmix, to imitate the physical spectral mixing process. A tranfer learning framework is further devised to allow our AutoUnmix adapting to a variety of imaging systems without retraining the network. Our proposed method has demonstrated real-time unmixing capabilities, surpassing existing methods by up to 100-fold in terms of unmixing speed. We further validate the reconstruction performance on both synthetic datasets and biological samples. The unmixing results of AutoUnmix achieve a highest SSIM of 0.99 in both three- and four-color imaging, with nearly up to 20% higher than other popular unmixing methods. Due to the desirable property of data independency and superior blind unmixing performance, we believe AutoUnmix is a powerful tool to study the interaction process of different organelles labeled by multiple fluorophores.","lang":"eng"}],"title":"Super-resolution expansion microscopy in plant roots","tmp":{"short":"CC BY-NC (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc/4.0/legalcode","image":"/images/cc_by_nc.png","name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)"},"year":"2024","ec_funded":1},{"oa_version":"Preprint","main_file_link":[{"url":"https://doi.org/10.1101/2024.05.02.592169","open_access":"1"}],"abstract":[{"lang":"eng","text":"The human brain has remarkable computational power. It generates sophisticated behavioral sequences, stores engrams over an individual’s lifetime, and produces higher cognitive functions up to the level of consciousness. However, so little of our neuroscience knowledge covers the human brain, and it remains unknown whether this organ is truly unique, or is a scaled version of the extensively studied rodent brain. To address this fundamental question, we determined the cellular, synaptic, and connectivity rules of the hippocampal CA3 recurrent circuit using multicellular patch clamp-recording. This circuit is the largest autoassociative network in the brain, and plays a key role in memory and higher-order computations such as pattern separation and pattern completion. We demonstrate that human hippocampal CA3 employs sparse connectivity, in stark contrast to neocortical recurrent networks. Connectivity sparsifies from rodents to humans, providing a circuit architecture that maximizes associational power. Unitary synaptic events at human CA3–CA3 synapses showed both distinct species-specific and circuit-dependent properties, with high reliability, unique amplitude precision, and long integration times. We also identify differential scaling rules between hippocampal pathways from rodents to humans, with a moderate increase in the convergence of CA3 inputs per cell, but a marked increase in human mossy fiber innervation. Anatomically guided full-scale modeling suggests that the human brain’s sparse connectivity, expanded neuronal number, and reliable synaptic signaling combine to enhance the associative memory storage capacity of CA3. Together, our results reveal unique rules of connectivity and synaptic signaling in the human hippocampus, demonstrating the absolute necessity of human brain research and beginning to unravel the remarkable performance of our autoassociative memory circuits."}],"title":"Human hippocampal CA3 uses specific functional connectivity rules for efficient associative memory","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"full_name":"Watson, Jake F.","first_name":"Jake F.","last_name":"Watson"},{"full_name":"Vargas-Barroso, Victor","first_name":"Victor","last_name":"Vargas-Barroso"},{"last_name":"Morse-Mora","full_name":"Morse-Mora, Rebecca J.","first_name":"Rebecca J."},{"last_name":"Navas-Olive","full_name":"Navas-Olive, Andrea","first_name":"Andrea"},{"full_name":"Tavakoli, Mojtaba","first_name":"Mojtaba","id":"3A0A06F4-F248-11E8-B48F-1D18A9856A87","last_name":"Tavakoli","orcid":"0000-0002-7667-6854"},{"first_name":"Johann G","full_name":"Danzl, Johann G","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8559-3973","last_name":"Danzl"},{"last_name":"Tomschik","full_name":"Tomschik, Matthias","first_name":"Matthias"},{"last_name":"Rössler","full_name":"Rössler, Karl","first_name":"Karl"},{"full_name":"Jonas, Peter M","first_name":"Peter M","last_name":"Jonas","orcid":"0000-0001-5001-4804","id":"353C1B58-F248-11E8-B48F-1D18A9856A87"}],"year":"2024","acknowledgement":"We thank Florian Marr for excellent technical assistance, Christina Altmutter and Julia Flor for technical support, Alois Schlögl for programming, Todor Asenov for development of the transportation box for human brain tissue, Tim Vogels for guidance on simulations, Marcus Huber for mathematical advice, and Eleftheria Kralli-Beller for manuscript editing. This research was supported by the Scientific Services Units (SSUs) of ISTA, and we are particularly grateful for assistance from Christoph Sommer and the Imaging and Optics Facility, Preclinical Facility, Life Science Facility, Miba Machine Shop, and Scientific Computing. We also acknowledge the excellent support of the Medical University of Vienna Department of Neurosurgery staff, Romana Hoeftberger and the Division of Neuropathology and Neurochemistry, and Gregor Kasprian and the Division of Neuroradiology and Musculoskeletal Radiology. The project received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Marie Skłodowska-Curie Actions Individual Fellowship no. 101026635 to J.F.W.), the Austrian Science Fund (FWF; grant PAT 4178023 to P.J.; grant DK W1232 to M.R.T. and J.G.D.) and the Austrian Academy of Sciences (DOC fellowship 26137 to M.R.T.).","ec_funded":1,"date_updated":"2026-07-28T08:33:51Z","corr_author":"1","publication":"bioRxiv","acknowledged_ssus":[{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"M-Shop"},{"_id":"PreCl"},{"_id":"ScienComp"}],"related_material":{"record":[{"relation":"later_version","status":"public","id":"18879"},{"status":"public","id":"18681","relation":"dissertation_contains"}]},"department":[{"_id":"JoDa"},{"_id":"PeJo"}],"type":"preprint","day":"02","oa":1,"_id":"18688","article_processing_charge":"No","date_published":"2024-05-02T00:00:00Z","doi":"10.1101/2024.05.02.592169","OA_place":"repository","language":[{"iso":"eng"}],"month":"05","citation":{"apa":"Watson, J. F., Vargas-Barroso, V., Morse-Mora, R. J., Navas-Olive, A., Tavakoli, M., Danzl, J. G., … Jonas, P. M. (n.d.). Human hippocampal CA3 uses specific functional connectivity rules for efficient associative memory. <i>bioRxiv</i>. <a href=\"https://doi.org/10.1101/2024.05.02.592169\">https://doi.org/10.1101/2024.05.02.592169</a>","ama":"Watson JF, Vargas-Barroso V, Morse-Mora RJ, et al. Human hippocampal CA3 uses specific functional connectivity rules for efficient associative memory. <i>bioRxiv</i>. doi:<a href=\"https://doi.org/10.1101/2024.05.02.592169\">10.1101/2024.05.02.592169</a>","ieee":"J. F. Watson <i>et al.</i>, “Human hippocampal CA3 uses specific functional connectivity rules for efficient associative memory,” <i>bioRxiv</i>. .","mla":"Watson, Jake F., et al. “Human Hippocampal CA3 Uses Specific Functional Connectivity Rules for Efficient Associative Memory.” <i>BioRxiv</i>, doi:<a href=\"https://doi.org/10.1101/2024.05.02.592169\">10.1101/2024.05.02.592169</a>.","chicago":"Watson, Jake F., Victor Vargas-Barroso, Rebecca J. Morse-Mora, Andrea Navas-Olive, Mojtaba Tavakoli, Johann G Danzl, Matthias Tomschik, Karl Rössler, and Peter M Jonas. “Human Hippocampal CA3 Uses Specific Functional Connectivity Rules for Efficient Associative Memory.” <i>BioRxiv</i>, n.d. <a href=\"https://doi.org/10.1101/2024.05.02.592169\">https://doi.org/10.1101/2024.05.02.592169</a>.","ista":"Watson JF, Vargas-Barroso V, Morse-Mora RJ, Navas-Olive A, Tavakoli M, Danzl JG, Tomschik M, Rössler K, Jonas PM. Human hippocampal CA3 uses specific functional connectivity rules for efficient associative memory. bioRxiv, <a href=\"https://doi.org/10.1101/2024.05.02.592169\">10.1101/2024.05.02.592169</a>.","short":"J.F. Watson, V. Vargas-Barroso, R.J. Morse-Mora, A. Navas-Olive, M. Tavakoli, J.G. Danzl, M. Tomschik, K. Rössler, P.M. Jonas, BioRxiv (n.d.)."},"status":"public","date_created":"2024-12-19T11:35:08Z","project":[{"call_identifier":"H2020","grant_number":"101026635","_id":"fc2be41b-9c52-11eb-aca3-faa90aa144e9","name":"Synaptic computations of the hippocampal CA3 circuitry"},{"grant_number":"W1232-B24","call_identifier":"FWF","_id":"26AA4EF2-B435-11E9-9278-68D0E5697425","name":"Molecular Drug Targets"},{"name":"Studying Organelle Structure and Function at Nanoscale Resolution with Expansion Microscopy","grant_number":"26137","_id":"6285a163-2b32-11ec-9570-8e204ca2dba5"}],"publication_status":"draft"},{"degree_awarded":"PhD","language":[{"iso":"eng"}],"doi":"10.15479/at:ista:18681","OA_place":"publisher","das_tickbox":"1","status":"public","project":[{"grant_number":"26137","_id":"6285a163-2b32-11ec-9570-8e204ca2dba5","name":"Studying Organelle Structure and Function at Nanoscale Resolution with Expansion Microscopy"},{"name":"Molecular Drug Targets","_id":"26AA4EF2-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","grant_number":"W1232-B24"}],"date_created":"2024-12-19T02:30:39Z","month":"12","citation":{"chicago":"Tavakoli, Mojtaba. “Developing Molecular and Structural Tools for Studying Brain Architecture with Super Resolution Expansion Microscopy. LICONN: Molecularly-Informed Connectomics Reconstruction with Light Microscopy.” Institute of Science and Technology Austria, 2024. <a href=\"https://doi.org/10.15479/at:ista:18681\">https://doi.org/10.15479/at:ista:18681</a>.","ista":"Tavakoli M. 2024. Developing molecular and structural tools for studying brain architecture with super resolution expansion microscopy. LICONN: Molecularly-informed connectomics reconstruction with light microscopy. Institute of Science and Technology Austria.","short":"M. Tavakoli, Developing Molecular and Structural Tools for Studying Brain Architecture with Super Resolution Expansion Microscopy. LICONN: Molecularly-Informed Connectomics Reconstruction with Light Microscopy, Institute of Science and Technology Austria, 2024.","apa":"Tavakoli, M. (2024). <i>Developing molecular and structural tools for studying brain architecture with super resolution expansion microscopy. LICONN: Molecularly-informed connectomics reconstruction with light microscopy</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:18681\">https://doi.org/10.15479/at:ista:18681</a>","mla":"Tavakoli, Mojtaba. <i>Developing Molecular and Structural Tools for Studying Brain Architecture with Super Resolution Expansion Microscopy. LICONN: Molecularly-Informed Connectomics Reconstruction with Light Microscopy</i>. Institute of Science and Technology Austria, 2024, doi:<a href=\"https://doi.org/10.15479/at:ista:18681\">10.15479/at:ista:18681</a>.","ieee":"M. Tavakoli, “Developing molecular and structural tools for studying brain architecture with super resolution expansion microscopy. LICONN: Molecularly-informed connectomics reconstruction with light microscopy,” Institute of Science and Technology Austria, 2024.","ama":"Tavakoli M. Developing molecular and structural tools for studying brain architecture with super resolution expansion microscopy. LICONN: Molecularly-informed connectomics reconstruction with light microscopy. 2024. doi:<a href=\"https://doi.org/10.15479/at:ista:18681\">10.15479/at:ista:18681</a>"},"supervisor":[{"full_name":"Danzl, Johann G","first_name":"Johann G","last_name":"Danzl","orcid":"0000-0001-8559-3973","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87"}],"ddc":["600","570"],"article_processing_charge":"No","_id":"18681","year":"2024","has_accepted_license":"1","OA_embargo":"20","publisher":"Institute of Science and Technology Austria","tmp":{"short":"CC BY-NC-ND (4.0)","image":"/images/cc_by_nc_nd.png","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)"},"title":"Developing molecular and structural tools for studying brain architecture with super resolution expansion microscopy. LICONN: Molecularly-informed connectomics reconstruction with light microscopy","publication_status":"published","file":[{"date_created":"2024-12-20T10:23:17Z","relation":"source_file","date_updated":"2024-12-20T10:31:37Z","access_level":"closed","file_size":118593521,"file_name":"Thesis_Mojtaba Tavakoli_.docx","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","file_id":"18699","checksum":"b61651d417cafddd740a8528f46068c5","creator":"mtavakol"},{"date_created":"2024-12-20T10:25:12Z","date_updated":"2026-07-28T08:33:51Z","relation":"main_file","embargo_to":"open_access","file_name":"Thesis_Mojtaba Tavakoli_.pdf","file_size":63885521,"access_level":"closed","creator":"mtavakol","checksum":"c80bcfd1a34c23afc3538052325283e5","embargo":"2027-08-01","file_id":"18700","content_type":"application/pdf"}],"alternative_title":["ISTA Thesis"],"file_date_updated":"2026-07-28T08:33:51Z","day":"20","department":[{"_id":"GradSch"},{"_id":"JoDa"}],"page":"230","type":"dissertation","date_published":"2024-12-20T00:00:00Z","corr_author":"1","date_updated":"2026-07-28T08:33:52Z","related_material":{"record":[{"relation":"part_of_dissertation","status":"public","id":"11160"},{"id":"18688","status":"public","relation":"part_of_dissertation"},{"relation":"part_of_dissertation","id":"18677","status":"public"},{"relation":"part_of_dissertation","status":"public","id":"18689"}]},"acknowledged_ssus":[{"_id":"Bio"},{"_id":"PreCl"},{"_id":"LifeSc"}],"oa_version":"Published Version","doi_confirm":"1","publication_identifier":{"issn":["2663-337X"],"isbn":["978-3-99078-048-0"]},"author":[{"full_name":"Tavakoli, Mojtaba","first_name":"Mojtaba","last_name":"Tavakoli","orcid":"0000-0002-7667-6854","id":"3A0A06F4-F248-11E8-B48F-1D18A9856A87"}],"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9"},{"language":[{"iso":"eng"}],"doi":"10.1101/2024.03.01.582884","OA_place":"repository","project":[{"grant_number":"26137","_id":"6285a163-2b32-11ec-9570-8e204ca2dba5","name":"Studying Organelle Structure and Function at Nanoscale Resolution with Expansion Microscopy"},{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385","call_identifier":"H2020","name":"International IST Doctoral Program"},{"name":"Toward an understanding of the brain interstitial system and the extracellular proteome in health and autism spectrum disorders","grant_number":"101044865","_id":"34ba8964-11ca-11ed-8bc3-e15864e7e9a6"},{"grant_number":"W1232-B24","call_identifier":"FWF","_id":"26AA4EF2-B435-11E9-9278-68D0E5697425","name":"Molecular Drug Targets"}],"date_created":"2024-12-18T14:48:24Z","status":"public","citation":{"ista":"Tavakoli M, Lyudchik J, Januszewski M, Vistunou V, Agudelo Duenas N, Vorlaufer J, Sommer CM, Kreuzinger C, Oliveira B, Cenameri A, Novarino G, Jain V, Danzl JG. Light-microscopy based dense connectomic reconstruction of mammalian brain tissue. bioRxiv, <a href=\"https://doi.org/10.1101/2024.03.01.582884\">10.1101/2024.03.01.582884</a>.","chicago":"Tavakoli, Mojtaba, Julia Lyudchik, Michał Januszewski, Vitali Vistunou, Nathalie Agudelo Duenas, Jakob Vorlaufer, Christoph M Sommer, et al. “Light-Microscopy Based Dense Connectomic Reconstruction of Mammalian Brain Tissue.” <i>BioRxiv</i>, n.d. <a href=\"https://doi.org/10.1101/2024.03.01.582884\">https://doi.org/10.1101/2024.03.01.582884</a>.","short":"M. Tavakoli, J. Lyudchik, M. Januszewski, V. Vistunou, N. Agudelo Duenas, J. Vorlaufer, C.M. Sommer, C. Kreuzinger, B. Oliveira, A. Cenameri, G. Novarino, V. Jain, J.G. Danzl, BioRxiv (n.d.).","apa":"Tavakoli, M., Lyudchik, J., Januszewski, M., Vistunou, V., Agudelo Duenas, N., Vorlaufer, J., … Danzl, J. G. (n.d.). Light-microscopy based dense connectomic reconstruction of mammalian brain tissue. <i>bioRxiv</i>. <a href=\"https://doi.org/10.1101/2024.03.01.582884\">https://doi.org/10.1101/2024.03.01.582884</a>","ama":"Tavakoli M, Lyudchik J, Januszewski M, et al. Light-microscopy based dense connectomic reconstruction of mammalian brain tissue. <i>bioRxiv</i>. doi:<a href=\"https://doi.org/10.1101/2024.03.01.582884\">10.1101/2024.03.01.582884</a>","mla":"Tavakoli, Mojtaba, et al. “Light-Microscopy Based Dense Connectomic Reconstruction of Mammalian Brain Tissue.” <i>BioRxiv</i>, doi:<a href=\"https://doi.org/10.1101/2024.03.01.582884\">10.1101/2024.03.01.582884</a>.","ieee":"M. Tavakoli <i>et al.</i>, “Light-microscopy based dense connectomic reconstruction of mammalian brain tissue,” <i>bioRxiv</i>. ."},"month":"07","oa":1,"article_processing_charge":"No","_id":"18677","year":"2024","ec_funded":1,"abstract":[{"text":"The information-processing capability of the brain’s cellular network depends on the physical wiring pattern between neurons and their molecular and functional characteristics. Mapping neurons and resolving their individual synaptic connections can be achieved by volumetric imaging at nanoscale resolution with dense cellular labeling. Light microscopy is uniquely positioned to visualize specific molecules but dense, synapse-level circuit reconstruction by light microscopy has been out of reach due to limitations in resolution, contrast, and volumetric imaging capability. Here we developed light-microscopy based connectomics (LICONN). We integrated specifically engineered hydrogel embedding and expansion with comprehensive deep-learning based segmentation and analysis of connectivity, thus directly incorporating molecular information in synapse-level brain tissue reconstructions. LICONN will allow synapse-level brain tissue phenotyping in biological experiments in a readily adoptable manner.","lang":"eng"}],"tmp":{"short":"CC BY-NC-ND (4.0)","image":"/images/cc_by_nc_nd.png","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)"},"title":"Light-microscopy based dense connectomic reconstruction of mammalian brain tissue","publication_status":"draft","day":"08","type":"preprint","department":[{"_id":"GaNo"},{"_id":"JoDa"}],"date_published":"2024-07-08T00:00:00Z","corr_author":"1","date_updated":"2026-07-28T08:33:51Z","acknowledgement":"We thank Sven Dorkenwald and Peter Li for critical reading of the\r\nmanuscript. We acknowledge expert support by ISTA’s scientific service units: Imaging and\r\nOptics, Lab Support, Scientific Computing, Preclinical Facility, Miba Machine Shop, and Library.\r\nWe gratefully acknowledge funding by the following sources:\r\nAustrian Science Fund (FWF) grant DK W1232 (JGD, MRT)\r\nAustrian Academy of Sciences DOC fellowship 26137 (MRT)\r\nEU Horizon 2020 program, Marie Skłodowska-Curie Actions Fellowship 665385 (JL)\r\nGesellschaft für Forschungsförderung NÖ (NFB) grant LSC18-022 (JGD)\r\nEuropean Union’s Horizon 2020 research and innovation programme, European Research\r\nCouncil (ERC) grant 101044865 “SecretAutism.”\r\n","related_material":{"record":[{"relation":"dissertation_contains","id":"18674","status":"public"},{"relation":"later_version","status":"public","id":"19704"},{"relation":"dissertation_contains","status":"public","id":"18681"}]},"acknowledged_ssus":[{"_id":"E-Lib"},{"_id":"M-Shop"},{"_id":"LifeSc"},{"_id":"Bio"},{"_id":"ScienComp"}],"publication":"bioRxiv","oa_version":"Preprint","main_file_link":[{"url":"https://doi.org/10.1101/2024.03.01.582884","open_access":"1"}],"author":[{"orcid":"0000-0002-7667-6854","last_name":"Tavakoli","id":"3A0A06F4-F248-11E8-B48F-1D18A9856A87","first_name":"Mojtaba","full_name":"Tavakoli, Mojtaba"},{"first_name":"Julia","full_name":"Lyudchik, Julia","id":"46E28B80-F248-11E8-B48F-1D18A9856A87","last_name":"Lyudchik"},{"first_name":"Michał","full_name":"Januszewski, Michał","last_name":"Januszewski"},{"last_name":"Vistunou","id":"7e146587-8972-11ed-ae7b-d7a32ea86a81","full_name":"Vistunou, Vitali","first_name":"Vitali"},{"last_name":"Agudelo Duenas","id":"40E7F008-F248-11E8-B48F-1D18A9856A87","first_name":"Nathalie","full_name":"Agudelo Duenas, Nathalie"},{"last_name":"Vorlaufer","orcid":"0009-0000-7590-3501","id":"937696FA-C996-11E9-8C7C-CF13E6697425","first_name":"Jakob","full_name":"Vorlaufer, Jakob"},{"last_name":"Sommer","orcid":"0000-0003-1216-9105","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","full_name":"Sommer, Christoph M","first_name":"Christoph M"},{"id":"382077BA-F248-11E8-B48F-1D18A9856A87","last_name":"Kreuzinger","first_name":"Caroline","full_name":"Kreuzinger, Caroline"},{"id":"3B03AA1A-F248-11E8-B48F-1D18A9856A87","last_name":"Oliveira","first_name":"Bárbara","full_name":"Oliveira, Bárbara"},{"full_name":"Cenameri, Alban","first_name":"Alban","id":"9ac8f577-2357-11eb-997a-e566c5550886","last_name":"Cenameri"},{"id":"3E57A680-F248-11E8-B48F-1D18A9856A87","last_name":"Novarino","orcid":"0000-0002-7673-7178","first_name":"Gaia","full_name":"Novarino, Gaia"},{"last_name":"Jain","full_name":"Jain, Viren","first_name":"Viren"},{"id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","last_name":"Danzl","orcid":"0000-0001-8559-3973","first_name":"Johann G","full_name":"Danzl, Johann G"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87"},{"month":"10","citation":{"apa":"Agudelo Duenas, N. (2024). <i>Visualizing the neuronal transcriptional landscape with tissue context</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:18471\">https://doi.org/10.15479/at:ista:18471</a>","ieee":"N. Agudelo Duenas, “Visualizing the neuronal transcriptional landscape with tissue context,” Institute of Science and Technology Austria, 2024.","mla":"Agudelo Duenas, Nathalie. <i>Visualizing the Neuronal Transcriptional Landscape with Tissue Context</i>. Institute of Science and Technology Austria, 2024, doi:<a href=\"https://doi.org/10.15479/at:ista:18471\">10.15479/at:ista:18471</a>.","ama":"Agudelo Duenas N. Visualizing the neuronal transcriptional landscape with tissue context. 2024. doi:<a href=\"https://doi.org/10.15479/at:ista:18471\">10.15479/at:ista:18471</a>","chicago":"Agudelo Duenas, Nathalie. “Visualizing the Neuronal Transcriptional Landscape with Tissue Context.” Institute of Science and Technology Austria, 2024. <a href=\"https://doi.org/10.15479/at:ista:18471\">https://doi.org/10.15479/at:ista:18471</a>.","ista":"Agudelo Duenas N. 2024. Visualizing the neuronal transcriptional landscape with tissue context. Institute of Science and Technology Austria.","short":"N. Agudelo Duenas, Visualizing the Neuronal Transcriptional Landscape with Tissue Context, Institute of Science and Technology Austria, 2024."},"status":"public","project":[{"name":"International IST Doctoral Program","grant_number":"665385","call_identifier":"H2020","_id":"2564DBCA-B435-11E9-9278-68D0E5697425"},{"name":"Molecular Drug Targets","call_identifier":"FWF","grant_number":"W1232","_id":"2548AE96-B435-11E9-9278-68D0E5697425"}],"date_created":"2024-10-26T20:02:42Z","doi":"10.15479/at:ista:18471","OA_place":"publisher","degree_awarded":"PhD","language":[{"iso":"eng"}],"article_processing_charge":"No","_id":"18471","supervisor":[{"id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8559-3973","last_name":"Danzl","full_name":"Danzl, Johann G","first_name":"Johann G"}],"ddc":["570"],"oa":1,"ec_funded":1,"has_accepted_license":"1","year":"2024","title":"Visualizing the neuronal transcriptional landscape with tissue context","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)"},"publisher":"Institute of Science and Technology Austria","abstract":[{"text":"Spatial omics technologies are enriching our understanding of complex biological samples, by\r\nallowing us to study their molecular composition while preserving the spatial relationships\r\nbetween molecules in their native context. As the field continues to advance, there are\r\ntechnical challenges that need to be addressed in order to take full advantage of the spatial\r\ncapabilities of these methods. In this work, I present two technical developments that I\r\nestablished for multiplexed error robust FISH (MERFISH) throughout my PhD: (1) pushing the\r\nspatial resolution limits to the nanoscale, and (2) adding rich tissue context to the mouse brain\r\ntranscriptome. To achieve nanoscale resolution with MERFISH in cultured cells, I combined it\r\nwith stimulated emission depletion (STED) and expansion microscopy (ExM) to achieve a\r\nspatial resolution as low as ~20 nm, and explored the compatibility of MERFISH with singlemolecule localization microscopy (SMLM) techniques. To visualize targeted mRNAs in mouse\r\nbrain tissue, I applied the comprehensive analysis of tissues across scales (CATS) toolbox, which\r\nprovides an unbiased morphological readout by labeling the extracellular domain. I\r\nsuccessfully established this method, which we call CATS-MERFISH-ExM, to work with thick\r\nmouse brain slices, being able to extract transcriptomics information with 3D tissue context.\r\nCATS-MERFISH-ExM enabled us to identify cell types and further visualize the subcellular\r\ndistribution of transcripts in mouse brain tissue, shedding light on the neuropil-specific\r\ntranscriptome. This method provides integrated information on cellular structure and\r\ntranscriptomes in situ, and could potentially be applied with other modalities, opening new\r\navenues for scientific discovery. ","lang":"eng"}],"file":[{"file_id":"18475","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","checksum":"6d7c7725d040d8debc070dcb35ac965d","creator":"nagudelo","file_name":"PhD_thesis_Nathalie_Agudelo_Duenas_ISTA_final.docx","file_size":183077763,"access_level":"closed","embargo_to":"open_access","date_updated":"2025-05-05T22:30:04Z","relation":"source_file","date_created":"2024-10-26T22:29:06Z"},{"date_created":"2024-10-26T23:13:33Z","relation":"main_file","date_updated":"2025-05-05T22:30:04Z","access_level":"open_access","file_size":47027710,"file_name":"PhD_thesis_Nathalie_Agudelo_Duenas_ISTA_final.pdf","checksum":"52f9c0bf2bdafa3baf827b73814a53ff","creator":"nagudelo","embargo":"2025-05-05","content_type":"application/pdf","file_id":"18476"}],"alternative_title":["ISTA Thesis"],"publication_status":"published","date_published":"2024-10-28T00:00:00Z","department":[{"_id":"GradSch"},{"_id":"JoDa"}],"page":"97","type":"dissertation","file_date_updated":"2025-05-05T22:30:04Z","day":"28","acknowledged_ssus":[{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"PreCl"},{"_id":"M-Shop"},{"_id":"ScienComp"}],"date_updated":"2026-04-14T08:34:37Z","corr_author":"1","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","publication_identifier":{"issn":["2663-337X"],"isbn":["978-3-99078-044-2"]},"author":[{"first_name":"Nathalie","full_name":"Agudelo Duenas, Nathalie","last_name":"Agudelo Duenas","id":"40E7F008-F248-11E8-B48F-1D18A9856A87"}],"oa_version":"Published Version"},{"citation":{"short":"J. Glajzer, D.C. Castillo-Tong, R. Richter, I. Vergote, H. Kulbe, A. Vanderstichele, I. Ruscito, F. Trillsch, A. Mustea, C. Kreuzinger, C. Gourley, H. Gabra, E.T. Taube, O. Dorigo, D. Horst, C. Keunecke, J. Baum, T. Angelotti, J. Sehouli, E.I. Braicu, Annals of Surgical Oncology 30 (2023) 46–47.","ista":"Glajzer J, Castillo-Tong DC, Richter R, Vergote I, Kulbe H, Vanderstichele A, Ruscito I, Trillsch F, Mustea A, Kreuzinger C, Gourley C, Gabra H, Taube ET, Dorigo O, Horst D, Keunecke C, Baum J, Angelotti T, Sehouli J, Braicu EI. 2023. ASO Visual Abstract: Impact of BRCA mutation status on tumor dissemination pattern, surgical outcome, and patient survival in primary and recurrent high-grade serous ovarian cancer (HGSOC). A multicenter, retrospective study of the ovarian cancer therapy—innovative models prolong survival (OCTIPS) consortium. Annals of Surgical Oncology. 30, 46–47.","chicago":"Glajzer, Jacek, Dan Cacsire Castillo-Tong, Rolf Richter, Ignace Vergote, Hagen Kulbe, Adriaan Vanderstichele, Ilary Ruscito, et al. “ASO Visual Abstract: Impact of BRCA Mutation Status on Tumor Dissemination Pattern, Surgical Outcome, and Patient Survival in Primary and Recurrent High-Grade Serous Ovarian Cancer (HGSOC). A Multicenter, Retrospective Study of the Ovarian Cancer Therapy—Innovative Models Prolong Survival (OCTIPS) Consortium.” <i>Annals of Surgical Oncology</i>. Springer Nature, 2023. <a href=\"https://doi.org/10.1245/s10434-022-12681-z\">https://doi.org/10.1245/s10434-022-12681-z</a>.","mla":"Glajzer, Jacek, et al. “ASO Visual Abstract: Impact of BRCA Mutation Status on Tumor Dissemination Pattern, Surgical Outcome, and Patient Survival in Primary and Recurrent High-Grade Serous Ovarian Cancer (HGSOC). A Multicenter, Retrospective Study of the Ovarian Cancer Therapy—Innovative Models Prolong Survival (OCTIPS) Consortium.” <i>Annals of Surgical Oncology</i>, vol. 30, Springer Nature, 2023, pp. 46–47, doi:<a href=\"https://doi.org/10.1245/s10434-022-12681-z\">10.1245/s10434-022-12681-z</a>.","ieee":"J. Glajzer <i>et al.</i>, “ASO Visual Abstract: Impact of BRCA mutation status on tumor dissemination pattern, surgical outcome, and patient survival in primary and recurrent high-grade serous ovarian cancer (HGSOC). A multicenter, retrospective study of the ovarian cancer therapy—innovative models prolong survival (OCTIPS) consortium,” <i>Annals of Surgical Oncology</i>, vol. 30. Springer Nature, pp. 46–47, 2023.","ama":"Glajzer J, Castillo-Tong DC, Richter R, et al. ASO Visual Abstract: Impact of BRCA mutation status on tumor dissemination pattern, surgical outcome, and patient survival in primary and recurrent high-grade serous ovarian cancer (HGSOC). A multicenter, retrospective study of the ovarian cancer therapy—innovative models prolong survival (OCTIPS) consortium. <i>Annals of Surgical Oncology</i>. 2023;30:46-47. doi:<a href=\"https://doi.org/10.1245/s10434-022-12681-z\">10.1245/s10434-022-12681-z</a>","apa":"Glajzer, J., Castillo-Tong, D. C., Richter, R., Vergote, I., Kulbe, H., Vanderstichele, A., … Braicu, E. I. (2023). ASO Visual Abstract: Impact of BRCA mutation status on tumor dissemination pattern, surgical outcome, and patient survival in primary and recurrent high-grade serous ovarian cancer (HGSOC). A multicenter, retrospective study of the ovarian cancer therapy—innovative models prolong survival (OCTIPS) consortium. <i>Annals of Surgical Oncology</i>. Springer Nature. <a href=\"https://doi.org/10.1245/s10434-022-12681-z\">https://doi.org/10.1245/s10434-022-12681-z</a>"},"month":"01","date_created":"2023-01-12T11:56:22Z","status":"public","doi":"10.1245/s10434-022-12681-z","language":[{"iso":"eng"}],"volume":30,"article_processing_charge":"No","_id":"12115","quality_controlled":"1","ddc":["570"],"external_id":{"isi":["000879151800001"]},"oa":1,"scopus_import":"1","year":"2023","title":"ASO Visual Abstract: Impact of BRCA mutation status on tumor dissemination pattern, surgical outcome, and patient survival in primary and recurrent high-grade serous ovarian cancer (HGSOC). A multicenter, retrospective study of the ovarian cancer therapy—innovative models prolong survival (OCTIPS) consortium","publisher":"Springer Nature","keyword":["Oncology","Surgery"],"intvolume":"        30","publication_status":"published","date_published":"2023-01-01T00:00:00Z","page":"46-47","type":"journal_article","isi":1,"department":[{"_id":"JoDa"}],"day":"01","publication":"Annals of Surgical Oncology","related_material":{"record":[{"relation":"other","status":"public","id":"12205"}]},"date_updated":"2026-06-18T17:21:25Z","acknowledgement":"This work was supported by European Commission’s Seventh Framework Programme under Grant Agreement No. 279113 (OCTIPS; www.octips.eu).","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"first_name":"Jacek","full_name":"Glajzer, Jacek","last_name":"Glajzer"},{"last_name":"Castillo-Tong","full_name":"Castillo-Tong, Dan Cacsire","first_name":"Dan Cacsire"},{"full_name":"Richter, Rolf","first_name":"Rolf","last_name":"Richter"},{"first_name":"Ignace","full_name":"Vergote, Ignace","last_name":"Vergote"},{"last_name":"Kulbe","full_name":"Kulbe, Hagen","first_name":"Hagen"},{"full_name":"Vanderstichele, Adriaan","first_name":"Adriaan","last_name":"Vanderstichele"},{"last_name":"Ruscito","first_name":"Ilary","full_name":"Ruscito, Ilary"},{"first_name":"Fabian","full_name":"Trillsch, Fabian","last_name":"Trillsch"},{"first_name":"Alexander","full_name":"Mustea, Alexander","last_name":"Mustea"},{"first_name":"Caroline","full_name":"Kreuzinger, Caroline","id":"382077BA-F248-11E8-B48F-1D18A9856A87","last_name":"Kreuzinger"},{"first_name":"Charlie","full_name":"Gourley, Charlie","last_name":"Gourley"},{"first_name":"Hani","full_name":"Gabra, Hani","last_name":"Gabra"},{"first_name":"Eliane T.","full_name":"Taube, Eliane T.","last_name":"Taube"},{"first_name":"Oliver","full_name":"Dorigo, Oliver","last_name":"Dorigo"},{"first_name":"David","full_name":"Horst, David","last_name":"Horst"},{"last_name":"Keunecke","first_name":"Carlotta","full_name":"Keunecke, Carlotta"},{"full_name":"Baum, Joanna","first_name":"Joanna","last_name":"Baum"},{"last_name":"Angelotti","first_name":"Timothy","full_name":"Angelotti, Timothy"},{"first_name":"Jalid","full_name":"Sehouli, Jalid","last_name":"Sehouli"},{"full_name":"Braicu, Elena Ioana","first_name":"Elena Ioana","last_name":"Braicu"}],"publication_identifier":{"issn":["1068-9265"],"eissn":["1534-4681"]},"oa_version":"Published Version","main_file_link":[{"url":"https://doi.org/10.1245/s10434-022-12681-z","open_access":"1"}],"article_type":"original"},{"volume":30,"language":[{"iso":"eng"}],"doi":"10.1245/s10434-022-12459-3","status":"public","date_created":"2023-01-16T09:44:36Z","month":"01","citation":{"mla":"Glajzer, Jacek, et al. “Impact of BRCA Mutation Status on Tumor Dissemination Pattern, Surgical Outcome and Patient Survival in Primary and Recurrent High-Grade Serous Ovarian Cancer: A Multicenter Retrospective Study by the Ovarian Cancer Therapy-Innovative Models Prolong Survival (OCTIPS) Consortium.” <i>Annals of Surgical Oncology</i>, vol. 30, Springer Nature, 2023, pp. 35–45, doi:<a href=\"https://doi.org/10.1245/s10434-022-12459-3\">10.1245/s10434-022-12459-3</a>.","ieee":"J. Glajzer <i>et al.</i>, “Impact of BRCA mutation status on tumor dissemination pattern, surgical outcome and patient survival in primary and recurrent high-grade serous ovarian cancer: A multicenter retrospective study by the Ovarian Cancer Therapy-Innovative Models Prolong Survival (OCTIPS) consortium,” <i>Annals of Surgical Oncology</i>, vol. 30. Springer Nature, pp. 35–45, 2023.","ama":"Glajzer J, Castillo-Tong DC, Richter R, et al. Impact of BRCA mutation status on tumor dissemination pattern, surgical outcome and patient survival in primary and recurrent high-grade serous ovarian cancer: A multicenter retrospective study by the Ovarian Cancer Therapy-Innovative Models Prolong Survival (OCTIPS) consortium. <i>Annals of Surgical Oncology</i>. 2023;30:35-45. doi:<a href=\"https://doi.org/10.1245/s10434-022-12459-3\">10.1245/s10434-022-12459-3</a>","apa":"Glajzer, J., Castillo-Tong, D. C., Richter, R., Vergote, I., Kulbe, H., Vanderstichele, A., … Braicu, E. I. (2023). Impact of BRCA mutation status on tumor dissemination pattern, surgical outcome and patient survival in primary and recurrent high-grade serous ovarian cancer: A multicenter retrospective study by the Ovarian Cancer Therapy-Innovative Models Prolong Survival (OCTIPS) consortium. <i>Annals of Surgical Oncology</i>. Springer Nature. <a href=\"https://doi.org/10.1245/s10434-022-12459-3\">https://doi.org/10.1245/s10434-022-12459-3</a>","short":"J. Glajzer, D.C. Castillo-Tong, R. Richter, I. Vergote, H. Kulbe, A. Vanderstichele, I. Ruscito, F. Trillsch, A. Mustea, C. Kreuzinger, C. Gourley, H. Gabra, E.T. Taube, O. Dorigo, D. Horst, C. Keunecke, J. Baum, T. Angelotti, J. Sehouli, E.I. Braicu, Annals of Surgical Oncology 30 (2023) 35–45.","chicago":"Glajzer, Jacek, Dan Cacsire Castillo-Tong, Rolf Richter, Ignace Vergote, Hagen Kulbe, Adriaan Vanderstichele, Ilary Ruscito, et al. “Impact of BRCA Mutation Status on Tumor Dissemination Pattern, Surgical Outcome and Patient Survival in Primary and Recurrent High-Grade Serous Ovarian Cancer: A Multicenter Retrospective Study by the Ovarian Cancer Therapy-Innovative Models Prolong Survival (OCTIPS) Consortium.” <i>Annals of Surgical Oncology</i>. Springer Nature, 2023. <a href=\"https://doi.org/10.1245/s10434-022-12459-3\">https://doi.org/10.1245/s10434-022-12459-3</a>.","ista":"Glajzer J, Castillo-Tong DC, Richter R, Vergote I, Kulbe H, Vanderstichele A, Ruscito I, Trillsch F, Mustea A, Kreuzinger C, Gourley C, Gabra H, Taube ET, Dorigo O, Horst D, Keunecke C, Baum J, Angelotti T, Sehouli J, Braicu EI. 2023. Impact of BRCA mutation status on tumor dissemination pattern, surgical outcome and patient survival in primary and recurrent high-grade serous ovarian cancer: A multicenter retrospective study by the Ovarian Cancer Therapy-Innovative Models Prolong Survival (OCTIPS) consortium. Annals of Surgical Oncology. 30, 35–45."},"oa":1,"external_id":{"pmid":["36085390"],"isi":["000852125500006"]},"ddc":["610"],"_id":"12205","quality_controlled":"1","article_processing_charge":"No","year":"2023","has_accepted_license":"1","scopus_import":"1","pmid":1,"abstract":[{"text":"Background: This study seeks to evaluate the impact of breast cancer (BRCA) gene status on tumor dissemination pattern, surgical outcome and survival in a multicenter cohort of paired primary ovarian cancer (pOC) and recurrent ovarian cancer (rOC).\r\n\r\nPatients and Methods: Medical records and follow-up data from 190 patients were gathered retrospectively. All patients had surgery at pOC and at least one further rOC surgery at four European high-volume centers. Patients were divided into one cohort with confirmed mutation for BRCA1 and/or BRCA2 (BRCAmut) and a second cohort with BRCA wild type or unknown (BRCAwt). Patterns of tumor presentation, surgical outcome and survival data were analyzed between the two groups.\r\n\r\nResults: Patients with BRCAmut disease were on average 4 years younger and had significantly more tumor involvement upon diagnosis. Patients with BRCAmut disease showed higher debulking rates at all stages. Multivariate analysis showed that only patient age had significant predictive value for complete tumor resection in pOC. At rOC, however, only BRCAmut status significantly correlated with optimal debulking. Patients with BRCAmut disease showed significantly prolonged overall survival (OS) by 24.3 months. Progression-free survival (PFS) was prolonged in the BRCAmut group at all stages as well, reaching statistical significance during recurrence.\r\n\r\nConclusions: Patients with BRCAmut disease showed a more aggressive course of disease with earlier onset and more extensive tumor dissemination at pOC. However, surgical outcome and OS were significantly better in patients with BRCAmut disease compared with patients with BRCAwt disease. We therefore propose to consider BRCAmut status in regard to patient selection for cytoreductive surgery, especially in rOC.","lang":"eng"}],"keyword":["Oncology","Surgery"],"publisher":"Springer Nature","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)"},"title":"Impact of BRCA mutation status on tumor dissemination pattern, surgical outcome and patient survival in primary and recurrent high-grade serous ovarian cancer: A multicenter retrospective study by the Ovarian Cancer Therapy-Innovative Models Prolong Survival (OCTIPS) consortium","publication_status":"published","file":[{"file_id":"12490","content_type":"application/pdf","creator":"dernst","checksum":"36a1200e1011f4b2155a8041d0308f34","file_name":"2023_AnnalsSurgicalOncology_Glajzer.pdf","access_level":"open_access","file_size":365865,"date_updated":"2023-02-02T13:01:20Z","relation":"main_file","date_created":"2023-02-02T13:01:20Z","success":1}],"intvolume":"        30","day":"01","file_date_updated":"2023-02-02T13:01:20Z","department":[{"_id":"JoDa"}],"type":"journal_article","isi":1,"page":"35-45","date_published":"2023-01-01T00:00:00Z","acknowledgement":"E.I.B. is a Feodor Lynen fellow of the Humboldt Foundation and a participant of the Charité Clinical Scientist Program funded by the Charité Universitätsmedizin Berlin and the Berlin Institute of Health. This work was supported by European Commission’s Seventh Framework Programme under grant agreement no. 279113 (OCTIPS; www.octips.eu).\r\nOpen Access funding enabled and organized by Projekt DEAL.","date_updated":"2026-06-18T17:21:24Z","related_material":{"record":[{"id":"12115","status":"public","relation":"other"}]},"publication":"Annals of Surgical Oncology","article_type":"original","oa_version":"Published Version","publication_identifier":{"eissn":["1534-4681"],"issn":["1068-9265"]},"author":[{"first_name":"Jacek","full_name":"Glajzer, Jacek","last_name":"Glajzer"},{"full_name":"Castillo-Tong, Dan Cacsire","first_name":"Dan Cacsire","last_name":"Castillo-Tong"},{"first_name":"Rolf","full_name":"Richter, Rolf","last_name":"Richter"},{"last_name":"Vergote","first_name":"Ignace","full_name":"Vergote, Ignace"},{"last_name":"Kulbe","full_name":"Kulbe, Hagen","first_name":"Hagen"},{"last_name":"Vanderstichele","first_name":"Adriaan","full_name":"Vanderstichele, Adriaan"},{"last_name":"Ruscito","full_name":"Ruscito, Ilary","first_name":"Ilary"},{"full_name":"Trillsch, Fabian","first_name":"Fabian","last_name":"Trillsch"},{"last_name":"Mustea","full_name":"Mustea, Alexander","first_name":"Alexander"},{"first_name":"Caroline","full_name":"Kreuzinger, Caroline","last_name":"Kreuzinger","id":"382077BA-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Gourley","full_name":"Gourley, Charlie","first_name":"Charlie"},{"full_name":"Gabra, Hani","first_name":"Hani","last_name":"Gabra"},{"last_name":"Taube","first_name":"Eliane T.","full_name":"Taube, Eliane T."},{"first_name":"Oliver","full_name":"Dorigo, Oliver","last_name":"Dorigo"},{"first_name":"David","full_name":"Horst, David","last_name":"Horst"},{"first_name":"Carlotta","full_name":"Keunecke, Carlotta","last_name":"Keunecke"},{"full_name":"Baum, Joanna","first_name":"Joanna","last_name":"Baum"},{"last_name":"Angelotti","first_name":"Timothy","full_name":"Angelotti, Timothy"},{"last_name":"Sehouli","full_name":"Sehouli, Jalid","first_name":"Jalid"},{"full_name":"Braicu, Elena Ioana","first_name":"Elena Ioana","last_name":"Braicu"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87"},{"corr_author":"1","acknowledgement":"We thank J. Vorlaufer, N. Agudelo, A. Wartak for microscope maintenance and troubleshooting, C. Kreuzinger and A. Freeman for technical assistance, and M. Šuplata for hardware control support, and Márcia Cunha dos Santos for initial exploration of software. We thank Paul Henderson for advice on deep-learning training and Michael Sixt, Scott Boyd, and Tamara Weiss for discussions and critical reading of the manuscript. Luke Lavis (Janelia Research Campus) generously provided JF585-HaloTag ligand. 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However, it has been hindered by insufficient 3D-resolution, inadequate signal-to-noise-ratio, and prohibitive light burden in optical imaging, whereas electron microscopy is inherently static. Here we solved these challenges by developing an integrated optical/machine learning technology, LIONESS (Live Information-Optimized Nanoscopy Enabling Saturated Segmentation). It leverages optical modifications to stimulated emission depletion (STED) microscopy in comprehensively, extracellularly labelled tissue and prior information on sample structure via machine learning to simultaneously achieve isotropic super-resolution, high signal-to-noise-ratio, and compatibility with living tissue. This allows dense deep-learning-based instance segmentation and 3D-reconstruction at synapse level incorporating molecular, activity, and morphodynamic information. LIONESS opens up avenues for studying the dynamic functional (nano-)architecture of living brain tissue."}],"publisher":"Institute of Science and Technology Austria","tmp":{"short":"CC BY-SA (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","image":"/images/cc_by_sa.png","name":"Creative Commons Attribution-ShareAlike 4.0 International Public License (CC BY-SA 4.0)"},"title":"Research data for the publication \"Dense 4D nanoscale reconstruction of living brain tissue\"","doi":"10.15479/AT:ISTA:12817","status":"public","date_created":"2023-04-07T11:37:40Z","month":"05","citation":{"mla":"Danzl, Johann G. <i>Research Data for the Publication “Dense 4D Nanoscale Reconstruction of Living Brain Tissue.”</i> Institute of Science and Technology Austria, 2023, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:12817\">10.15479/AT:ISTA:12817</a>.","ieee":"J. G. Danzl, “Research data for the publication ‘Dense 4D nanoscale reconstruction of living brain tissue.’” Institute of Science and Technology Austria, 2023.","ama":"Danzl JG. Research data for the publication “Dense 4D nanoscale reconstruction of living brain tissue.” 2023. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:12817\">10.15479/AT:ISTA:12817</a>","apa":"Danzl, J. G. (2023). Research data for the publication “Dense 4D nanoscale reconstruction of living brain tissue.” Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:12817\">https://doi.org/10.15479/AT:ISTA:12817</a>","short":"J.G. Danzl, (2023).","chicago":"Danzl, Johann G. “Research Data for the Publication ‘Dense 4D Nanoscale Reconstruction of Living Brain Tissue.’” Institute of Science and Technology Austria, 2023. <a href=\"https://doi.org/10.15479/AT:ISTA:12817\">https://doi.org/10.15479/AT:ISTA:12817</a>.","ista":"Danzl JG. 2023. Research data for the publication ‘Dense 4D nanoscale reconstruction of living brain tissue’, Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/AT:ISTA:12817\">10.15479/AT:ISTA:12817</a>."},"oa":1,"ddc":["570"],"_id":"12817","article_processing_charge":"No"},{"author":[{"full_name":"Dunajova, Zuzana","first_name":"Zuzana","last_name":"Dunajova","id":"4B39F286-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Batirtze","full_name":"Prats Mateu, Batirtze","last_name":"Prats Mateu","id":"299FE892-F248-11E8-B48F-1D18A9856A87"},{"id":"40136C2A-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-9198-2182 ","last_name":"Radler","first_name":"Philipp","full_name":"Radler, Philipp"},{"first_name":"Keesiang","full_name":"Lim, Keesiang","last_name":"Lim"},{"last_name":"Brandis","first_name":"Dörte","full_name":"Brandis, Dörte"},{"id":"39BDC62C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-2340-7431","last_name":"Velicky","first_name":"Philipp","full_name":"Velicky, Philipp"},{"full_name":"Danzl, Johann G","first_name":"Johann G","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8559-3973","last_name":"Danzl"},{"last_name":"Wong","full_name":"Wong, Richard W.","first_name":"Richard W."},{"first_name":"Jens","full_name":"Elgeti, Jens","last_name":"Elgeti"},{"full_name":"Hannezo, Edouard B","first_name":"Edouard B","orcid":"0000-0001-6005-1561","last_name":"Hannezo","id":"3A9DB764-F248-11E8-B48F-1D18A9856A87"},{"id":"462D4284-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-7309-9724","last_name":"Loose","first_name":"Martin","full_name":"Loose, Martin"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","oa_version":"Published Version","related_material":{"record":[{"id":"13314","status":"public","relation":"used_in_publication"},{"relation":"used_in_publication","id":"21423","status":"public"}]},"acknowledged_ssus":[{"_id":"Bio"},{"_id":"LifeSc"}],"corr_author":"1","date_updated":"2026-03-17T12:02:11Z","acknowledgement":"This work was supported by the European Research Council through grant ERC 2015-StG-679239 and by the Austrian Science Fund (FWF) StandAlone P34607 to M.L., B. P.M.  was also supported by the Kanazawa University WPI- NanoLSI Bio-SPM collaborative research program. Z.D. has received funding from Doctoral Programme of the Austrian Academy of Sciences (OeAW): Grant agreement 26360. We thank Jan Brugues (MPI CBG, Dresden, Germany), Andela Saric (ISTA, Klosterneuburg, Austria), Daniel Pearce (Uni Geneva, Switzerland) for valuable scientific input and comments on the manuscript. We are also thankful for the support by the Scientific Service Units (SSU) of IST Austria through resources provided by the Imaging and Optics Facility (IOF) and the Lab Support Facility (LSF). 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of Science and Technology Austria","title":"Chiral and nematic phases of flexible active filaments","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)"},"abstract":[{"text":"The emergence of large-scale order in self-organized systems relies on local interactions between individual components. During bacterial cell division, FtsZ -- a prokaryotic homologue of the eukaryotic protein tubulin -- polymerizes into treadmilling filaments that further organize into a cytoskeletal ring. In vitro, FtsZ filaments can form dynamic chiral assemblies. However, how the active and passive properties of individual filaments relate to these large-scale self-organized structures remains poorly understood. Here, we connect single filament properties with the mesoscopic scale by combining minimal active matter simulations and biochemical reconstitution experiments. We show that density and flexibility of active chiral filaments define their global order. At intermediate densities, curved, flexible filaments organize into chiral rings and polar bands. An effectively nematic organization dominates for high densities and for straight, mutant filaments with increased rigidity. Our predicted phase diagram captures these features quantitatively, demonstrating how the flexibility, density and chirality of active filaments affect their collective behaviour. Our findings shed light on the fundamental properties of active chiral matter and explain how treadmilling FtsZ filaments organize during bacterial cell division. ","lang":"eng"}],"year":"2023","has_accepted_license":"1","ec_funded":1,"ddc":["539"],"article_processing_charge":"No","_id":"13116","oa":1,"date_created":"2023-06-02T12:30:40Z","project":[{"name":"Self-Organization of the Bacterial Cell","grant_number":"679239","call_identifier":"H2020","_id":"2595697A-B435-11E9-9278-68D0E5697425"},{"_id":"fc38323b-9c52-11eb-aca3-ff8afb4a011d","grant_number":"P34607","name":"In vitro reconstitution of bacterial cell division"},{"name":"Motile active matter models of migrating cells and chiral filaments","grant_number":"26360","_id":"34d75525-11ca-11ed-8bc3-89b6307fee9d"}],"status":"public","citation":{"short":"Z. Dunajova, B. Prats Mateu, P. Radler, K. Lim, D. Brandis, P. Velicky, J.G. Danzl, R.W. Wong, J. Elgeti, E.B. Hannezo, M. Loose, (2023).","ista":"Dunajova Z, Prats Mateu B, Radler P, Lim K, Brandis D, Velicky P, Danzl JG, Wong RW, Elgeti J, Hannezo EB, Loose M. 2023. Chiral and nematic phases of flexible active filaments, Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/AT:ISTA:13116\">10.15479/AT:ISTA:13116</a>.","chicago":"Dunajova, Zuzana, Batirtze Prats Mateu, Philipp Radler, Keesiang Lim, Dörte Brandis, Philipp Velicky, Johann G Danzl, et al. “Chiral and Nematic Phases of Flexible Active Filaments.” Institute of Science and Technology Austria, 2023. <a href=\"https://doi.org/10.15479/AT:ISTA:13116\">https://doi.org/10.15479/AT:ISTA:13116</a>.","mla":"Dunajova, Zuzana, et al. <i>Chiral and Nematic Phases of Flexible Active Filaments</i>. Institute of Science and Technology Austria, 2023, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:13116\">10.15479/AT:ISTA:13116</a>.","ieee":"Z. Dunajova <i>et al.</i>, “Chiral and nematic phases of flexible active filaments.” Institute of Science and Technology Austria, 2023.","ama":"Dunajova Z, Prats Mateu B, Radler P, et al. Chiral and nematic phases of flexible active filaments. 2023. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:13116\">10.15479/AT:ISTA:13116</a>","apa":"Dunajova, Z., Prats Mateu, B., Radler, P., Lim, K., Brandis, D., Velicky, P., … Loose, M. (2023). Chiral and nematic phases of flexible active filaments. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:13116\">https://doi.org/10.15479/AT:ISTA:13116</a>"},"month":"07","doi":"10.15479/AT:ISTA:13116"},{"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8559-3973","last_name":"Danzl","first_name":"Johann G","full_name":"Danzl, Johann G"}],"oa_version":"Published Version","acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"Bio"},{"_id":"PreCl"},{"_id":"LifeSc"},{"_id":"M-Shop"},{"_id":"E-Lib"}],"related_material":{"link":[{"description":"Original data for Fig. 5d, Fig. 5d (N2V) and Fig. 5f-i, provided via an external link due to the large size (>10GB) of the datasets. ","relation":"research_data","url":"https://pub.ista.ac.at/group_danzl/data/CATS/"}],"record":[{"id":"14257","status":"public","relation":"used_in_publication"}]},"acknowledgement":"We thank Jakob Vorlaufer, Nathalie Agudelo-Dueñas, Wiebke Jahr, Andreas Wartak for microscope maintenance and troubleshooting, Caroline Kreuzinger, Anna Freeman, and Irene Erber for technical assistance and Matthias Tomschik for support with obtaining human samples. We gratefully acknowledge Eder Miguel for setting up webKnossos and Marek Šuplata for computational support and hardware control. We are grateful to Ryuichi Shigemoto and Bernd Bickel for generous support, and Michael Sixt and Scott Boyd (Stanford University) for discussions and critical reading of the manuscript. PSD95-HaloTag mice were kindly provided by Seth Grant (University of Edinburgh). We acknowledge expert support by IST Austria’s scientific computing, imaging and optics, preclinical, and lab support facilities, and by the Library and Miba machine shop.\r\nWe gratefully acknowledge funding by the following sources: \r\nAustrian Science Fund (FWF) grant I3600-B27 (JGD)\r\nAustrian Science Fund (FWF) grant DK W1232 (JGD, JMM)\r\nAustrian Science Fund (FWF) grant Z 312-B27, Wittgenstein award (PJ)\r\nAustrian Science Funds (FWF) projects I4685-B, I6565-B (SYNABS) and DOC 33-B27 (RH)\r\nGesellschaft für Forschungsförderung NÖ (NFB) grant LSC18-022 (JGD)\r\nEuropean Union’s Horizon 2020 research and innovation programme, European Research Council (ERC) grant 715508 – REVERSEAUTISM (GN)\r\nEuropean Union’s Horizon 2020 research and innovation programme, European Research Council (ERC) grant 692692 – GIANTSYN (PJ)\r\nMarie Skłodowska-Curie Actions Fellowship GA no. 665385 under the EU Horizon 2020 program (JMM, JL)\r\nMarie Skłodowska-Curie Actions Individual Fellowship 101026635 under the EU Horizon 2020 program (JFW)","date_updated":"2026-04-14T08:34:35Z","corr_author":"1","date_published":"2023-08-04T00:00:00Z","department":[{"_id":"JoDa"},{"_id":"SaSi"},{"_id":"GaNo"},{"_id":"PeJo"},{"_id":"Bio"},{"_id":"RySh"}],"type":"research_data","file_date_updated":"2023-08-04T13:19:47Z","day":"04","contributor":[{"id":"443DB6DE-F248-11E8-B48F-1D18A9856A87","last_name":"Michalska","first_name":"Julia M"},{"id":"46E28B80-F248-11E8-B48F-1D18A9856A87","last_name":"Lyudchik","first_name":"Julia"},{"first_name":"Philipp","orcid":"0000-0002-2340-7431","last_name":"Velicky","id":"39BDC62C-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Hana","last_name":"Stefanickova","id":"ee3cb6ca-ec98-11ea-ae11-ff703e2254ed"},{"orcid":"0000-0002-8698-3823","last_name":"Watson","id":"63836096-4690-11EA-BD4E-32803DDC885E","first_name":"Jake"},{"first_name":"Alban","id":"9ac8f577-2357-11eb-997a-e566c5550886","last_name":"Cenameri"},{"first_name":"Christoph 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Super-resolution optical microscopy excels at visualizing specific molecules and individual cells but fails to provide tissue context. Here, we developed Comprehensive Analysis of Tissues across Scales (CATS), a technology to densely map brain tissue architecture from millimeter regional to nanometer synaptic scales in diverse chemically fixed brain preparations, including rodent and human. CATS uses fixation-compatible extracellular labeling and optical imaging, including stimulated emission depletion or expansion microscopy, to comprehensively delineate cellular structures. It enables three-dimensional reconstruction of single synapses and mapping of synaptic connectivity by identification and analysis of putative synaptic cleft regions. Applying CATS to the mouse hippocampal mossy fiber circuitry, we reconstructed and quantified the synaptic input and output structure of identified neurons. We furthermore demonstrate applicability to clinically derived human tissue samples, including formalin-fixed paraffin-embedded routine diagnostic specimens, for visualizing the cellular architecture of brain tissue in health and disease.","lang":"eng"}],"has_accepted_license":"1","ec_funded":1,"year":"2023","_id":"13126","article_processing_charge":"No","ddc":["610"],"oa":1,"month":"08","citation":{"apa":"Danzl, J. G. (2023). Research data for the publication “Imaging brain tissue architecture across millimeter to nanometer scales.” Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:13126\">https://doi.org/10.15479/AT:ISTA:13126</a>","mla":"Danzl, Johann G. <i>Research Data for the Publication “Imaging Brain Tissue Architecture across Millimeter to Nanometer Scales.”</i> Institute of Science and Technology Austria, 2023, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:13126\">10.15479/AT:ISTA:13126</a>.","ieee":"J. G. Danzl, “Research data for the publication ‘Imaging brain tissue architecture across millimeter to nanometer scales.’” Institute of Science and Technology Austria, 2023.","ama":"Danzl JG. Research data for the publication “Imaging brain tissue architecture across millimeter to nanometer scales.” 2023. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:13126\">10.15479/AT:ISTA:13126</a>","ista":"Danzl JG. 2023. Research data for the publication ‘Imaging brain tissue architecture across millimeter to nanometer scales’, Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/AT:ISTA:13126\">10.15479/AT:ISTA:13126</a>.","chicago":"Danzl, Johann G. “Research Data for the Publication ‘Imaging Brain Tissue Architecture across Millimeter to Nanometer Scales.’” Institute of Science and Technology Austria, 2023. <a href=\"https://doi.org/10.15479/AT:ISTA:13126\">https://doi.org/10.15479/AT:ISTA:13126</a>.","short":"J.G. Danzl, (2023)."},"status":"public","date_created":"2023-06-07T07:15:12Z","project":[{"_id":"265CB4D0-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","grant_number":"I03600","name":"Optical control of synaptic function via adhesion molecules"},{"name":"Molecular Drug Targets","call_identifier":"FWF","grant_number":"W1232-B24","_id":"26AA4EF2-B435-11E9-9278-68D0E5697425"},{"_id":"25C5A090-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","grant_number":"Z00312","name":"Synaptic communication in neuronal microcircuits"},{"_id":"23889792-32DE-11EA-91FC-C7463DDC885E","grant_number":"LS18-022","name":"High content imaging to decode human immune cell interactions in health and allergic disease"},{"name":"Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo and in vitro Models","grant_number":"715508","call_identifier":"H2020","_id":"25444568-B435-11E9-9278-68D0E5697425"},{"_id":"25B7EB9E-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","grant_number":"692692","name":"Biophysics and circuit function of a giant cortical glutamatergic synapse"},{"name":"International IST Doctoral Program","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385","call_identifier":"H2020"},{"_id":"fc2be41b-9c52-11eb-aca3-faa90aa144e9","grant_number":"101026635","call_identifier":"H2020","name":"Synaptic computations of the hippocampal CA3 circuitry"}],"doi":"10.15479/AT:ISTA:13126"}]