[{"department":[{"_id":"JoDa"},{"_id":"GradSch"},{"_id":"FlSc"},{"_id":"EM-Fac"}],"file":[{"file_size":7238179,"content_type":"application/pdf","success":1,"access_level":"open_access","date_created":"2025-06-10T07:24:46Z","file_name":"2025_BiophysicalReports_Vorlaufer.pdf","date_updated":"2025-06-10T07:24:46Z","file_id":"19802","checksum":"4018c833f25a3ad3b57e3577fed70334","creator":"dernst","relation":"main_file"}],"project":[{"name":"CryoMinflux-guided in-situ molecular census and structure determination","_id":"62909c6f-2b32-11ec-9570-e1476aab5308","grant_number":"CZI01"},{"_id":"6285a163-2b32-11ec-9570-8e204ca2dba5","grant_number":"26137","name":"Studying Organelle Structure and Function at Nanoscale Resolution with Expansion Microscopy"},{"grant_number":"665385","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","name":"International IST Doctoral Program","call_identifier":"H2020"},{"name":"Molecular Drug Targets","call_identifier":"FWF","grant_number":"W1232-B24","_id":"26AA4EF2-B435-11E9-9278-68D0E5697425"},{"grant_number":"LT00057","_id":"2668BFA0-B435-11E9-9278-68D0E5697425","name":"High-speed 3D-nanoscopy to study the role of adhesion during 3D cell migration"}],"oa":1,"article_number":"100211","oa_version":"Published Version","article_processing_charge":"Yes","day":"11","issue":"2","month":"06","license":"https://creativecommons.org/licenses/by/4.0/","author":[{"full_name":"Vorlaufer, Jakob","first_name":"Jakob","id":"937696FA-C996-11E9-8C7C-CF13E6697425","orcid":"0009-0000-7590-3501","last_name":"Vorlaufer"},{"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"},{"last_name":"Javoor","id":"305ab18b-dc7d-11ea-9b2f-b58195228ea2","first_name":"Manjunath","full_name":"Javoor, Manjunath"},{"id":"45FD126C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-9561-1239","last_name":"Zens","first_name":"Bettina","full_name":"Zens, Bettina"},{"full_name":"Agudelo Duenas, Nathalie","first_name":"Nathalie","id":"40E7F008-F248-11E8-B48F-1D18A9856A87","last_name":"Agudelo Duenas"},{"first_name":"Mojtaba","full_name":"Tavakoli, Mojtaba","last_name":"Tavakoli","orcid":"0000-0002-7667-6854","id":"3A0A06F4-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Suplata","id":"EE8452B8-C26A-11E9-B157-E80CE6697425","full_name":"Suplata, Marek","first_name":"Marek"},{"id":"425C1CE8-F248-11E8-B48F-1D18A9856A87","last_name":"Jahr","first_name":"Wiebke","full_name":"Jahr, Wiebke"},{"first_name":"Julia","full_name":"Lyudchik, Julia","id":"46E28B80-F248-11E8-B48F-1D18A9856A87","last_name":"Lyudchik"},{"full_name":"Wartak, Andreas","first_name":"Andreas","last_name":"Wartak","id":"60aaa06c-3de5-11eb-9e53-baa88e955dcb"},{"first_name":"Florian Km","full_name":"Schur, Florian Km","id":"48AD8942-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-4790-8078","last_name":"Schur"},{"last_name":"Danzl","orcid":"0000-0001-8559-3973","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","full_name":"Danzl, Johann G","first_name":"Johann G"}],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png"},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication":"Biophysical Reports","year":"2025","ec_funded":1,"language":[{"iso":"eng"}],"quality_controlled":"1","OA_type":"gold","ddc":["570"],"date_published":"2025-06-11T00:00:00Z","citation":{"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>.","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>","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>.","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).","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.","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>","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."},"date_created":"2025-06-08T22:01:22Z","has_accepted_license":"1","article_type":"original","intvolume":"         5","OA_place":"publisher","scopus_import":"1","title":"Image-based 3D active sample stabilization on the nanometer scale for optical microscopy","_id":"19795","publisher":"Elsevier","status":"public","related_material":{"record":[{"status":"public","id":"20206","relation":"dissertation_contains"}]},"doi":"10.1016/j.bpr.2025.100211","abstract":[{"lang":"eng","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."}],"publication_identifier":{"eissn":["2667-0747"]},"file_date_updated":"2025-06-10T07:24:46Z","type":"journal_article","acknowledged_ssus":[{"_id":"M-Shop"},{"_id":"EM-Fac"},{"_id":"LifeSc"}],"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.).","DOAJ_listed":"1","date_updated":"2025-09-02T10:18:55Z","volume":5,"corr_author":"1","publication_status":"published"},{"date_updated":"2025-09-02T10:18:56Z","corr_author":"1","publication_status":"published","publication_identifier":{"issn":["2663-337X"]},"file_date_updated":"2025-08-25T13:49:56Z","acknowledged_ssus":[{"_id":"M-Shop"},{"_id":"EM-Fac"},{"_id":"Bio"}],"type":"dissertation","alternative_title":["ISTA Thesis"],"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. ","doi":"10.15479/AT-ISTA-20206","abstract":[{"lang":"eng","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"}],"related_material":{"record":[{"status":"public","relation":"part_of_dissertation","id":"19795"}]},"status":"public","OA_place":"repository","title":"Construction of a cryo-super-resolution microscope to guide in situ structure analysis","_id":"20206","degree_awarded":"PhD","page":"107","publisher":"Institute of Science and Technology Austria","ddc":["621","535"],"date_published":"2025-08-25T00:00:00Z","has_accepted_license":"1","citation":{"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>.","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>","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>.","short":"J. Vorlaufer, Construction of a Cryo-Super-Resolution Microscope to Guide in Situ Structure Analysis, Institute of Science and Technology Austria, 2025.","ieee":"J. Vorlaufer, “Construction of a cryo-super-resolution microscope to guide in situ structure analysis,” Institute of Science and Technology Austria, 2025.","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>","ista":"Vorlaufer J. 2025. Construction of a cryo-super-resolution microscope to guide in situ structure analysis. Institute of Science and Technology Austria."},"date_created":"2025-08-22T08:12:55Z","language":[{"iso":"eng"}],"supervisor":[{"id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8559-3973","last_name":"Danzl","first_name":"Johann G","full_name":"Danzl, Johann G"}],"year":"2025","month":"08","license":"https://creativecommons.org/licenses/by-nc-sa/4.0/","author":[{"full_name":"Vorlaufer, Jakob","first_name":"Jakob","orcid":"0009-0000-7590-3501","last_name":"Vorlaufer","id":"937696FA-C996-11E9-8C7C-CF13E6697425"}],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode","short":"CC BY-NC-SA (4.0)","name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","image":"/images/cc_by_nc_sa.png"},"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","article_processing_charge":"No","day":"25","oa_version":"Published Version","department":[{"_id":"GradSch"},{"_id":"JoDa"}],"file":[{"relation":"source_file","creator":"jvorlauf","checksum":"191db3367c19c9b32b65f4bc3a7c19de","file_id":"20228","date_updated":"2025-08-25T13:49:55Z","file_name":"2025_Vorlaufer_Jakob_Thesis.docx","date_created":"2025-08-25T13:49:55Z","access_level":"closed","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","file_size":39735535},{"access_level":"open_access","success":1,"content_type":"application/pdf","file_name":"2025_Vorlaufer_Jakob_Thesis.pdf","date_updated":"2025-08-25T13:49:56Z","date_created":"2025-08-25T13:49:56Z","file_size":10947446,"relation":"main_file","file_id":"20229","creator":"jvorlauf","checksum":"104400e6036921569610230c1d4899dc"}],"project":[{"grant_number":"CZI01","_id":"62909c6f-2b32-11ec-9570-e1476aab5308","name":"CryoMinflux-guided in-situ molecular census and structure determination"}],"oa":1},{"oa_version":"Published Version","PlanS_conform":"1","project":[{"name":"Tracing Evolution of Auxin Transport and Polarity in Plants","call_identifier":"H2020","_id":"261099A6-B435-11E9-9278-68D0E5697425","grant_number":"742985"},{"name":"International IST Doctoral Program","call_identifier":"H2020","grant_number":"665385","_id":"2564DBCA-B435-11E9-9278-68D0E5697425"},{"grant_number":"754411","_id":"260C2330-B435-11E9-9278-68D0E5697425","name":"ISTplus - Postdoctoral Fellowships","call_identifier":"H2020"},{"grant_number":"ALTF 679-2018","_id":"269B5B22-B435-11E9-9278-68D0E5697425","name":"UltraX - achieving sub-nanometer resolution in light microscopy using iterative X10 microscopy in combination with nanobodies and STED"},{"_id":"6285a163-2b32-11ec-9570-8e204ca2dba5","grant_number":"26137","name":"Studying Organelle Structure and Function at Nanoscale Resolution with Expansion Microscopy"},{"_id":"26AA4EF2-B435-11E9-9278-68D0E5697425","grant_number":"W1232-B24","name":"Molecular Drug Targets","call_identifier":"FWF"}],"oa":1,"article_number":"koaf006","department":[{"_id":"EvBe"},{"_id":"JoDa"},{"_id":"JiFr"}],"file":[{"relation":"main_file","creator":"dernst","checksum":"9d3f8218ff37a29f29c48a7bbe831bd3","file_id":"20092","date_updated":"2025-07-31T07:03:43Z","file_name":"2025_PlantCell_Gallei.pdf","date_created":"2025-07-31T07:03:43Z","access_level":"open_access","success":1,"content_type":"application/pdf","file_size":53904111}],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png"},"author":[{"id":"35A03822-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-1286-7368","last_name":"Gallei","full_name":"Gallei, Michelle C","first_name":"Michelle C"},{"id":"45812BD4-F248-11E8-B48F-1D18A9856A87","last_name":"Truckenbrodt","full_name":"Truckenbrodt, Sven M","first_name":"Sven M"},{"full_name":"Kreuzinger, Caroline","first_name":"Caroline","id":"382077BA-F248-11E8-B48F-1D18A9856A87","last_name":"Kreuzinger"},{"orcid":"0009-0002-5890-120X","last_name":"Inumella","id":"F8660870-D756-11E9-98C5-34DFE5697425","first_name":"Syamala","full_name":"Inumella, Syamala"},{"id":"7e146587-8972-11ed-ae7b-d7a32ea86a81","last_name":"Vistunou","full_name":"Vistunou, Vitali","first_name":"Vitali"},{"last_name":"Sommer","orcid":"0000-0003-1216-9105","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","first_name":"Christoph M","full_name":"Sommer, Christoph M"},{"id":"3A0A06F4-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7667-6854","last_name":"Tavakoli","full_name":"Tavakoli, Mojtaba","first_name":"Mojtaba"},{"first_name":"Nathalie","full_name":"Agudelo Duenas, Nathalie","last_name":"Agudelo Duenas","id":"40E7F008-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Vorlaufer, Jakob","first_name":"Jakob","id":"937696FA-C996-11E9-8C7C-CF13E6697425","orcid":"0009-0000-7590-3501","last_name":"Vorlaufer"},{"full_name":"Jahr, Wiebke","first_name":"Wiebke","last_name":"Jahr","id":"425C1CE8-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Randuch","id":"6ac4636d-15b2-11ec-abd3-fb8df79972ae","full_name":"Randuch, Marek","first_name":"Marek"},{"first_name":"Alexander J","full_name":"Johnson, Alexander J","id":"46A62C3A-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-2739-8843","last_name":"Johnson"},{"id":"38F4F166-F248-11E8-B48F-1D18A9856A87","last_name":"Benková","orcid":"0000-0002-8510-9739","first_name":"Eva","full_name":"Benková, Eva"},{"full_name":"Friml, Jiří","first_name":"Jiří","id":"4159519E-F248-11E8-B48F-1D18A9856A87","last_name":"Friml","orcid":"0000-0002-8302-7596"},{"id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","last_name":"Danzl","orcid":"0000-0001-8559-3973","full_name":"Danzl, Johann G","first_name":"Johann G"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","month":"04","issue":"4","isi":1,"day":"01","article_processing_charge":"Yes (via OA deal)","language":[{"iso":"eng"}],"quality_controlled":"1","OA_type":"hybrid","ec_funded":1,"year":"2025","publication":"The Plant Cell","article_type":"original","intvolume":"        37","date_published":"2025-04-01T00:00:00Z","ddc":["580"],"date_created":"2025-02-05T06:52:06Z","citation":{"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>","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>.","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).","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>.","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.","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.","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>"},"has_accepted_license":"1","external_id":{"isi":["001462763100001"],"pmid":["39792900"]},"_id":"19003","publisher":"Oxford University Press","OA_place":"publisher","title":"Super-resolution expansion microscopy in plant roots","scopus_import":"1","related_material":{"record":[{"status":"public","relation":"earlier_version","id":"18689"},{"relation":"research_data","id":"18837","status":"public"}]},"status":"public","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. "}],"doi":"10.1093/plcell/koaf006","pmid":1,"corr_author":"1","publication_status":"published","date_updated":"2025-10-08T08:43:56Z","volume":37,"type":"journal_article","acknowledged_ssus":[{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"E-Lib"},{"_id":"M-Shop"}],"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.","publication_identifier":{"eissn":["1532-298X"],"issn":["1040-4651"]},"file_date_updated":"2025-07-31T07:03:43Z"},{"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png"},"author":[{"orcid":"0000-0002-7667-6854","last_name":"Tavakoli","id":"3A0A06F4-F248-11E8-B48F-1D18A9856A87","full_name":"Tavakoli, Mojtaba","first_name":"Mojtaba"},{"last_name":"Lyudchik","id":"46E28B80-F248-11E8-B48F-1D18A9856A87","first_name":"Julia","full_name":"Lyudchik, Julia"},{"first_name":"Michał","full_name":"Januszewski, Michał","last_name":"Januszewski"},{"id":"7e146587-8972-11ed-ae7b-d7a32ea86a81","last_name":"Vistunou","full_name":"Vistunou, Vitali","first_name":"Vitali"},{"first_name":"Nathalie","full_name":"Agudelo Duenas, Nathalie","last_name":"Agudelo Duenas","id":"40E7F008-F248-11E8-B48F-1D18A9856A87"},{"id":"937696FA-C996-11E9-8C7C-CF13E6697425","last_name":"Vorlaufer","orcid":"0009-0000-7590-3501","full_name":"Vorlaufer, Jakob","first_name":"Jakob"},{"last_name":"Sommer","orcid":"0000-0003-1216-9105","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","full_name":"Sommer, Christoph M","first_name":"Christoph M"},{"first_name":"Caroline","full_name":"Kreuzinger, Caroline","last_name":"Kreuzinger","id":"382077BA-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Bárbara","full_name":"Oliveira, Bárbara","last_name":"Oliveira","id":"3B03AA1A-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Cenameri","id":"9ac8f577-2357-11eb-997a-e566c5550886","first_name":"Alban","full_name":"Cenameri, Alban"},{"orcid":"0000-0002-7673-7178","last_name":"Novarino","id":"3E57A680-F248-11E8-B48F-1D18A9856A87","first_name":"Gaia","full_name":"Novarino, Gaia"},{"full_name":"Jain, Viren","first_name":"Viren","last_name":"Jain"},{"orcid":"0000-0001-8559-3973","last_name":"Danzl","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","full_name":"Danzl, Johann G","first_name":"Johann G"}],"month":"06","day":"12","article_processing_charge":"Yes (via OA deal)","isi":1,"PlanS_conform":"1","oa_version":"Published Version","oa":1,"project":[{"name":"Studying Organelle Structure and Function at Nanoscale Resolution with Expansion Microscopy","_id":"6285a163-2b32-11ec-9570-8e204ca2dba5","grant_number":"26137"},{"name":"International IST Doctoral Program","call_identifier":"H2020","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385"},{"name":"Toward an understanding of the brain interstitial system and the extracellular proteome in health and autism spectrum disorders","_id":"34ba8964-11ca-11ed-8bc3-e15864e7e9a6","grant_number":"101044865"},{"_id":"26AA4EF2-B435-11E9-9278-68D0E5697425","grant_number":"W1232-B24","name":"Molecular Drug Targets","call_identifier":"FWF"}],"department":[{"_id":"JoDa"},{"_id":"GradSch"},{"_id":"Bio"},{"_id":"GaNo"}],"file":[{"relation":"main_file","file_id":"19959","creator":"dernst","checksum":"ebc99d7108e728f46db0a009292675ef","success":1,"access_level":"open_access","content_type":"application/pdf","date_updated":"2025-07-03T06:55:20Z","file_name":"2025_Nature_Tavakoli.pdf","date_created":"2025-07-03T06:55:20Z","file_size":133201290}],"article_type":"original","intvolume":"       642","date_created":"2025-05-18T22:02:51Z","has_accepted_license":"1","citation":{"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.","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>","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.","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>.","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>","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>.","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."},"ddc":["570"],"date_published":"2025-06-12T00:00:00Z","external_id":{"pmid":["40335689"],"isi":["001483477000001"]},"quality_controlled":"1","OA_type":"hybrid","language":[{"iso":"eng"}],"ec_funded":1,"year":"2025","publication":"Nature","related_material":{"record":[{"status":"public","relation":"earlier_version","id":"18677"},{"relation":"research_data","id":"18697","status":"public"}]},"status":"public","publisher":"Springer Nature","page":"398-410","_id":"19704","scopus_import":"1","title":"Light-microscopy-based connectomic reconstruction of mammalian brain tissue","OA_place":"publisher","publication_status":"published","corr_author":"1","volume":642,"date_updated":"2026-01-05T14:11:56Z","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).","acknowledged_ssus":[{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"ScienComp"},{"_id":"PreCl"},{"_id":"M-Shop"},{"_id":"E-Lib"}],"type":"journal_article","file_date_updated":"2025-07-03T06:55:20Z","publication_identifier":{"issn":["0028-0836"],"eissn":["1476-4687"]},"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."}],"doi":"10.1038/s41586-025-08985-1","pmid":1},{"_id":"18677","title":"Light-microscopy based dense connectomic reconstruction of mammalian brain tissue","OA_place":"repository","main_file_link":[{"url":"https://doi.org/10.1101/2024.03.01.582884","open_access":"1"}],"status":"public","related_material":{"record":[{"relation":"dissertation_contains","id":"18674","status":"public"},{"status":"public","relation":"dissertation_contains","id":"18681"},{"status":"public","id":"19704","relation":"later_version"}]},"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 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."}],"doi":"10.1101/2024.03.01.582884","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","type":"preprint","acknowledged_ssus":[{"_id":"E-Lib"},{"_id":"M-Shop"},{"_id":"LifeSc"},{"_id":"Bio"},{"_id":"ScienComp"}],"publication_status":"draft","corr_author":"1","date_updated":"2026-01-05T14:11:56Z","project":[{"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","call_identifier":"H2020","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385"},{"name":"Toward an understanding of the brain interstitial system and the extracellular proteome in health and autism spectrum disorders","_id":"34ba8964-11ca-11ed-8bc3-e15864e7e9a6","grant_number":"101044865"},{"grant_number":"W1232-B24","_id":"26AA4EF2-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","name":"Molecular Drug Targets"}],"oa":1,"department":[{"_id":"GaNo"},{"_id":"JoDa"}],"oa_version":"Preprint","article_processing_charge":"No","day":"08","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","image":"/images/cc_by_nc_nd.png"},"author":[{"id":"3A0A06F4-F248-11E8-B48F-1D18A9856A87","last_name":"Tavakoli","orcid":"0000-0002-7667-6854","full_name":"Tavakoli, Mojtaba","first_name":"Mojtaba"},{"full_name":"Lyudchik, Julia","first_name":"Julia","id":"46E28B80-F248-11E8-B48F-1D18A9856A87","last_name":"Lyudchik"},{"last_name":"Januszewski","full_name":"Januszewski, Michał","first_name":"Michał"},{"first_name":"Vitali","full_name":"Vistunou, Vitali","last_name":"Vistunou","id":"7e146587-8972-11ed-ae7b-d7a32ea86a81"},{"id":"40E7F008-F248-11E8-B48F-1D18A9856A87","last_name":"Agudelo Duenas","full_name":"Agudelo Duenas, Nathalie","first_name":"Nathalie"},{"first_name":"Jakob","full_name":"Vorlaufer, Jakob","last_name":"Vorlaufer","orcid":"0009-0000-7590-3501","id":"937696FA-C996-11E9-8C7C-CF13E6697425"},{"first_name":"Christoph M","full_name":"Sommer, Christoph M","last_name":"Sommer","orcid":"0000-0003-1216-9105","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Kreuzinger","id":"382077BA-F248-11E8-B48F-1D18A9856A87","full_name":"Kreuzinger, Caroline","first_name":"Caroline"},{"full_name":"Oliveira, Bárbara","first_name":"Bárbara","last_name":"Oliveira","id":"3B03AA1A-F248-11E8-B48F-1D18A9856A87"},{"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","full_name":"Novarino, Gaia","first_name":"Gaia"},{"first_name":"Viren","full_name":"Jain, Viren","last_name":"Jain"},{"id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8559-3973","last_name":"Danzl","first_name":"Johann G","full_name":"Danzl, Johann G"}],"license":"https://creativecommons.org/licenses/by-nc-nd/4.0/","month":"07","year":"2024","publication":"bioRxiv","language":[{"iso":"eng"}],"ec_funded":1,"date_created":"2024-12-18T14:48:24Z","citation":{"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>","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>.","ieee":"M. Tavakoli <i>et al.</i>, “Light-microscopy based dense connectomic reconstruction of mammalian brain tissue,” <i>bioRxiv</i>. .","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.).","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>.","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>"},"date_published":"2024-07-08T00:00:00Z"},{"doi":"10.1101/2024.02.21.581330","abstract":[{"lang":"eng","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."}],"acknowledged_ssus":[{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"M-Shop"},{"_id":"E-Lib"}],"type":"preprint","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.","date_updated":"2025-10-08T08:43:55Z","corr_author":"1","publication_status":"draft","OA_place":"repository","title":"Super-resolution expansion microscopy in plant roots","_id":"18689","main_file_link":[{"url":"https://doi.org/10.1101/2024.02.21.581330","open_access":"1"}],"status":"public","related_material":{"record":[{"id":"18681","relation":"dissertation_contains","status":"public"},{"status":"public","id":"19003","relation":"later_version"}]},"publication":"bioRxiv","year":"2024","ec_funded":1,"language":[{"iso":"eng"}],"date_published":"2024-02-21T00:00:00Z","citation":{"ieee":"M. C. Gallei <i>et al.</i>, “Super-resolution expansion microscopy in plant roots,” <i>bioRxiv</i>. .","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>.","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>","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>.","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.).","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>."},"date_created":"2024-12-19T12:28:00Z","department":[{"_id":"EvBe"},{"_id":"JoDa"},{"_id":"JiFr"}],"oa":1,"project":[{"grant_number":"742985","_id":"261099A6-B435-11E9-9278-68D0E5697425","name":"Tracing Evolution of Auxin Transport and Polarity in Plants","call_identifier":"H2020"},{"grant_number":"665385","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","name":"International IST Doctoral Program","call_identifier":"H2020"},{"call_identifier":"H2020","name":"ISTplus - Postdoctoral Fellowships","_id":"260C2330-B435-11E9-9278-68D0E5697425","grant_number":"754411"},{"name":"Molecular Drug Targets","call_identifier":"FWF","grant_number":"W1232-B24","_id":"26AA4EF2-B435-11E9-9278-68D0E5697425"},{"_id":"269B5B22-B435-11E9-9278-68D0E5697425","grant_number":"ALTF 679-2018","name":"UltraX - achieving sub-nanometer resolution in light microscopy using iterative X10 microscopy in combination with nanobodies and STED"}],"oa_version":"Preprint","day":"21","article_processing_charge":"No","month":"02","license":"https://creativecommons.org/licenses/by-nc/4.0/","author":[{"first_name":"Michelle C","full_name":"Gallei, Michelle C","id":"35A03822-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-1286-7368","last_name":"Gallei"},{"full_name":"Truckenbrodt, Sven M","first_name":"Sven M","last_name":"Truckenbrodt","id":"45812BD4-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Kreuzinger","id":"382077BA-F248-11E8-B48F-1D18A9856A87","full_name":"Kreuzinger, Caroline","first_name":"Caroline"},{"first_name":"Syamala","full_name":"Inumella, Syamala","id":"F8660870-D756-11E9-98C5-34DFE5697425","orcid":"0009-0002-5890-120X","last_name":"Inumella"},{"first_name":"Vitali","full_name":"Vistunou, Vitali","last_name":"Vistunou","id":"7e146587-8972-11ed-ae7b-d7a32ea86a81"},{"full_name":"Sommer, Christoph M","first_name":"Christoph M","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","last_name":"Sommer","orcid":"0000-0003-1216-9105"},{"orcid":"0000-0002-7667-6854","last_name":"Tavakoli","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"},{"first_name":"Jakob","full_name":"Vorlaufer, Jakob","last_name":"Vorlaufer","orcid":"0009-0000-7590-3501","id":"937696FA-C996-11E9-8C7C-CF13E6697425"},{"last_name":"Jahr","id":"425C1CE8-F248-11E8-B48F-1D18A9856A87","full_name":"Jahr, Wiebke","first_name":"Wiebke"},{"last_name":"Randuch","id":"6ac4636d-15b2-11ec-abd3-fb8df79972ae","full_name":"Randuch, Marek","first_name":"Marek"},{"last_name":"Johnson","orcid":"0000-0002-2739-8843","id":"46A62C3A-F248-11E8-B48F-1D18A9856A87","full_name":"Johnson, Alexander J","first_name":"Alexander J"},{"orcid":"0000-0002-8510-9739","last_name":"Benková","id":"38F4F166-F248-11E8-B48F-1D18A9856A87","full_name":"Benková, Eva","first_name":"Eva"},{"orcid":"0000-0002-8302-7596","last_name":"Friml","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","last_name":"Danzl","orcid":"0000-0001-8559-3973"}],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc/4.0/legalcode","short":"CC BY-NC (4.0)","name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","image":"/images/cc_by_nc.png"},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87"}]