[{"oa":1,"quality_controlled":"1","article_type":"original","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","OA_place":"publisher","day":"12","volume":642,"PlanS_conform":"1","ec_funded":1,"scopus_import":"1","has_accepted_license":"1","publisher":"Springer Nature","file":[{"checksum":"ebc99d7108e728f46db0a009292675ef","content_type":"application/pdf","file_size":133201290,"success":1,"date_created":"2025-07-03T06:55:20Z","date_updated":"2025-07-03T06:55:20Z","access_level":"open_access","file_id":"19959","relation":"main_file","file_name":"2025_Nature_Tavakoli.pdf","creator":"dernst"}],"OA_type":"hybrid","citation":{"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>","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>","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>.","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.","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."},"page":"398-410","ddc":["570"],"status":"public","publication":"Nature","year":"2025","author":[{"id":"3A0A06F4-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7667-6854","full_name":"Tavakoli, Mojtaba","first_name":"Mojtaba","last_name":"Tavakoli"},{"full_name":"Lyudchik, Julia","last_name":"Lyudchik","first_name":"Julia","id":"46E28B80-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Januszewski","first_name":"Michał","full_name":"Januszewski, Michał"},{"id":"7e146587-8972-11ed-ae7b-d7a32ea86a81","last_name":"Vistunou","first_name":"Vitali","full_name":"Vistunou, Vitali"},{"full_name":"Agudelo Duenas, Nathalie","first_name":"Nathalie","last_name":"Agudelo Duenas","id":"40E7F008-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Vorlaufer","first_name":"Jakob","full_name":"Vorlaufer, Jakob","orcid":"0009-0000-7590-3501","id":"937696FA-C996-11E9-8C7C-CF13E6697425"},{"full_name":"Sommer, Christoph M","first_name":"Christoph M","last_name":"Sommer","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-1216-9105"},{"full_name":"Kreuzinger, Caroline","first_name":"Caroline","last_name":"Kreuzinger","id":"382077BA-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Oliveira, Bárbara","first_name":"Bárbara","last_name":"Oliveira","id":"3B03AA1A-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Cenameri, Alban","last_name":"Cenameri","first_name":"Alban","id":"9ac8f577-2357-11eb-997a-e566c5550886"},{"orcid":"0000-0002-7673-7178","id":"3E57A680-F248-11E8-B48F-1D18A9856A87","full_name":"Novarino, Gaia","last_name":"Novarino","first_name":"Gaia"},{"full_name":"Jain, Viren","last_name":"Jain","first_name":"Viren"},{"id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8559-3973","last_name":"Danzl","first_name":"Johann G","full_name":"Danzl, Johann G"}],"acknowledged_ssus":[{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"ScienComp"},{"_id":"PreCl"},{"_id":"M-Shop"},{"_id":"E-Lib"}],"date_updated":"2026-04-28T13:33:34Z","project":[{"name":"Studying Organelle Structure and Function at Nanoscale Resolution with Expansion Microscopy","grant_number":"26137","_id":"6285a163-2b32-11ec-9570-8e204ca2dba5"},{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","name":"International IST Doctoral Program","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","grant_number":"W1232-B24","_id":"26AA4EF2-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"}],"external_id":{"isi":["001483477000001"],"pmid":["40335689"]},"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."}],"type":"journal_article","month":"06","file_date_updated":"2025-07-03T06:55:20Z","corr_author":"1","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).","publication_identifier":{"issn":["0028-0836"],"eissn":["1476-4687"]},"department":[{"_id":"JoDa"},{"_id":"GradSch"},{"_id":"Bio"},{"_id":"GaNo"}],"article_processing_charge":"Yes (via OA deal)","date_created":"2025-05-18T22:02:51Z","oa_version":"Published Version","doi":"10.1038/s41586-025-08985-1","title":"Light-microscopy-based connectomic reconstruction of mammalian brain tissue","language":[{"iso":"eng"}],"pmid":1,"publication_status":"published","intvolume":"       642","_id":"19704","related_material":{"link":[{"description":"News on ISTA website","url":"https://ista.ac.at/en/news/piecing-together-the-brain-puzzle/","relation":"press_release"}],"record":[{"relation":"earlier_version","id":"18677","status":"public"},{"relation":"research_data","id":"18697","status":"public"}]},"isi":1,"date_published":"2025-06-12T00:00:00Z"},{"file":[{"date_created":"2025-01-09T07:48:01Z","success":1,"access_level":"open_access","date_updated":"2025-01-09T07:48:01Z","content_type":"application/pdf","checksum":"57d5fafb16f02dcb9f7dddb1bd7e2a71","file_size":26065165,"file_id":"18784","relation":"main_file","file_name":"2024_NatureBiotech_Michalska.pdf","creator":"dernst"}],"publisher":"Springer Nature","scopus_import":"1","ec_funded":1,"has_accepted_license":"1","status":"public","publication":"Nature Biotechnology","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>","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>","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.","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>.","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.","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.","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>."},"OA_type":"hybrid","page":"1051-1064","ddc":["570"],"author":[{"last_name":"Michalska","first_name":"Julia M","full_name":"Michalska, Julia M","id":"443DB6DE-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-3862-1235"},{"last_name":"Lyudchik","first_name":"Julia","full_name":"Lyudchik, Julia","id":"46E28B80-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Velicky, Philipp","last_name":"Velicky","first_name":"Philipp","id":"39BDC62C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-2340-7431"},{"id":"ee3cb6ca-ec98-11ea-ae11-ff703e2254ed","last_name":"Korinkova","first_name":"Hana","full_name":"Korinkova, Hana"},{"orcid":"0000-0002-8698-3823","id":"63836096-4690-11EA-BD4E-32803DDC885E","full_name":"Watson, Jake","first_name":"Jake","last_name":"Watson"},{"id":"9ac8f577-2357-11eb-997a-e566c5550886","full_name":"Cenameri, Alban","last_name":"Cenameri","first_name":"Alban"},{"full_name":"Sommer, Christoph M","first_name":"Christoph M","last_name":"Sommer","orcid":"0000-0003-1216-9105","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87"},{"id":"4CD6AAC6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-3183-8207","first_name":"Nicole","last_name":"Amberg","full_name":"Amberg, Nicole"},{"orcid":"0000-0003-2356-9403","id":"41CB84B2-F248-11E8-B48F-1D18A9856A87","last_name":"Venturino","first_name":"Alessandro","full_name":"Venturino, Alessandro"},{"last_name":"Roessler","first_name":"Karl","full_name":"Roessler, Karl"},{"first_name":"Thomas","last_name":"Czech","full_name":"Czech, Thomas"},{"full_name":"Höftberger, Romana","first_name":"Romana","last_name":"Höftberger"},{"orcid":"0000-0001-8635-0877","id":"36ACD32E-F248-11E8-B48F-1D18A9856A87","full_name":"Siegert, Sandra","first_name":"Sandra","last_name":"Siegert"},{"id":"3E57A680-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7673-7178","full_name":"Novarino, Gaia","last_name":"Novarino","first_name":"Gaia"},{"first_name":"Peter M","last_name":"Jonas","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804","id":"353C1B58-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0001-8559-3973","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","full_name":"Danzl, Johann G","last_name":"Danzl","first_name":"Johann G"}],"year":"2024","date_updated":"2026-04-14T08:34:35Z","acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"Bio"},{"_id":"PreCl"},{"_id":"LifeSc"},{"_id":"M-Shop"},{"_id":"E-Lib"}],"article_type":"original","quality_controlled":"1","oa":1,"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"day":"01","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","OA_place":"publisher","volume":42,"language":[{"iso":"eng"}],"intvolume":"        42","publication_status":"published","pmid":1,"_id":"14257","related_material":{"link":[{"url":"https://github.com/danzllab/CATS","relation":"software"}],"record":[{"id":"18660","relation":"dissertation_contains","status":"deleted"},{"relation":"research_data","id":"13126","status":"public"},{"status":"public","id":"18674","relation":"dissertation_contains"}]},"isi":1,"date_published":"2024-07-01T00:00:00Z","type":"journal_article","month":"07","file_date_updated":"2025-01-09T07:48:01Z","abstract":[{"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.","lang":"eng"}],"external_id":{"isi":["001065254200001"],"pmid":["37653226"]},"project":[{"call_identifier":"FWF","grant_number":"I03600","name":"Optical control of synaptic function via adhesion molecules","_id":"265CB4D0-B435-11E9-9278-68D0E5697425"},{"call_identifier":"FWF","name":"Molecular Drug Targets","grant_number":"W1232","_id":"2548AE96-B435-11E9-9278-68D0E5697425"},{"call_identifier":"FWF","_id":"25C5A090-B435-11E9-9278-68D0E5697425","grant_number":"Z00312","name":"Synaptic communication in neuronal microcircuits"},{"_id":"23889792-32DE-11EA-91FC-C7463DDC885E","name":"High content imaging to decode human immune cell interactions in health and allergic disease","grant_number":"LS18-022"},{"_id":"25444568-B435-11E9-9278-68D0E5697425","name":"Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo and in vitro Models","grant_number":"715508","call_identifier":"H2020"},{"call_identifier":"H2020","name":"Biophysics and circuit function of a giant cortical glutamatergic synapse","grant_number":"692692","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425"},{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385","name":"International IST Doctoral Program","call_identifier":"H2020"},{"call_identifier":"H2020","grant_number":"101026635","name":"Synaptic computations of the hippocampal CA3 circuitry","_id":"fc2be41b-9c52-11eb-aca3-faa90aa144e9"}],"publication_identifier":{"issn":["1087-0156"],"eissn":["1546-1696"]},"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.).","corr_author":"1","department":[{"_id":"SaSi"},{"_id":"GaNo"},{"_id":"PeJo"},{"_id":"JoDa"},{"_id":"Bio"},{"_id":"RySh"}],"title":"Imaging brain tissue architecture across millimeter to nanometer scales","oa_version":"Published Version","doi":"10.1038/s41587-023-01911-8","date_created":"2023-09-03T22:01:15Z","article_processing_charge":"Yes (in subscription journal)"},{"project":[{"_id":"6285a163-2b32-11ec-9570-8e204ca2dba5","grant_number":"26137","name":"Studying Organelle Structure and Function at Nanoscale Resolution with Expansion Microscopy"},{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385","name":"International IST Doctoral Program","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"},{"call_identifier":"FWF","name":"Molecular Drug Targets","grant_number":"W1232-B24","_id":"26AA4EF2-B435-11E9-9278-68D0E5697425"}],"month":"07","type":"preprint","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"}],"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","corr_author":"1","department":[{"_id":"GaNo"},{"_id":"JoDa"}],"doi":"10.1101/2024.03.01.582884","date_created":"2024-12-18T14:48:24Z","oa_version":"Preprint","main_file_link":[{"url":"https://doi.org/10.1101/2024.03.01.582884","open_access":"1"}],"article_processing_charge":"No","title":"Light-microscopy based dense connectomic reconstruction of mammalian brain tissue","language":[{"iso":"eng"}],"publication_status":"draft","_id":"18677","related_material":{"record":[{"relation":"dissertation_contains","id":"18681","status":"public"},{"id":"18674","relation":"dissertation_contains","status":"public"},{"status":"public","id":"19704","relation":"later_version"}]},"date_published":"2024-07-08T00:00:00Z","oa":1,"tmp":{"name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","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"},"OA_place":"repository","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","day":"08","ec_funded":1,"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>","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>","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>. .","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.).","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>.","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>."},"publication":"bioRxiv","status":"public","author":[{"first_name":"Mojtaba","last_name":"Tavakoli","full_name":"Tavakoli, Mojtaba","id":"3A0A06F4-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7667-6854"},{"id":"46E28B80-F248-11E8-B48F-1D18A9856A87","full_name":"Lyudchik, Julia","last_name":"Lyudchik","first_name":"Julia"},{"full_name":"Januszewski, Michał","first_name":"Michał","last_name":"Januszewski"},{"last_name":"Vistunou","first_name":"Vitali","full_name":"Vistunou, Vitali","id":"7e146587-8972-11ed-ae7b-d7a32ea86a81"},{"id":"40E7F008-F248-11E8-B48F-1D18A9856A87","first_name":"Nathalie","last_name":"Agudelo Duenas","full_name":"Agudelo Duenas, Nathalie"},{"id":"937696FA-C996-11E9-8C7C-CF13E6697425","orcid":"0009-0000-7590-3501","first_name":"Jakob","last_name":"Vorlaufer","full_name":"Vorlaufer, Jakob"},{"orcid":"0000-0003-1216-9105","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","full_name":"Sommer, Christoph M","last_name":"Sommer","first_name":"Christoph M"},{"first_name":"Caroline","last_name":"Kreuzinger","full_name":"Kreuzinger, Caroline","id":"382077BA-F248-11E8-B48F-1D18A9856A87"},{"id":"3B03AA1A-F248-11E8-B48F-1D18A9856A87","full_name":"Oliveira, Bárbara","first_name":"Bárbara","last_name":"Oliveira"},{"full_name":"Cenameri, Alban","last_name":"Cenameri","first_name":"Alban","id":"9ac8f577-2357-11eb-997a-e566c5550886"},{"id":"3E57A680-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7673-7178","full_name":"Novarino, Gaia","first_name":"Gaia","last_name":"Novarino"},{"first_name":"Viren","last_name":"Jain","full_name":"Jain, Viren"},{"orcid":"0000-0001-8559-3973","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","full_name":"Danzl, Johann G","last_name":"Danzl","first_name":"Johann G"}],"year":"2024","acknowledged_ssus":[{"_id":"E-Lib"},{"_id":"M-Shop"},{"_id":"LifeSc"},{"_id":"Bio"},{"_id":"ScienComp"}],"date_updated":"2026-04-28T13:33:34Z"},{"pmid":1,"publication_status":"published","intvolume":"        20","language":[{"iso":"eng"}],"date_published":"2023-08-01T00:00:00Z","related_material":{"link":[{"url":"https://github.com/danzllab/LIONESS","relation":"software"}],"record":[{"relation":"research_data","id":"12817","status":"public"},{"relation":"shorter_version","id":"14770","status":"public"},{"status":"public","id":"11943","relation":"earlier_version"},{"id":"18674","relation":"dissertation_contains","status":"public"}]},"_id":"13267","isi":1,"corr_author":"1","acknowledgement":"We thank J. Vorlaufer, N. Agudelo and A. Wartak for microscope maintenance and troubleshooting, C. Kreuzinger and A. Freeman for technical assistance, M. Šuplata for hardware control support and M. Cunha dos Santos for initial exploration of software. We\r\nthank P. Henderson for advice on deep-learning training and M. Sixt, S. Boyd and T. Weiss for discussions and critical reading of the manuscript. L. Lavis (Janelia Research Campus) generously provided the JF585-HaloTag ligand. We acknowledge expert support by IST\r\nAustria’s scientific computing, imaging and optics, preclinical, library and laboratory support facilities and by the Miba machine shop. We gratefully acknowledge funding by the following sources: Austrian Science Fund (F.W.F.) grant no. I3600-B27 (J.G.D.), grant no. DK W1232\r\n(J.G.D. and J.M.M.) and grant no. Z 312-B27, Wittgenstein award (P.J.); the Gesellschaft für Forschungsförderung NÖ grant no. LSC18-022 (J.G.D.); an ISTA Interdisciplinary project grant (J.G.D. and B.B.); the European Union’s Horizon 2020 research and innovation programme,\r\nMarie-Skłodowska Curie grant 665385 (J.M.M. and J.L.); the European Union’s Horizon 2020 research and innovation programme, European Research Council grant no. 715767, MATERIALIZABLE (B.B.); grant no. 715508, REVERSEAUTISM (G.N.); grant no. 695568, SYNNOVATE (S.G.N.G.); and grant no. 692692, GIANTSYN (P.J.); the Simons\r\nFoundation Autism Research Initiative grant no. 529085 (S.G.N.G.); the Wellcome Trust Technology Development grant no. 202932 (S.G.N.G.); the Marie Skłodowska-Curie Actions Individual Fellowship no. 101026635 under the EU Horizon 2020 program (J.F.W.);\r\nthe Human Frontier Science Program postdoctoral fellowship LT000557/2018 (W.J.); and the National Science Foundation grant no. IIS-1835231 (H.P.) and NCS-FO-2124179 (H.P.).","publication_identifier":{"eissn":["1548-7105"],"issn":["1548-7091"]},"project":[{"name":"Optical control of synaptic function via adhesion molecules","grant_number":"I03600","_id":"265CB4D0-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"},{"grant_number":"W1232","name":"Molecular Drug Targets","_id":"2548AE96-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"},{"_id":"25C5A090-B435-11E9-9278-68D0E5697425","name":"Synaptic communication in neuronal microcircuits","grant_number":"Z00312","call_identifier":"FWF"},{"grant_number":"LS18-022","name":"High content imaging to decode human immune cell interactions in health and allergic disease","_id":"23889792-32DE-11EA-91FC-C7463DDC885E"},{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","name":"International IST Doctoral Program","grant_number":"665385","call_identifier":"H2020"},{"grant_number":"715767","name":"MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and Modeling","_id":"24F9549A-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"},{"_id":"25444568-B435-11E9-9278-68D0E5697425","name":"Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo and in vitro Models","grant_number":"715508","call_identifier":"H2020"},{"call_identifier":"H2020","name":"Biophysics and circuit function of a giant cortical glutamatergic synapse","grant_number":"692692","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425"},{"call_identifier":"H2020","_id":"fc2be41b-9c52-11eb-aca3-faa90aa144e9","name":"Synaptic computations of the hippocampal CA3 circuitry","grant_number":"101026635"},{"grant_number":"LT00057","name":"High-speed 3D-nanoscopy to study the role of adhesion during 3D cell migration","_id":"2668BFA0-B435-11E9-9278-68D0E5697425"}],"external_id":{"pmid":["37429995"],"isi":["001025621500001"]},"abstract":[{"text":"Three-dimensional (3D) reconstruction of living brain tissue down to an individual synapse level would create opportunities for decoding the dynamics and structure–function relationships of the brain’s complex and dense information processing network; however, this 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). This leverages optical modifications to stimulated emission depletion microscopy in comprehensively, extracellularly labeled tissue and previous 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 a synapse level, incorporating molecular, activity and morphodynamic information. LIONESS opens up avenues for studying the dynamic functional (nano-)architecture of living brain tissue.","lang":"eng"}],"type":"journal_article","month":"08","file_date_updated":"2025-02-26T08:01:57Z","article_processing_charge":"Yes (in subscription journal)","date_created":"2023-07-23T22:01:13Z","doi":"10.1038/s41592-023-01936-6","oa_version":"Published Version","title":"Dense 4D nanoscale reconstruction of living brain tissue","department":[{"_id":"PeJo"},{"_id":"GaNo"},{"_id":"BeBi"},{"_id":"JoDa"},{"_id":"Bio"}],"citation":{"ieee":"P. Velicky <i>et al.</i>, “Dense 4D nanoscale reconstruction of living brain tissue,” <i>Nature Methods</i>, vol. 20. Springer Nature, pp. 1256–1265, 2023.","ama":"Velicky P, Miguel Villalba E, Michalska JM, et al. Dense 4D nanoscale reconstruction of living brain tissue. <i>Nature Methods</i>. 2023;20:1256-1265. doi:<a href=\"https://doi.org/10.1038/s41592-023-01936-6\">10.1038/s41592-023-01936-6</a>","apa":"Velicky, P., Miguel Villalba, E., Michalska, J. M., Lyudchik, J., Wei, D., Lin, Z., … Danzl, J. G. (2023). Dense 4D nanoscale reconstruction of living brain tissue. <i>Nature Methods</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41592-023-01936-6\">https://doi.org/10.1038/s41592-023-01936-6</a>","mla":"Velicky, Philipp, et al. “Dense 4D Nanoscale Reconstruction of Living Brain Tissue.” <i>Nature Methods</i>, vol. 20, Springer Nature, 2023, pp. 1256–65, doi:<a href=\"https://doi.org/10.1038/s41592-023-01936-6\">10.1038/s41592-023-01936-6</a>.","ista":"Velicky P, Miguel Villalba E, Michalska JM, Lyudchik J, Wei D, Lin Z, Watson J, Troidl J, Beyer J, Ben Simon Y, Sommer CM, Jahr W, Cenameri A, Broichhagen J, Grant SGN, Jonas PM, Novarino G, Pfister H, Bickel B, Danzl JG. 2023. Dense 4D nanoscale reconstruction of living brain tissue. Nature Methods. 20, 1256–1265.","short":"P. Velicky, E. Miguel Villalba, J.M. Michalska, J. Lyudchik, D. Wei, Z. Lin, J. Watson, J. Troidl, J. Beyer, Y. Ben Simon, C.M. Sommer, W. Jahr, A. Cenameri, J. Broichhagen, S.G.N. Grant, P.M. Jonas, G. Novarino, H. Pfister, B. Bickel, J.G. Danzl, Nature Methods 20 (2023) 1256–1265.","chicago":"Velicky, Philipp, Eder Miguel Villalba, Julia M Michalska, Julia Lyudchik, Donglai Wei, Zudi Lin, Jake Watson, et al. “Dense 4D Nanoscale Reconstruction of Living Brain Tissue.” <i>Nature Methods</i>. Springer Nature, 2023. <a href=\"https://doi.org/10.1038/s41592-023-01936-6\">https://doi.org/10.1038/s41592-023-01936-6</a>."},"ddc":["570"],"page":"1256-1265","OA_type":"hybrid","status":"public","publication":"Nature Methods","ec_funded":1,"scopus_import":"1","has_accepted_license":"1","publisher":"Springer Nature","file":[{"file_id":"19088","relation":"main_file","file_name":"2023_NatureMethods_Velicky.pdf","creator":"dernst","content_type":"application/pdf","file_size":14103039,"checksum":"a68e845780a82ea36d0d4d3212a87c10","date_created":"2025-02-26T08:01:57Z","success":1,"access_level":"open_access","date_updated":"2025-02-26T08:01:57Z"}],"acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"Bio"},{"_id":"PreCl"},{"_id":"E-Lib"},{"_id":"LifeSc"},{"_id":"M-Shop"}],"date_updated":"2026-04-07T12:58:30Z","year":"2023","author":[{"last_name":"Velicky","first_name":"Philipp","full_name":"Velicky, Philipp","orcid":"0000-0002-2340-7431","id":"39BDC62C-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0001-5665-0430","id":"3FB91342-F248-11E8-B48F-1D18A9856A87","first_name":"Eder","last_name":"Miguel Villalba","full_name":"Miguel Villalba, Eder"},{"orcid":"0000-0003-3862-1235","id":"443DB6DE-F248-11E8-B48F-1D18A9856A87","full_name":"Michalska, Julia M","first_name":"Julia M","last_name":"Michalska"},{"id":"46E28B80-F248-11E8-B48F-1D18A9856A87","full_name":"Lyudchik, Julia","last_name":"Lyudchik","first_name":"Julia"},{"full_name":"Wei, Donglai","last_name":"Wei","first_name":"Donglai"},{"full_name":"Lin, Zudi","first_name":"Zudi","last_name":"Lin"},{"orcid":"0000-0002-8698-3823","id":"63836096-4690-11EA-BD4E-32803DDC885E","full_name":"Watson, Jake","last_name":"Watson","first_name":"Jake"},{"first_name":"Jakob","last_name":"Troidl","full_name":"Troidl, Jakob"},{"last_name":"Beyer","first_name":"Johanna","full_name":"Beyer, Johanna"},{"full_name":"Ben Simon, Yoav","first_name":"Yoav","last_name":"Ben Simon","id":"43DF3136-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0003-1216-9105","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","last_name":"Sommer","first_name":"Christoph M","full_name":"Sommer, Christoph M"},{"first_name":"Wiebke","last_name":"Jahr","full_name":"Jahr, Wiebke","id":"425C1CE8-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-0201-2315"},{"id":"9ac8f577-2357-11eb-997a-e566c5550886","last_name":"Cenameri","first_name":"Alban","full_name":"Cenameri, Alban"},{"first_name":"Johannes","last_name":"Broichhagen","full_name":"Broichhagen, Johannes"},{"first_name":"Seth G.N.","last_name":"Grant","full_name":"Grant, Seth G.N."},{"id":"353C1B58-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M","first_name":"Peter M","last_name":"Jonas"},{"orcid":"0000-0002-7673-7178","id":"3E57A680-F248-11E8-B48F-1D18A9856A87","first_name":"Gaia","last_name":"Novarino","full_name":"Novarino, Gaia"},{"last_name":"Pfister","first_name":"Hanspeter","full_name":"Pfister, Hanspeter"},{"first_name":"Bernd","last_name":"Bickel","full_name":"Bickel, Bernd","id":"49876194-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-6511-9385"},{"last_name":"Danzl","first_name":"Johann G","full_name":"Danzl, Johann G","orcid":"0000-0001-8559-3973","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87"}],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"oa":1,"quality_controlled":"1","article_type":"original","volume":20,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","OA_place":"publisher","day":"01"},{"corr_author":"1","type":"preprint","month":"05","abstract":[{"lang":"eng","text":"Complex wiring between neurons underlies the information-processing network enabling all brain functions, including cognition and memory. For understanding how the network is structured, processes information, and changes over time, comprehensive visualization of the architecture of living brain tissue with its cellular and molecular components would open up major opportunities. However, electron microscopy (EM) provides nanometre-scale resolution required for full <jats:italic>in-silico</jats:italic> reconstruction<jats:sup>1–5</jats:sup>, yet is limited to fixed specimens and static representations. Light microscopy allows live observation, with super-resolution approaches<jats:sup>6–12</jats:sup> facilitating nanoscale visualization, but comprehensive 3D-reconstruction of living brain tissue has been hindered by tissue photo-burden, photobleaching, insufficient 3D-resolution, and inadequate signal-to-noise ratio (SNR). Here we demonstrate saturated reconstruction of living brain tissue. We developed an integrated imaging and analysis technology, adapting stimulated emission depletion (STED) microscopy<jats:sup>6,13</jats:sup> in extracellularly labelled tissue<jats:sup>14</jats:sup> for high SNR and near-isotropic resolution. Centrally, a two-stage deep-learning approach leveraged previously obtained information on sample structure to drastically reduce photo-burden and enable automated volumetric reconstruction down to single synapse level. Live reconstruction provides unbiased analysis of tissue architecture across time in relation to functional activity and targeted activation, and contextual understanding of molecular labelling. This adoptable technology will facilitate novel insights into the dynamic functional architecture of living brain tissue."}],"oa":1,"title":"Saturated reconstruction of living brain tissue","doi":"10.1101/2022.03.16.484431","oa_version":"Preprint","date_created":"2022-08-23T11:07:59Z","main_file_link":[{"url":"https://doi.org/10.1101/2022.03.16.484431","open_access":"1"}],"article_processing_charge":"No","day":"09","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","OA_place":"repository","department":[{"_id":"PeJo"},{"_id":"GaNo"},{"_id":"BeBi"},{"_id":"JoDa"}],"publication":"bioRxiv","status":"public","publication_status":"draft","citation":{"ista":"Velicky P, Miguel Villalba E, Michalska JM, Wei D, Lin Z, Watson J, Troidl J, Beyer J, Ben Simon Y, Sommer CM, Jahr W, Cenameri A, Broichhagen J, Grant SGN, Jonas PM, Novarino G, Pfister H, Bickel B, Danzl JG. Saturated reconstruction of living brain tissue. bioRxiv, <a href=\"https://doi.org/10.1101/2022.03.16.484431\">10.1101/2022.03.16.484431</a>.","short":"P. Velicky, E. Miguel Villalba, J.M. Michalska, D. Wei, Z. Lin, J. Watson, J. Troidl, J. Beyer, Y. Ben Simon, C.M. Sommer, W. Jahr, A. Cenameri, J. Broichhagen, S.G.N. Grant, P.M. Jonas, G. Novarino, H. Pfister, B. Bickel, J.G. Danzl, BioRxiv (n.d.).","chicago":"Velicky, Philipp, Eder Miguel Villalba, Julia M Michalska, Donglai Wei, Zudi Lin, Jake Watson, Jakob Troidl, et al. “Saturated Reconstruction of Living Brain Tissue.” <i>BioRxiv</i>. Cold Spring Harbor Laboratory, n.d. <a href=\"https://doi.org/10.1101/2022.03.16.484431\">https://doi.org/10.1101/2022.03.16.484431</a>.","ama":"Velicky P, Miguel Villalba E, Michalska JM, et al. Saturated reconstruction of living brain tissue. <i>bioRxiv</i>. doi:<a href=\"https://doi.org/10.1101/2022.03.16.484431\">10.1101/2022.03.16.484431</a>","ieee":"P. Velicky <i>et al.</i>, “Saturated reconstruction of living brain tissue,” <i>bioRxiv</i>. Cold Spring Harbor Laboratory.","mla":"Velicky, Philipp, et al. “Saturated Reconstruction of Living Brain Tissue.” <i>BioRxiv</i>, Cold Spring Harbor Laboratory, doi:<a href=\"https://doi.org/10.1101/2022.03.16.484431\">10.1101/2022.03.16.484431</a>.","apa":"Velicky, P., Miguel Villalba, E., Michalska, J. M., Wei, D., Lin, Z., Watson, J., … Danzl, J. G. (n.d.). Saturated reconstruction of living brain tissue. <i>bioRxiv</i>. Cold Spring Harbor Laboratory. <a href=\"https://doi.org/10.1101/2022.03.16.484431\">https://doi.org/10.1101/2022.03.16.484431</a>"},"publisher":"Cold Spring Harbor Laboratory","language":[{"iso":"eng"}],"date_updated":"2026-04-29T22:30:34Z","date_published":"2022-05-09T00:00:00Z","_id":"11943","related_material":{"record":[{"status":"public","relation":"later_version","id":"13267"},{"relation":"dissertation_contains","id":"12470","status":"public"}]},"author":[{"id":"39BDC62C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-2340-7431","full_name":"Velicky, Philipp","first_name":"Philipp","last_name":"Velicky"},{"orcid":"0000-0001-5665-0430","id":"3FB91342-F248-11E8-B48F-1D18A9856A87","full_name":"Miguel Villalba, Eder","last_name":"Miguel Villalba","first_name":"Eder"},{"orcid":"0000-0003-3862-1235","id":"443DB6DE-F248-11E8-B48F-1D18A9856A87","full_name":"Michalska, Julia M","last_name":"Michalska","first_name":"Julia M"},{"full_name":"Wei, Donglai","last_name":"Wei","first_name":"Donglai"},{"full_name":"Lin, Zudi","last_name":"Lin","first_name":"Zudi"},{"id":"63836096-4690-11EA-BD4E-32803DDC885E","orcid":"0000-0002-8698-3823","first_name":"Jake","last_name":"Watson","full_name":"Watson, Jake"},{"full_name":"Troidl, Jakob","last_name":"Troidl","first_name":"Jakob"},{"first_name":"Johanna","last_name":"Beyer","full_name":"Beyer, Johanna"},{"last_name":"Ben Simon","first_name":"Yoav","full_name":"Ben Simon, Yoav","id":"43DF3136-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Sommer, Christoph M","first_name":"Christoph M","last_name":"Sommer","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-1216-9105"},{"orcid":"0000-0003-0201-2315","id":"425C1CE8-F248-11E8-B48F-1D18A9856A87","first_name":"Wiebke","last_name":"Jahr","full_name":"Jahr, Wiebke"},{"id":"9ac8f577-2357-11eb-997a-e566c5550886","full_name":"Cenameri, Alban","last_name":"Cenameri","first_name":"Alban"},{"first_name":"Johannes","last_name":"Broichhagen","full_name":"Broichhagen, Johannes"},{"first_name":"Seth G. N.","last_name":"Grant","full_name":"Grant, Seth G. N."},{"id":"353C1B58-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M","last_name":"Jonas","first_name":"Peter M"},{"id":"3E57A680-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7673-7178","last_name":"Novarino","first_name":"Gaia","full_name":"Novarino, Gaia"},{"full_name":"Pfister, Hanspeter","last_name":"Pfister","first_name":"Hanspeter"},{"orcid":"0000-0001-6511-9385","id":"49876194-F248-11E8-B48F-1D18A9856A87","full_name":"Bickel, Bernd","last_name":"Bickel","first_name":"Bernd"},{"id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8559-3973","full_name":"Danzl, Johann G","last_name":"Danzl","first_name":"Johann G"}],"year":"2022"},{"related_material":{"record":[{"status":"public","id":"12470","relation":"dissertation_contains"}]},"_id":"11950","author":[{"id":"443DB6DE-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-3862-1235","full_name":"Michalska, Julia M","last_name":"Michalska","first_name":"Julia M"},{"full_name":"Lyudchik, Julia","first_name":"Julia","last_name":"Lyudchik","id":"46E28B80-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Velicky, Philipp","last_name":"Velicky","first_name":"Philipp","id":"39BDC62C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-2340-7431"},{"full_name":"Korinkova, Hana","first_name":"Hana","last_name":"Korinkova","id":"ee3cb6ca-ec98-11ea-ae11-ff703e2254ed"},{"last_name":"Watson","first_name":"Jake","full_name":"Watson, Jake","orcid":"0000-0002-8698-3823","id":"63836096-4690-11EA-BD4E-32803DDC885E"},{"id":"9ac8f577-2357-11eb-997a-e566c5550886","full_name":"Cenameri, Alban","last_name":"Cenameri","first_name":"Alban"},{"last_name":"Sommer","first_name":"Christoph M","full_name":"Sommer, Christoph M","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-1216-9105"},{"id":"41CB84B2-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2356-9403","first_name":"Alessandro","last_name":"Venturino","full_name":"Venturino, Alessandro"},{"full_name":"Roessler, Karl","first_name":"Karl","last_name":"Roessler"},{"full_name":"Czech, Thomas","first_name":"Thomas","last_name":"Czech"},{"first_name":"Sandra","last_name":"Siegert","full_name":"Siegert, Sandra","orcid":"0000-0001-8635-0877","id":"36ACD32E-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Novarino, Gaia","first_name":"Gaia","last_name":"Novarino","id":"3E57A680-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7673-7178"},{"full_name":"Jonas, Peter M","last_name":"Jonas","first_name":"Peter M","orcid":"0000-0001-5001-4804","id":"353C1B58-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Danzl","first_name":"Johann G","full_name":"Danzl, Johann G","orcid":"0000-0001-8559-3973","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87"}],"year":"2022","date_updated":"2026-04-29T22:30:34Z","date_published":"2022-08-18T00:00:00Z","publisher":"Cold Spring Harbor Laboratory","language":[{"iso":"eng"}],"publication":"bioRxiv","status":"public","publication_status":"draft","citation":{"ieee":"J. M. Michalska <i>et al.</i>, “Uncovering brain tissue architecture across scales with super-resolution light microscopy,” <i>bioRxiv</i>. Cold Spring Harbor Laboratory.","ama":"Michalska JM, Lyudchik J, Velicky P, et al. Uncovering brain tissue architecture across scales with super-resolution light microscopy. <i>bioRxiv</i>. doi:<a href=\"https://doi.org/10.1101/2022.08.17.504272\">10.1101/2022.08.17.504272</a>","apa":"Michalska, J. M., Lyudchik, J., Velicky, P., Korinkova, H., Watson, J., Cenameri, A., … Danzl, J. G. (n.d.). Uncovering brain tissue architecture across scales with super-resolution light microscopy. <i>bioRxiv</i>. Cold Spring Harbor Laboratory. <a href=\"https://doi.org/10.1101/2022.08.17.504272\">https://doi.org/10.1101/2022.08.17.504272</a>","mla":"Michalska, Julia M., et al. “Uncovering Brain Tissue Architecture across Scales with Super-Resolution Light Microscopy.” <i>BioRxiv</i>, Cold Spring Harbor Laboratory, doi:<a href=\"https://doi.org/10.1101/2022.08.17.504272\">10.1101/2022.08.17.504272</a>.","short":"J.M. Michalska, J. Lyudchik, P. Velicky, H. Korinkova, J. Watson, A. Cenameri, C.M. Sommer, A. Venturino, K. Roessler, T. Czech, S. Siegert, G. Novarino, P.M. Jonas, J.G. Danzl, BioRxiv (n.d.).","ista":"Michalska JM, Lyudchik J, Velicky P, Korinkova H, Watson J, Cenameri A, Sommer CM, Venturino A, Roessler K, Czech T, Siegert S, Novarino G, Jonas PM, Danzl JG. Uncovering brain tissue architecture across scales with super-resolution light microscopy. bioRxiv, <a href=\"https://doi.org/10.1101/2022.08.17.504272\">10.1101/2022.08.17.504272</a>.","chicago":"Michalska, Julia M, Julia Lyudchik, Philipp Velicky, Hana Korinkova, Jake Watson, Alban Cenameri, Christoph M Sommer, et al. “Uncovering Brain Tissue Architecture across Scales with Super-Resolution Light Microscopy.” <i>BioRxiv</i>. Cold Spring Harbor Laboratory, n.d. <a href=\"https://doi.org/10.1101/2022.08.17.504272\">https://doi.org/10.1101/2022.08.17.504272</a>."},"day":"18","department":[{"_id":"SaSi"},{"_id":"GaNo"},{"_id":"PeJo"},{"_id":"JoDa"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","title":"Uncovering brain tissue architecture across scales with super-resolution light microscopy","doi":"10.1101/2022.08.17.504272","date_created":"2022-08-24T08:24:52Z","oa_version":"Preprint","article_processing_charge":"No","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1101/2022.08.17.504272"}],"type":"preprint","month":"08","abstract":[{"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 nanoscopic synaptic scales in diverse chemically fixed brain preparations, including rodent and human. CATS leverages fixation-compatible extracellular labeling and advanced optical readout, in particular stimulated-emission depletion and expansion microscopy, to comprehensively delineate cellular structures. It enables 3D-reconstructing single synapses and mapping synaptic connectivity by identification and tailored analysis of putative synaptic cleft regions. Applying CATS to the hippocampal mossy fiber circuitry, we demonstrate its power to reveal the system’s molecularly informed ultrastructure across spatial scales and assess local connectivity by reconstructing and quantifying the synaptic input and output structure of identified neurons.","lang":"eng"}],"oa":1,"corr_author":"1"}]