[{"OA_place":"publisher","doi":"10.1038/s41587-023-01911-8","title":"Imaging brain tissue architecture across millimeter to nanometer scales","acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"Bio"},{"_id":"PreCl"},{"_id":"LifeSc"},{"_id":"M-Shop"},{"_id":"E-Lib"}],"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":{"pmid":["37653226"],"isi":["001065254200001"]},"scopus_import":"1","date_updated":"2026-04-14T08:34:35Z","publication_status":"published","language":[{"iso":"eng"}],"oa_version":"Published Version","oa":1,"intvolume":"        42","month":"07","ddc":["570"],"isi":1,"corr_author":"1","date_created":"2023-09-03T22:01:15Z","publication":"Nature Biotechnology","page":"1051-1064","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.).","status":"public","ec_funded":1,"license":"https://creativecommons.org/licenses/by/4.0/","file":[{"content_type":"application/pdf","file_name":"2024_NatureBiotech_Michalska.pdf","checksum":"57d5fafb16f02dcb9f7dddb1bd7e2a71","creator":"dernst","success":1,"file_id":"18784","relation":"main_file","access_level":"open_access","date_updated":"2025-01-09T07:48:01Z","file_size":26065165,"date_created":"2025-01-09T07:48:01Z"}],"volume":42,"file_date_updated":"2025-01-09T07:48:01Z","publisher":"Springer Nature","_id":"14257","article_processing_charge":"Yes (in subscription journal)","author":[{"full_name":"Michalska, Julia M","last_name":"Michalska","first_name":"Julia M","id":"443DB6DE-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-3862-1235"},{"full_name":"Lyudchik, Julia","last_name":"Lyudchik","first_name":"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","first_name":"Hana","last_name":"Korinkova","full_name":"Korinkova, Hana"},{"first_name":"Jake","id":"63836096-4690-11EA-BD4E-32803DDC885E","orcid":"0000-0002-8698-3823","full_name":"Watson, Jake","last_name":"Watson"},{"full_name":"Cenameri, Alban","last_name":"Cenameri","first_name":"Alban","id":"9ac8f577-2357-11eb-997a-e566c5550886"},{"full_name":"Sommer, Christoph M","last_name":"Sommer","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","first_name":"Christoph M","orcid":"0000-0003-1216-9105"},{"orcid":"0000-0002-3183-8207","id":"4CD6AAC6-F248-11E8-B48F-1D18A9856A87","first_name":"Nicole","last_name":"Amberg","full_name":"Amberg, Nicole"},{"first_name":"Alessandro","id":"41CB84B2-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2356-9403","full_name":"Venturino, Alessandro","last_name":"Venturino"},{"full_name":"Roessler, Karl","last_name":"Roessler","first_name":"Karl"},{"last_name":"Czech","full_name":"Czech, Thomas","first_name":"Thomas"},{"last_name":"Höftberger","full_name":"Höftberger, Romana","first_name":"Romana"},{"full_name":"Siegert, Sandra","last_name":"Siegert","first_name":"Sandra","id":"36ACD32E-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8635-0877"},{"full_name":"Novarino, Gaia","last_name":"Novarino","first_name":"Gaia","id":"3E57A680-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7673-7178"},{"orcid":"0000-0001-5001-4804","first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","last_name":"Jonas","full_name":"Jonas, Peter M"},{"last_name":"Danzl","full_name":"Danzl, Johann G","orcid":"0000-0001-8559-3973","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","first_name":"Johann G"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","department":[{"_id":"SaSi"},{"_id":"GaNo"},{"_id":"PeJo"},{"_id":"JoDa"},{"_id":"Bio"},{"_id":"RySh"}],"date_published":"2024-07-01T00:00:00Z","year":"2024","day":"01","quality_controlled":"1","project":[{"grant_number":"I03600","call_identifier":"FWF","_id":"265CB4D0-B435-11E9-9278-68D0E5697425","name":"Optical control of synaptic function via adhesion molecules"},{"_id":"2548AE96-B435-11E9-9278-68D0E5697425","name":"Molecular Drug Targets","call_identifier":"FWF","grant_number":"W1232"},{"grant_number":"Z00312","name":"Synaptic communication in neuronal microcircuits","_id":"25C5A090-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"},{"_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 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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.","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>.","short":"J.M. Michalska, J. Lyudchik, P. Velicky, H. Korinkova, J. Watson, A. Cenameri, C.M. Sommer, N. Amberg, A. 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Nature Biotechnology. 42, 1051–1064."},"article_type":"original","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"OA_type":"hybrid","related_material":{"record":[{"id":"18660","relation":"dissertation_contains","status":"deleted"},{"id":"13126","relation":"research_data","status":"public"},{"id":"18674","relation":"dissertation_contains","status":"public"}],"link":[{"relation":"software","url":"https://github.com/danzllab/CATS"}]},"has_accepted_license":"1","publication_identifier":{"issn":["1087-0156"],"eissn":["1546-1696"]}},{"tmp":{"short":"CC BY-NC-SA (4.0)","image":"/images/cc_by_nc_sa.png","name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode"},"citation":{"ieee":"J. G. 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M","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0002-3183-8207","first_name":"Nicole","id":"4CD6AAC6-F248-11E8-B48F-1D18A9856A87","last_name":"Amberg"},{"first_name":"Alessandro","id":"41CB84B2-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2356-9403","last_name":"Venturino"},{"last_name":"Roessler","first_name":"Karl"},{"first_name":"Thomas","last_name":"Czech"},{"last_name":"Höftberger","first_name":"Romana"},{"orcid":"0000-0001-8635-0877","first_name":"Sandra","id":"36ACD32E-F248-11E8-B48F-1D18A9856A87","last_name":"Siegert"},{"last_name":"Novarino","first_name":"Gaia","id":"3E57A680-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7673-7178"},{"last_name":"Jonas","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M","orcid":"0000-0001-5001-4804"}],"acknowledgement":"We thank Jakob Vorlaufer, Nathalie Agudelo-Dueñas, Wiebke Jahr, Andreas Wartak for microscope maintenance and troubleshooting, Caroline Kreuzinger, Anna Freeman, and Irene Erber for technical assistance and Matthias Tomschik for support with obtaining human samples. We gratefully acknowledge Eder Miguel for setting up webKnossos and Marek Šuplata for computational support and hardware control. We are grateful to Ryuichi Shigemoto and Bernd Bickel for generous support, and Michael Sixt and Scott Boyd (Stanford University) for discussions and critical reading of the manuscript. PSD95-HaloTag mice were kindly provided by Seth Grant (University of Edinburgh). We acknowledge expert support by IST Austria’s scientific computing, imaging and optics, preclinical, and lab support facilities, and by the Library and Miba machine shop.\r\nWe gratefully acknowledge funding by the following sources: \r\nAustrian Science Fund (FWF) grant I3600-B27 (JGD)\r\nAustrian Science Fund (FWF) grant DK W1232 (JGD, JMM)\r\nAustrian Science Fund (FWF) grant Z 312-B27, Wittgenstein award (PJ)\r\nAustrian Science Funds (FWF) projects I4685-B, I6565-B (SYNABS) and DOC 33-B27 (RH)\r\nGesellschaft für Forschungsförderung NÖ (NFB) grant LSC18-022 (JGD)\r\nEuropean Union’s Horizon 2020 research and innovation programme, European Research Council (ERC) grant 715508 – REVERSEAUTISM (GN)\r\nEuropean Union’s Horizon 2020 research and innovation programme, European Research Council (ERC) grant 692692 – GIANTSYN (PJ)\r\nMarie Skłodowska-Curie Actions Fellowship GA no. 665385 under the EU Horizon 2020 program (JMM, JL)\r\nMarie Skłodowska-Curie Actions Individual Fellowship 101026635 under the EU Horizon 2020 program (JFW)","date_published":"2023-08-04T00:00:00Z","year":"2023","day":"04","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","department":[{"_id":"JoDa"},{"_id":"SaSi"},{"_id":"GaNo"},{"_id":"PeJo"},{"_id":"Bio"},{"_id":"RySh"}],"article_processing_charge":"No","_id":"13126","author":[{"full_name":"Danzl, Johann G","last_name":"Danzl","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","first_name":"Johann G","orcid":"0000-0001-8559-3973"}],"publisher":"Institute of Science and Technology Austria","oa":1,"date_created":"2023-06-07T07:15:12Z","corr_author":"1","month":"08","ddc":["610"],"acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"Bio"},{"_id":"PreCl"},{"_id":"LifeSc"},{"_id":"M-Shop"},{"_id":"E-Lib"}],"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"}],"title":"Research data for the publication \"Imaging brain tissue architecture across millimeter to nanometer scales\"","doi":"10.15479/AT:ISTA:13126","oa_version":"Published Version","date_updated":"2026-04-14T08:34:35Z"},{"type":"journal_article","quality_controlled":"1","project":[{"name":"Optical control of synaptic function via adhesion molecules","_id":"265CB4D0-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","grant_number":"I03600"},{"call_identifier":"FWF","name":"Molecular Drug Targets","_id":"2548AE96-B435-11E9-9278-68D0E5697425","grant_number":"W1232"},{"grant_number":"Z00312","call_identifier":"FWF","_id":"25C5A090-B435-11E9-9278-68D0E5697425","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":"2564DBCA-B435-11E9-9278-68D0E5697425","name":"International IST Doctoral Program","call_identifier":"H2020","grant_number":"665385"},{"_id":"24F9549A-B435-11E9-9278-68D0E5697425","name":"MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and Modeling","call_identifier":"H2020","grant_number":"715767"},{"grant_number":"715508","name":"Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo and in vitro Models","_id":"25444568-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"},{"grant_number":"692692","call_identifier":"H2020","name":"Biophysics and circuit function of a giant cortical glutamatergic synapse","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425"},{"grant_number":"101026635","name":"Synaptic computations of the hippocampal CA3 circuitry","_id":"fc2be41b-9c52-11eb-aca3-faa90aa144e9","call_identifier":"H2020"},{"grant_number":"LT00057","name":"High-speed 3D-nanoscopy to study the role of adhesion during 3D cell migration","_id":"2668BFA0-B435-11E9-9278-68D0E5697425"}],"pmid":1,"citation":{"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>.","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>.","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.","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.","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>","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>","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."},"article_type":"original","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"OA_type":"hybrid","related_material":{"record":[{"relation":"research_data","status":"public","id":"12817"},{"status":"public","relation":"shorter_version","id":"14770"},{"status":"public","relation":"earlier_version","id":"11943"},{"status":"public","relation":"dissertation_contains","id":"18674"}],"link":[{"url":"https://github.com/danzllab/LIONESS","relation":"software"}]},"publication_identifier":{"issn":["1548-7091"],"eissn":["1548-7105"]},"has_accepted_license":"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.).","file":[{"date_updated":"2025-02-26T08:01:57Z","access_level":"open_access","date_created":"2025-02-26T08:01:57Z","file_size":14103039,"success":1,"creator":"dernst","file_name":"2023_NatureMethods_Velicky.pdf","checksum":"a68e845780a82ea36d0d4d3212a87c10","content_type":"application/pdf","relation":"main_file","file_id":"19088"}],"ec_funded":1,"status":"public","volume":20,"file_date_updated":"2025-02-26T08:01:57Z","publisher":"Springer Nature","article_processing_charge":"Yes (in subscription journal)","_id":"13267","author":[{"full_name":"Velicky, Philipp","last_name":"Velicky","first_name":"Philipp","id":"39BDC62C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-2340-7431"},{"full_name":"Miguel Villalba, Eder","last_name":"Miguel Villalba","id":"3FB91342-F248-11E8-B48F-1D18A9856A87","first_name":"Eder","orcid":"0000-0001-5665-0430"},{"last_name":"Michalska","full_name":"Michalska, Julia M","orcid":"0000-0003-3862-1235","id":"443DB6DE-F248-11E8-B48F-1D18A9856A87","first_name":"Julia M"},{"id":"46E28B80-F248-11E8-B48F-1D18A9856A87","first_name":"Julia","last_name":"Lyudchik","full_name":"Lyudchik, Julia"},{"last_name":"Wei","full_name":"Wei, Donglai","first_name":"Donglai"},{"first_name":"Zudi","full_name":"Lin, Zudi","last_name":"Lin"},{"first_name":"Jake","id":"63836096-4690-11EA-BD4E-32803DDC885E","orcid":"0000-0002-8698-3823","full_name":"Watson, Jake","last_name":"Watson"},{"first_name":"Jakob","full_name":"Troidl, Jakob","last_name":"Troidl"},{"first_name":"Johanna","last_name":"Beyer","full_name":"Beyer, Johanna"},{"full_name":"Ben Simon, Yoav","last_name":"Ben Simon","id":"43DF3136-F248-11E8-B48F-1D18A9856A87","first_name":"Yoav"},{"orcid":"0000-0003-1216-9105","first_name":"Christoph M","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","last_name":"Sommer","full_name":"Sommer, Christoph M"},{"full_name":"Jahr, Wiebke","last_name":"Jahr","id":"425C1CE8-F248-11E8-B48F-1D18A9856A87","first_name":"Wiebke","orcid":"0000-0003-0201-2315"},{"last_name":"Cenameri","full_name":"Cenameri, Alban","id":"9ac8f577-2357-11eb-997a-e566c5550886","first_name":"Alban"},{"last_name":"Broichhagen","full_name":"Broichhagen, Johannes","first_name":"Johannes"},{"first_name":"Seth G.N.","full_name":"Grant, Seth G.N.","last_name":"Grant"},{"last_name":"Jonas","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804","first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0002-7673-7178","id":"3E57A680-F248-11E8-B48F-1D18A9856A87","first_name":"Gaia","last_name":"Novarino","full_name":"Novarino, Gaia"},{"first_name":"Hanspeter","full_name":"Pfister, Hanspeter","last_name":"Pfister"},{"orcid":"0000-0001-6511-9385","id":"49876194-F248-11E8-B48F-1D18A9856A87","first_name":"Bernd","last_name":"Bickel","full_name":"Bickel, Bernd"},{"first_name":"Johann G","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8559-3973","full_name":"Danzl, Johann G","last_name":"Danzl"}],"department":[{"_id":"PeJo"},{"_id":"GaNo"},{"_id":"BeBi"},{"_id":"JoDa"},{"_id":"Bio"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","day":"01","year":"2023","date_published":"2023-08-01T00:00:00Z","oa":1,"intvolume":"        20","ddc":["570"],"isi":1,"month":"08","corr_author":"1","publication":"Nature Methods","page":"1256-1265","date_created":"2023-07-23T22:01:13Z","doi":"10.1038/s41592-023-01936-6","OA_place":"publisher","acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"Bio"},{"_id":"PreCl"},{"_id":"E-Lib"},{"_id":"LifeSc"},{"_id":"M-Shop"}],"title":"Dense 4D nanoscale reconstruction of living brain tissue","abstract":[{"lang":"eng","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."}],"external_id":{"pmid":["37429995"],"isi":["001025621500001"]},"scopus_import":"1","publication_status":"published","date_updated":"2026-04-07T12:58:30Z","oa_version":"Published Version","language":[{"iso":"eng"}]}]