[{"project":[{"name":"Spectral rigidity and integrability for billiards and geodesic flows","grant_number":"885707","call_identifier":"H2020","_id":"9B8B92DE-BA93-11EA-9121-9846C619BF3A"}],"ec_funded":1,"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","page":"131","title":"Spectral rigidity and nonrigidity of dynamical systems","department":[{"_id":"GradSch"},{"_id":"VaKa"}],"supervisor":[{"first_name":"Vadim","last_name":"Kaloshin","orcid":"0000-0002-6051-2628","id":"FE553552-CDE8-11E9-B324-C0EBE5697425","full_name":"Kaloshin, Vadim"}],"oa_version":"Published Version","type":"dissertation","degree_awarded":"PhD","doi_confirm":"1","language":[{"iso":"eng"}],"article_processing_charge":"No","_id":"22255","file":[{"creator":"yli","file_id":"22337","relation":"main_file","file_size":1260717,"file_name":"2026_Li_Yunzhe_Thesis.pdf","checksum":"8201cb5a427656a41828ecde8a85c04b","access_level":"open_access","date_updated":"2026-07-14T10:48:45Z","content_type":"application/pdf","date_created":"2026-07-14T10:48:45Z"},{"date_updated":"2026-07-20T14:00:33Z","access_level":"closed","checksum":"19ee8461ed77f5b7980fc9461f778b6f","file_name":"2026_Li_Yunzhe_Thesis.zip","date_created":"2026-07-14T11:07:18Z","content_type":"application/x-zip-compressed","file_id":"22339","creator":"yli","relation":"source_file","file_size":418752}],"ddc":["515"],"publication_status":"published","status":"public","date_updated":"2026-07-20T14:58:23Z","doi":"10.15479/AT-ISTA-22255","oa":1,"month":"07","related_material":{"record":[{"relation":"part_of_dissertation","id":"22340","status":"public"},{"relation":"part_of_dissertation","id":"22341","status":"public"}]},"author":[{"id":"41cb05d3-f128-11eb-9611-e4e2b3cfba31","first_name":"Yunzhe","last_name":"Li","full_name":"Li, Yunzhe"}],"date_created":"2026-07-08T12:44:31Z","alternative_title":["ISTA Thesis"],"acknowledged_ssus":[{"_id":"E-Lib"},{"_id":"CampIT"}],"year":"2026","day":"11","OA_place":"publisher","publication_identifier":{"issn":["2663-337X"]},"file_date_updated":"2026-07-20T14:00:33Z","date_published":"2026-07-11T00:00:00Z","acknowledgement":"The financial support of the ERC grant SPERIG #885707 is gratefully acknowledged.\r\n","has_accepted_license":"1","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png"},"publisher":"Institute of Science and Technology Austria","citation":{"apa":"Li, Y. (2026). <i>Spectral rigidity and nonrigidity of dynamical systems</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT-ISTA-22255\">https://doi.org/10.15479/AT-ISTA-22255</a>","chicago":"Li, Yunzhe. “Spectral Rigidity and Nonrigidity of Dynamical Systems.” Institute of Science and Technology Austria, 2026. <a href=\"https://doi.org/10.15479/AT-ISTA-22255\">https://doi.org/10.15479/AT-ISTA-22255</a>.","short":"Y. Li, Spectral Rigidity and Nonrigidity of Dynamical Systems, Institute of Science and Technology Austria, 2026.","ieee":"Y. Li, “Spectral rigidity and nonrigidity of dynamical systems,” Institute of Science and Technology Austria, 2026.","ista":"Li Y. 2026. Spectral rigidity and nonrigidity of dynamical systems. Institute of Science and Technology Austria.","mla":"Li, Yunzhe. <i>Spectral Rigidity and Nonrigidity of Dynamical Systems</i>. Institute of Science and Technology Austria, 2026, doi:<a href=\"https://doi.org/10.15479/AT-ISTA-22255\">10.15479/AT-ISTA-22255</a>.","ama":"Li Y. Spectral rigidity and nonrigidity of dynamical systems. 2026. doi:<a href=\"https://doi.org/10.15479/AT-ISTA-22255\">10.15479/AT-ISTA-22255</a>"},"corr_author":"1","abstract":[{"lang":"eng","text":"This thesis studies spectral rigidity and nonrigidity phenomena in dynamical systems. The central question is whether a dynamical system can be determined, up to a natural conjugacy, from its spectrum. We consider three related spectra: the length spectrum, the action spectrum, and the Lyapunov spectrum.\r\n\r\nThe first part of the thesis concerns Liouville metrics on the two-dimensional torus. It is a long-standing folklore conjecture that Liouville metrics are the only integrable metrics on the torus. We prove a length-spectral rigidity result for linear conformal deformations of Liouville metrics by exploiting the dynamical properties of the rational tori -- analogues of the resonant convex caustics in billiards. We also establish a complementary classification result showing that marked-length-isospectral Liouville metrics are characterized by rearrangements of the one-dimensional functions appearing in their conformal factors, generalizing a theorem of Abbondandolo-Mazzucchelli. In particular, the second result gives nonrigidity examples within the class of Liouville metrics.\r\n\r\nThe second part of the thesis studies the standard map from the viewpoint of action and Lyapunov spectra. We construct nontrivial deformations of the standard map which preserve the symplectic actions (respectively, the Lyapunov exponents) of infinitely many periodic orbits accumulating on an invariant curve. The proof combines a resonant normal form construction with Picard iteration schemes to obtain a sequence of periodic orbits accumulating on an invariant curve with a Liouville rotation number. Within the resonant normal forms we capture the dependence of these periodic orbits on the resonant Fourier coefficients of the dynamics on the invariant curve and, using the contraction mapping principle, obtain a suitable deformation achieving the prescribed spectral data associated with this sequence of orbits. The result can be viewed as a symplectic twist-map analogue of a length-spectral nonrigidity phenomenon for Riemannian manifolds and convex billiards, and it motivates the existence problem for similar 'partially length-isospectral' deformations of strictly convex billiard tables.\r\n"}]},{"acknowledged_ssus":[{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"ScienComp"},{"_id":"PreCl"},{"_id":"M-Shop"},{"_id":"E-Lib"}],"date_created":"2024-12-20T09:22:20Z","day":"03","year":"2025","oa":1,"month":"03","author":[{"full_name":"Danzl, Johann G","last_name":"Danzl","first_name":"Johann G","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8559-3973"},{"full_name":"Lyudchik, Julia","id":"46E28B80-F248-11E8-B48F-1D18A9856A87","last_name":"Lyudchik","first_name":"Julia"},{"full_name":"Kreuzinger, Caroline","last_name":"Kreuzinger","first_name":"Caroline","id":"382077BA-F248-11E8-B48F-1D18A9856A87"}],"related_material":{"record":[{"relation":"used_in_publication","status":"public","id":"19704"}],"link":[{"relation":"research_data","url":"https://pub.ista.ac.at/group_danzl/data/LICONN/","description":"Original datasets of large size (>10GB) and datasets in zarr/n5/ims/npz format are provided via this external link."}]},"citation":{"ista":"Danzl JG, Lyudchik J, Kreuzinger C. 2025. Light-microscopy based connectomic reconstruction of mammalian brain tissue, Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/AT:ISTA:18697\">10.15479/AT:ISTA:18697</a>.","ama":"Danzl JG, Lyudchik J, Kreuzinger C. Light-microscopy based connectomic reconstruction of mammalian brain tissue. 2025. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:18697\">10.15479/AT:ISTA:18697</a>","mla":"Danzl, Johann G., et al. <i>Light-Microscopy Based Connectomic Reconstruction of Mammalian Brain Tissue</i>. Institute of Science and Technology Austria, 2025, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:18697\">10.15479/AT:ISTA:18697</a>.","chicago":"Danzl, Johann G, Julia Lyudchik, and Caroline Kreuzinger. “Light-Microscopy Based Connectomic Reconstruction of Mammalian Brain Tissue.” Institute of Science and Technology Austria, 2025. <a href=\"https://doi.org/10.15479/AT:ISTA:18697\">https://doi.org/10.15479/AT:ISTA:18697</a>.","short":"J.G. Danzl, J. Lyudchik, C. Kreuzinger, (2025).","apa":"Danzl, J. G., Lyudchik, J., &#38; Kreuzinger, C. (2025). Light-microscopy based connectomic reconstruction of mammalian brain tissue. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:18697\">https://doi.org/10.15479/AT:ISTA:18697</a>","ieee":"J. G. Danzl, J. Lyudchik, and C. Kreuzinger, “Light-microscopy based connectomic reconstruction of mammalian brain tissue.” Institute of Science and Technology Austria, 2025."},"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 labelling. 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"}],"corr_author":"1","date_published":"2025-03-03T00:00:00Z","file_date_updated":"2025-02-28T16:50:39Z","OA_place":"repository","has_accepted_license":"1","publisher":"Institute of Science and Technology Austria","tmp":{"short":"CC BY-NC-SA (4.0)","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","image":"/images/cc_by_nc_sa.png"},"title":"Light-microscopy based connectomic reconstruction of mammalian brain 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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.","date_published":"2025-04-01T00:00:00Z","file_date_updated":"2025-07-31T07:03:43Z","external_id":{"isi":["001462763100001"],"pmid":["39792900"]},"OA_place":"publisher","publication_identifier":{"issn":["1040-4651"],"eissn":["1532-298X"]},"pmid":1,"has_accepted_license":"1","isi":1,"publisher":"Oxford University Press","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png"},"citation":{"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.","apa":"Gallei, M. C., Truckenbrodt, S. M., Kreuzinger, C., Inumella, S., Vistunou, V., Sommer, C. M., … Danzl, J. G. (2025). Super-resolution expansion microscopy in plant roots. <i>The Plant Cell</i>. Oxford University Press. <a href=\"https://doi.org/10.1093/plcell/koaf006\">https://doi.org/10.1093/plcell/koaf006</a>","short":"M.C. Gallei, S.M. Truckenbrodt, C. Kreuzinger, S. Inumella, V. Vistunou, C.M. Sommer, M. Tavakoli, N. Agudelo Duenas, J. Vorlaufer, W. Jahr, M. Randuch, A.J. Johnson, E. Benková, J. Friml, J.G. Danzl, The Plant Cell 37 (2025).","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>.","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>.","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>","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."},"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. "}],"corr_author":"1","publication":"The Plant Cell","project":[{"_id":"261099A6-B435-11E9-9278-68D0E5697425","grant_number":"742985","name":"Tracing Evolution of Auxin Transport and Polarity in Plants","call_identifier":"H2020"},{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","name":"International IST Doctoral Program","grant_number":"665385"},{"grant_number":"754411","name":"ISTplus - Postdoctoral Fellowships","call_identifier":"H2020","_id":"260C2330-B435-11E9-9278-68D0E5697425"},{"_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","grant_number":"ALTF 679-2018"},{"_id":"6285a163-2b32-11ec-9570-8e204ca2dba5","name":"Studying Organelle Structure and Function at Nanoscale Resolution with Expansion Microscopy","grant_number":"26137"},{"name":"Molecular Drug Targets","grant_number":"W1232-B24","call_identifier":"FWF","_id":"26AA4EF2-B435-11E9-9278-68D0E5697425"}],"ec_funded":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","title":"Super-resolution expansion microscopy in plant roots","department":[{"_id":"EvBe"},{"_id":"JoDa"},{"_id":"JiFr"}],"type":"journal_article","PlanS_conform":"1","oa_version":"Published Version","article_type":"original","OA_type":"hybrid","language":[{"iso":"eng"}],"article_processing_charge":"Yes (via OA deal)","ddc":["580"],"file":[{"relation":"main_file","file_size":53904111,"file_id":"20092","creator":"dernst","success":1,"content_type":"application/pdf","date_created":"2025-07-31T07:03:43Z","access_level":"open_access","date_updated":"2025-07-31T07:03:43Z","file_name":"2025_PlantCell_Gallei.pdf","checksum":"9d3f8218ff37a29f29c48a7bbe831bd3"}],"_id":"19003","status":"public","publication_status":"published","issue":"4","date_updated":"2026-06-10T08:30:19Z","intvolume":"        37","doi":"10.1093/plcell/koaf006","scopus_import":"1"},{"citation":{"ama":"Maslov M. Emergent physics of rotating quantum impurities in many-body environments. 2025. doi:<a href=\"https://doi.org/10.15479/at:ista:19048\">10.15479/at:ista:19048</a>","mla":"Maslov, Mikhail. <i>Emergent Physics of Rotating Quantum Impurities in Many-Body Environments</i>. Institute of Science and Technology Austria, 2025, doi:<a href=\"https://doi.org/10.15479/at:ista:19048\">10.15479/at:ista:19048</a>.","ista":"Maslov M. 2025. Emergent physics of rotating quantum impurities in many-body environments. Institute of Science and Technology Austria.","ieee":"M. Maslov, “Emergent physics of rotating quantum impurities in many-body environments,” Institute of Science and Technology Austria, 2025.","short":"M. Maslov, Emergent Physics of Rotating Quantum Impurities in Many-Body Environments, Institute of Science and Technology Austria, 2025.","chicago":"Maslov, Mikhail. “Emergent Physics of Rotating Quantum Impurities in Many-Body Environments.” Institute of Science and Technology Austria, 2025. <a href=\"https://doi.org/10.15479/at:ista:19048\">https://doi.org/10.15479/at:ista:19048</a>.","apa":"Maslov, M. (2025). <i>Emergent physics of rotating quantum impurities in many-body environments</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:19048\">https://doi.org/10.15479/at:ista:19048</a>"},"corr_author":"1","abstract":[{"text":"Rotations are found in physics problems at all scales: from spatial motion of celestial bodies, to transitions between quantum states of atoms and molecules. Mathematically, they represent a fundamental class of transformations and symmetries. Unlike spatial displacements, rotational transformations in three-dimensional space  are non-commutative: the result of applying a sequence of rotations depends on the order of these operations. This feature makes the emergent physics that involves rotations rather intricate, but instrumental for studies of highly-interconnected many-body systems. In the presence of an environment, rotational properties of an object change, due to the interaction with particles of the environment. Owing to the complexity of this interaction, it can be engineered to exhibit certain properties of interest. In this Thesis, we examine several scenarios of how the rotational behavior of an impurity can be modified by interactions with its environment.","lang":"eng"}],"publication_identifier":{"issn":["2663-337X"]},"OA_place":"publisher","file_date_updated":"2025-02-18T14:25:59Z","acknowledgement":"I am grateful to the European Research Council (ERC) [10.3030/801770] and Austrian\r\nScience Fund (FWF) [10.55776/F1004] for funding my research and to the Physical\r\nReview journals for publishing it. I also want to thank the VCQ (previously CoQuS) and\r\nIQOQI for organizing wonderful networking events for the physics community in Vienna\r\nand Innsbruck, respectively. Moreover, I thank Austrian Science Fund (FWF) for the\r\ncontinuous support for quantum research.","date_published":"2025-02-18T00:00:00Z","has_accepted_license":"1","tmp":{"short":"CC BY-NC-SA (4.0)","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","image":"/images/cc_by_nc_sa.png"},"publisher":"Institute of Science and Technology Austria","date_created":"2025-02-18T01:41:27Z","acknowledged_ssus":[{"_id":"CampIT"},{"_id":"E-Lib"},{"_id":"SSU"}],"alternative_title":["ISTA Thesis"],"year":"2025","day":"18","oa":1,"month":"02","related_material":{"record":[{"relation":"part_of_dissertation","id":"10845","status":"public"},{"id":"7933","status":"public","relation":"part_of_dissertation"},{"relation":"part_of_dissertation","status":"public","id":"18087"}]},"author":[{"full_name":"Maslov, Mikhail","first_name":"Mikhail","last_name":"Maslov","id":"2E65BB0E-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-4074-2570"}],"publication_status":"published","status":"public","date_updated":"2026-04-16T12:20:38Z","doi":"10.15479/at:ista:19048","degree_awarded":"PhD","language":[{"iso":"eng"}],"article_processing_charge":"No","file":[{"file_id":"19061","creator":"mmaslov","relation":"main_file","file_size":7779825,"file_name":"thesis_Maslov.pdf","checksum":"5822a4dd31724c512b37c658af1787ab","access_level":"open_access","date_updated":"2025-02-18T14:25:59Z","content_type":"application/pdf","date_created":"2025-02-18T14:25:59Z"},{"date_created":"2025-02-18T14:25:59Z","content_type":"application/zip","checksum":"89bdce4774406d26ceca88a8bbcd6a9a","file_name":"thesis_Maslov_source.zip","date_updated":"2025-02-18T14:25:59Z","access_level":"open_access","relation":"source_file","file_size":14453726,"file_id":"19062","creator":"mmaslov"}],"_id":"19048","ddc":["539","535","541"],"title":"Emergent physics of rotating quantum impurities in many-body environments","department":[{"_id":"GradSch"},{"_id":"MiLe"}],"supervisor":[{"full_name":"Lemeshko, Mikhail","orcid":"0000-0002-6990-7802","id":"37CB05FA-F248-11E8-B48F-1D18A9856A87","first_name":"Mikhail","last_name":"Lemeshko"}],"oa_version":"Published Version","type":"dissertation","project":[{"_id":"2688CF98-B435-11E9-9278-68D0E5697425","grant_number":"801770","name":"Angulon: physics and applications of a new quasiparticle","call_identifier":"H2020"},{"name":"Coherent Optical Metrology Beyond Electric-Dipole-Allowed Transitions","grant_number":"F100403","_id":"7c040762-9f16-11ee-852c-dd79eeee4ab3"}],"ec_funded":1,"user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","page":"86"},{"volume":642,"year":"2025","day":"12","date_created":"2025-05-18T22:02:51Z","acknowledged_ssus":[{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"ScienComp"},{"_id":"PreCl"},{"_id":"M-Shop"},{"_id":"E-Lib"}],"oa":1,"author":[{"id":"3A0A06F4-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7667-6854","last_name":"Tavakoli","first_name":"Mojtaba","full_name":"Tavakoli, Mojtaba"},{"full_name":"Lyudchik, Julia","id":"46E28B80-F248-11E8-B48F-1D18A9856A87","first_name":"Julia","last_name":"Lyudchik"},{"full_name":"Januszewski, Michał","last_name":"Januszewski","first_name":"Michał"},{"full_name":"Vistunou, Vitali","id":"7e146587-8972-11ed-ae7b-d7a32ea86a81","last_name":"Vistunou","first_name":"Vitali"},{"full_name":"Agudelo Duenas, Nathalie","id":"40E7F008-F248-11E8-B48F-1D18A9856A87","last_name":"Agudelo Duenas","first_name":"Nathalie"},{"orcid":"0009-0000-7590-3501","id":"937696FA-C996-11E9-8C7C-CF13E6697425","first_name":"Jakob","last_name":"Vorlaufer","full_name":"Vorlaufer, Jakob"},{"full_name":"Sommer, Christoph M","last_name":"Sommer","first_name":"Christoph M","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-1216-9105"},{"id":"382077BA-F248-11E8-B48F-1D18A9856A87","last_name":"Kreuzinger","first_name":"Caroline","full_name":"Kreuzinger, Caroline"},{"full_name":"Oliveira, Bárbara","id":"3B03AA1A-F248-11E8-B48F-1D18A9856A87","first_name":"Bárbara","last_name":"Oliveira"},{"full_name":"Cenameri, Alban","id":"9ac8f577-2357-11eb-997a-e566c5550886","first_name":"Alban","last_name":"Cenameri"},{"full_name":"Novarino, Gaia","id":"3E57A680-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7673-7178","last_name":"Novarino","first_name":"Gaia"},{"last_name":"Jain","first_name":"Viren","full_name":"Jain, Viren"},{"last_name":"Danzl","first_name":"Johann G","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8559-3973","full_name":"Danzl, Johann G"}],"related_material":{"record":[{"relation":"earlier_version","id":"18677","status":"public"},{"relation":"research_data","status":"public","id":"18697"}],"link":[{"description":"News on ISTA website","relation":"press_release","url":"https://ista.ac.at/en/news/piecing-together-the-brain-puzzle/"}]},"quality_controlled":"1","month":"06","corr_author":"1","abstract":[{"text":"The information-processing capability of the brain’s cellular network depends on the physical wiring pattern between neurons and their molecular and functional characteristics. Mapping neurons and resolving their individual synaptic connections can be achieved by volumetric imaging at nanoscale 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.","lang":"eng"}],"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.","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>","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.","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>.","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>.","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."},"publication":"Nature","pmid":1,"OA_place":"publisher","publication_identifier":{"eissn":["1476-4687"],"issn":["0028-0836"]},"external_id":{"pmid":["40335689"],"isi":["001483477000001"]},"date_published":"2025-06-12T00:00:00Z","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).","file_date_updated":"2025-07-03T06:55:20Z","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png"},"isi":1,"publisher":"Springer Nature","has_accepted_license":"1","department":[{"_id":"JoDa"},{"_id":"GradSch"},{"_id":"Bio"},{"_id":"GaNo"}],"title":"Light-microscopy-based connectomic reconstruction of mammalian brain tissue","article_type":"original","oa_version":"Published Version","PlanS_conform":"1","type":"journal_article","ec_funded":1,"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","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"},{"_id":"26AA4EF2-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","name":"Molecular Drug Targets","grant_number":"W1232-B24"}],"page":"398-410","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","date_updated":"2026-04-28T13:33:34Z","publication_status":"published","status":"public","scopus_import":"1","doi":"10.1038/s41586-025-08985-1","intvolume":"       642","file":[{"success":1,"content_type":"application/pdf","date_created":"2025-07-03T06:55:20Z","access_level":"open_access","date_updated":"2025-07-03T06:55:20Z","file_name":"2025_Nature_Tavakoli.pdf","checksum":"ebc99d7108e728f46db0a009292675ef","relation":"main_file","file_size":133201290,"creator":"dernst","file_id":"19959"}],"_id":"19704","ddc":["570"],"language":[{"iso":"eng"}],"OA_type":"hybrid","article_processing_charge":"Yes (via OA deal)"},{"month":"07","author":[{"full_name":"Gallemi, Marçal","id":"460C6802-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-4675-6893","first_name":"Marçal","last_name":"Gallemi"},{"orcid":"0000-0001-9179-6099","id":"310A8E3E-F248-11E8-B48F-1D18A9856A87","first_name":"Juan C","last_name":"Montesinos López","full_name":"Montesinos López, Juan C"},{"first_name":"Nikola","last_name":"Zarevski","id":"18e95355-e05a-11ea-a9c0-8fba1b89e83a","full_name":"Zarevski, Nikola"},{"full_name":"Pribyl, Jan","last_name":"Pribyl","first_name":"Jan"},{"last_name":"Skládal","first_name":"Petr","full_name":"Skládal, Petr"},{"last_name":"Hannezo","first_name":"Edouard B","id":"3A9DB764-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-6005-1561","full_name":"Hannezo, Edouard B"},{"last_name":"Benková","first_name":"Eva","id":"38F4F166-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-8510-9739","full_name":"Benková, Eva"}],"quality_controlled":"1","oa":1,"date_created":"2025-07-27T22:01:26Z","acknowledged_ssus":[{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"E-Lib"}],"year":"2025","day":"04","article_number":"1612366","volume":16,"has_accepted_license":"1","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png"},"APC_amount":"3642,79 EUR","publisher":"Frontiers Media","isi":1,"publication_identifier":{"eissn":["1664-462X"]},"OA_place":"publisher","external_id":{"pmid":["40688689"],"isi":["001530690900001"]},"acknowledgement":"The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by grants from the European Research Council (Starting Independent Research Grant ERC-2007-Stg- 207362-HCPO to EB) and MG was recipient of an IST Interdisciplinary project (IC1022IPC03).\r\nWe acknowledge Jaume F. Martı́nez Garcı́a for phyAphyB mutant seeds. We acknowledge CF Nanobiotechnology of CIISB, Instruct-CZ Centre, supported by MEYS CR (LM2018127). We gratefully acknowledge support by the Scientific Service Units at ISTA, including the Imaging and Optics and Lab Support facilities and Library. We thank Stefan Riegler for the efforts to establish immunodetection method.","file_date_updated":"2025-07-31T07:28:54Z","date_published":"2025-07-04T00:00:00Z","pmid":1,"publication":"Frontiers in Plant Science","citation":{"mla":"Gallemi, Marçal, et al. “Dual Role of Pectin Methyl Esterase Activity in the Regulation of Plant Cell Wall Biophysical Properties.” <i>Frontiers in Plant Science</i>, vol. 16, 1612366, Frontiers Media, 2025, doi:<a href=\"https://doi.org/10.3389/fpls.2025.1612366\">10.3389/fpls.2025.1612366</a>.","ama":"Gallemi M, Montesinos López JC, Zarevski N, et al. Dual role of pectin methyl esterase activity in the regulation of plant cell wall biophysical properties. <i>Frontiers in Plant Science</i>. 2025;16. doi:<a href=\"https://doi.org/10.3389/fpls.2025.1612366\">10.3389/fpls.2025.1612366</a>","ista":"Gallemi M, Montesinos López JC, Zarevski N, Pribyl J, Skládal P, Hannezo EB, Benková E. 2025. Dual role of pectin methyl esterase activity in the regulation of plant cell wall biophysical properties. Frontiers in Plant Science. 16, 1612366.","ieee":"M. Gallemi <i>et al.</i>, “Dual role of pectin methyl esterase activity in the regulation of plant cell wall biophysical properties,” <i>Frontiers in Plant Science</i>, vol. 16. Frontiers Media, 2025.","apa":"Gallemi, M., Montesinos López, J. C., Zarevski, N., Pribyl, J., Skládal, P., Hannezo, E. B., &#38; Benková, E. (2025). Dual role of pectin methyl esterase activity in the regulation of plant cell wall biophysical properties. <i>Frontiers in Plant Science</i>. Frontiers Media. <a href=\"https://doi.org/10.3389/fpls.2025.1612366\">https://doi.org/10.3389/fpls.2025.1612366</a>","short":"M. Gallemi, J.C. Montesinos López, N. Zarevski, J. Pribyl, P. Skládal, E.B. Hannezo, E. Benková, Frontiers in Plant Science 16 (2025).","chicago":"Gallemi, Marçal, Juan C Montesinos López, Nikola Zarevski, Jan Pribyl, Petr Skládal, Edouard B Hannezo, and Eva Benková. “Dual Role of Pectin Methyl Esterase Activity in the Regulation of Plant Cell Wall Biophysical Properties.” <i>Frontiers in Plant Science</i>. Frontiers Media, 2025. <a href=\"https://doi.org/10.3389/fpls.2025.1612366\">https://doi.org/10.3389/fpls.2025.1612366</a>."},"corr_author":"1","abstract":[{"lang":"eng","text":"Introduction: Acid-growth theory has been postulated in the 70s to explain the rapid elongation of plant cells in response to the hormone auxin. More recently, it has been demonstrated that activation of the proton ATPs pump (H+-ATPs) promoting acidification of the apoplast is the principal mechanism by which auxin and other hormones such as brassinosteroids (BR) induce cell elongation. Despite these advances, the impact of this acidification on the mechanical properties of the cell wall remained largely unexplored.\r\n\r\nMethods: Here, we use elongation assays of Arabidopsis thaliana hypocotyls and Atomic Force Microscopy (AFM) to correlate hormone-induced tissue elongation and local changes in cell wall mechanical properties. Furthermore, employing transgenic lines over-expressing Pectin Methyl Esterase (PME), along with calcium chelators, we investigate the effect of pectin modification in hormone-driven cell elongation.\r\n\r\nResults: We demonstrate that acidification of apoplast is necessary and sufficient to induce cell elongation through promoting cell wall softening. Moreover, we show that enhanced PME activity can induce both cell wall softening or stiffening in extracellular calcium dependent-manner and that tight control of PME activity is required for proper hypocotyl elongation.\r\n\r\nDiscussion: Our results confirm a dual role of PME in plant cell elongation. However, further investigation is needed to assess the status of pectin following short- or long-term PME treatments in order to determine if pectin methyl-esterification might promote its degradation as well as the role of PME inhibitors upon PME induction."}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","project":[{"_id":"253FCA6A-B435-11E9-9278-68D0E5697425","grant_number":"207362","name":"Hormonal cross-talk in plant organogenesis","call_identifier":"FP7"},{"_id":"B67AFEDC-15C9-11EA-A837-991A96BB2854","name":"IST Austria Open Access Fund"}],"ec_funded":1,"DOAJ_listed":"1","PlanS_conform":"1","oa_version":"Published Version","type":"journal_article","article_type":"original","title":"Dual role of pectin methyl esterase activity in the regulation of plant cell wall biophysical properties","department":[{"_id":"EdHa"},{"_id":"EvBe"},{"_id":"CaGu"}],"article_processing_charge":"Yes","language":[{"iso":"eng"}],"OA_type":"gold","file":[{"file_size":3665187,"relation":"main_file","file_id":"20093","creator":"dernst","success":1,"content_type":"application/pdf","date_created":"2025-07-31T07:28:54Z","access_level":"open_access","date_updated":"2025-07-31T07:28:54Z","file_name":"2025_FrontiersPlantSc_Gallemi.pdf","checksum":"9e6b8b53ba56d4a24a9bd91cf6d2dc58"}],"_id":"20080","ddc":["580"],"intvolume":"        16","doi":"10.3389/fpls.2025.1612366","scopus_import":"1","publication_status":"published","status":"public","date_updated":"2026-05-20T07:53:03Z"},{"article_processing_charge":"No","language":[{"iso":"eng"}],"ddc":["570","530"],"file":[{"date_created":"2025-09-16T12:56:06Z","content_type":"application/pdf","checksum":"991e81bc16a76b4e0c352567728fd2c5","title":"Effect propagation in biological networks","embargo_to":"open_access","file_name":"2025_Ruzickova_Natalia_Thesis.pdf","date_updated":"2025-11-27T10:00:25Z","access_level":"closed","file_size":43518367,"relation":"main_file","file_id":"20360","creator":"nruzicko","embargo":"2026-09-14"},{"file_id":"20361","creator":"nruzicko","file_size":53464789,"relation":"source_file","date_updated":"2025-09-16T12:59:23Z","access_level":"closed","checksum":"c4ab257adad116083d8a97fac69b2dde","file_name":"2025_Ruzickova_Natalia_Thesis_source.zip","date_created":"2025-09-16T12:59:23Z","content_type":"application/zip"}],"_id":"20357","degree_awarded":"PhD","doi":"10.15479/AT-ISTA-20357","status":"public","publication_status":"published","date_updated":"2026-04-07T12:02:39Z","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","page":"160","project":[{"name":"Collective behaviour of cells in pancreatic Islets of Langerhans","_id":"7bec9174-9f16-11ee-852c-ded9fe5f810e"}],"type":"dissertation","oa_version":"Published Version","keyword":["gene regulation","networks","omnigenic model","pancreas","collective behaviour"],"title":"Effect propagation in biological networks","supervisor":[{"full_name":"Tkačik, Gašper","last_name":"Tkačik","first_name":"Gašper","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-6699-1455"}],"department":[{"_id":"GradSch"},{"_id":"GaTk"}],"has_accepted_license":"1","publisher":"Institute of Science and Technology Austria","acknowledgement":"I would also like to acknowledge the Austrian Academy of Sciences for funding through the\r\nDOC Fellowship program (fellowship number 26917), the Grants Office at ISTA for their\r\nassistance with the application, and the Scientific Computing Unit for their support regarding\r\nhigh-performance computation.\r\n","date_published":"2025-09-15T00:00:00Z","file_date_updated":"2025-11-27T10:00:25Z","publication_identifier":{"isbn":["978-3-99078-066-4"],"issn":["2663-337X"]},"OA_place":"publisher","citation":{"apa":"Ruzickova, N. (2025). <i>Effect propagation in biological networks</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT-ISTA-20357\">https://doi.org/10.15479/AT-ISTA-20357</a>","chicago":"Ruzickova, Natalia. “Effect Propagation in Biological Networks.” Institute of Science and Technology Austria, 2025. <a href=\"https://doi.org/10.15479/AT-ISTA-20357\">https://doi.org/10.15479/AT-ISTA-20357</a>.","short":"N. Ruzickova, Effect Propagation in Biological Networks, Institute of Science and Technology Austria, 2025.","ieee":"N. Ruzickova, “Effect propagation in biological networks,” Institute of Science and Technology Austria, 2025.","ista":"Ruzickova N. 2025. Effect propagation in biological networks. Institute of Science and Technology Austria.","mla":"Ruzickova, Natalia. <i>Effect Propagation in Biological Networks</i>. Institute of Science and Technology Austria, 2025, doi:<a href=\"https://doi.org/10.15479/AT-ISTA-20357\">10.15479/AT-ISTA-20357</a>.","ama":"Ruzickova N. Effect propagation in biological networks. 2025. doi:<a href=\"https://doi.org/10.15479/AT-ISTA-20357\">10.15479/AT-ISTA-20357</a>"},"corr_author":"1","month":"09","related_material":{"record":[{"id":"18525","status":"public","relation":"part_of_dissertation"}]},"author":[{"full_name":"Ruzickova, Natalia","id":"D2761128-D73D-11E9-A1BF-BA0DE6697425","first_name":"Natalia","last_name":"Ruzickova"}],"acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"E-Lib"}],"alternative_title":["ISTA Thesis"],"date_created":"2025-09-15T17:04:48Z","day":"15","year":"2025"},{"oa_version":"Published Version","type":"journal_article","article_type":"original","title":"Imaging brain tissue architecture across millimeter to nanometer scales","department":[{"_id":"SaSi"},{"_id":"GaNo"},{"_id":"PeJo"},{"_id":"JoDa"},{"_id":"Bio"},{"_id":"RySh"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","page":"1051-1064","project":[{"grant_number":"I03600","name":"Optical control of synaptic function via adhesion molecules","call_identifier":"FWF","_id":"265CB4D0-B435-11E9-9278-68D0E5697425"},{"_id":"2548AE96-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","name":"Molecular Drug Targets","grant_number":"W1232"},{"_id":"25C5A090-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","name":"Synaptic communication in neuronal microcircuits","grant_number":"Z00312"},{"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":"25444568-B435-11E9-9278-68D0E5697425","grant_number":"715508","name":"Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo and in vitro Models","call_identifier":"H2020"},{"call_identifier":"H2020","grant_number":"692692","name":"Biophysics and circuit function of a giant cortical glutamatergic synapse","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425"},{"name":"International IST Doctoral Program","grant_number":"665385","call_identifier":"H2020","_id":"2564DBCA-B435-11E9-9278-68D0E5697425"},{"_id":"fc2be41b-9c52-11eb-aca3-faa90aa144e9","call_identifier":"H2020","grant_number":"101026635","name":"Synaptic computations of the hippocampal CA3 circuitry"}],"ec_funded":1,"intvolume":"        42","doi":"10.1038/s41587-023-01911-8","scopus_import":"1","publication_status":"published","status":"public","date_updated":"2026-04-14T08:34:35Z","OA_type":"hybrid","language":[{"iso":"eng"}],"article_processing_charge":"Yes (in subscription journal)","_id":"14257","file":[{"relation":"main_file","file_size":26065165,"file_id":"18784","creator":"dernst","success":1,"content_type":"application/pdf","date_created":"2025-01-09T07:48:01Z","access_level":"open_access","date_updated":"2025-01-09T07:48:01Z","file_name":"2024_NatureBiotech_Michalska.pdf","checksum":"57d5fafb16f02dcb9f7dddb1bd7e2a71"}],"ddc":["570"],"date_created":"2023-09-03T22:01:15Z","acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"Bio"},{"_id":"PreCl"},{"_id":"LifeSc"},{"_id":"M-Shop"},{"_id":"E-Lib"}],"year":"2024","day":"01","volume":42,"month":"07","related_material":{"link":[{"relation":"software","url":"https://github.com/danzllab/CATS"}],"record":[{"id":"18660","status":"deleted","relation":"dissertation_contains"},{"relation":"research_data","status":"public","id":"13126"},{"status":"public","id":"18674","relation":"dissertation_contains"}]},"author":[{"full_name":"Michalska, Julia M","first_name":"Julia M","last_name":"Michalska","orcid":"0000-0003-3862-1235","id":"443DB6DE-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Lyudchik, Julia","first_name":"Julia","last_name":"Lyudchik","id":"46E28B80-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Philipp","last_name":"Velicky","orcid":"0000-0002-2340-7431","id":"39BDC62C-F248-11E8-B48F-1D18A9856A87","full_name":"Velicky, Philipp"},{"id":"ee3cb6ca-ec98-11ea-ae11-ff703e2254ed","first_name":"Hana","last_name":"Korinkova","full_name":"Korinkova, Hana"},{"id":"63836096-4690-11EA-BD4E-32803DDC885E","orcid":"0000-0002-8698-3823","last_name":"Watson","first_name":"Jake","full_name":"Watson, Jake"},{"id":"9ac8f577-2357-11eb-997a-e566c5550886","last_name":"Cenameri","first_name":"Alban","full_name":"Cenameri, Alban"},{"full_name":"Sommer, Christoph M","orcid":"0000-0003-1216-9105","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","first_name":"Christoph M","last_name":"Sommer"},{"full_name":"Amberg, Nicole","orcid":"0000-0002-3183-8207","id":"4CD6AAC6-F248-11E8-B48F-1D18A9856A87","first_name":"Nicole","last_name":"Amberg"},{"full_name":"Venturino, Alessandro","first_name":"Alessandro","last_name":"Venturino","id":"41CB84B2-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2356-9403"},{"last_name":"Roessler","first_name":"Karl","full_name":"Roessler, Karl"},{"first_name":"Thomas","last_name":"Czech","full_name":"Czech, Thomas"},{"full_name":"Höftberger, Romana","last_name":"Höftberger","first_name":"Romana"},{"first_name":"Sandra","last_name":"Siegert","id":"36ACD32E-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8635-0877","full_name":"Siegert, Sandra"},{"full_name":"Novarino, Gaia","orcid":"0000-0002-7673-7178","id":"3E57A680-F248-11E8-B48F-1D18A9856A87","last_name":"Novarino","first_name":"Gaia"},{"full_name":"Jonas, Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5001-4804","last_name":"Jonas","first_name":"Peter M"},{"first_name":"Johann G","last_name":"Danzl","orcid":"0000-0001-8559-3973","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","full_name":"Danzl, Johann G"}],"quality_controlled":"1","oa":1,"publication":"Nature Biotechnology","citation":{"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>.","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>","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.","ieee":"J. M. Michalska <i>et al.</i>, “Imaging brain tissue architecture across millimeter to nanometer scales,” <i>Nature Biotechnology</i>, vol. 42. Springer Nature, pp. 1051–1064, 2024.","apa":"Michalska, J. M., Lyudchik, J., Velicky, P., Korinkova, H., Watson, J., Cenameri, A., … Danzl, J. G. (2024). Imaging brain tissue architecture across millimeter to nanometer scales. <i>Nature Biotechnology</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41587-023-01911-8\">https://doi.org/10.1038/s41587-023-01911-8</a>","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. Venturino, K. Roessler, T. Czech, R. Höftberger, S. Siegert, G. Novarino, P.M. Jonas, J.G. Danzl, Nature Biotechnology 42 (2024) 1051–1064."},"corr_author":"1","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"}],"has_accepted_license":"1","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png"},"isi":1,"publisher":"Springer Nature","OA_place":"publisher","publication_identifier":{"issn":["1087-0156"],"eissn":["1546-1696"]},"date_published":"2024-07-01T00:00:00Z","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.).","file_date_updated":"2025-01-09T07:48:01Z","external_id":{"pmid":["37653226"],"isi":["001065254200001"]},"pmid":1},{"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","project":[{"grant_number":"26137","name":"Studying Organelle Structure and Function at Nanoscale Resolution with Expansion Microscopy","_id":"6285a163-2b32-11ec-9570-8e204ca2dba5"},{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","grant_number":"665385","name":"International IST Doctoral Program"},{"_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","grant_number":"W1232-B24","name":"Molecular Drug Targets","_id":"26AA4EF2-B435-11E9-9278-68D0E5697425"}],"ec_funded":1,"oa_version":"Preprint","type":"preprint","title":"Light-microscopy based dense connectomic reconstruction of mammalian brain tissue","department":[{"_id":"GaNo"},{"_id":"JoDa"}],"article_processing_charge":"No","language":[{"iso":"eng"}],"_id":"18677","license":"https://creativecommons.org/licenses/by-nc-nd/4.0/","doi":"10.1101/2024.03.01.582884","publication_status":"draft","status":"public","date_updated":"2026-04-28T13:33:34Z","month":"07","related_material":{"record":[{"id":"18681","status":"public","relation":"dissertation_contains"},{"relation":"dissertation_contains","id":"18674","status":"public"},{"id":"19704","status":"public","relation":"later_version"}]},"author":[{"last_name":"Tavakoli","first_name":"Mojtaba","orcid":"0000-0002-7667-6854","id":"3A0A06F4-F248-11E8-B48F-1D18A9856A87","full_name":"Tavakoli, Mojtaba"},{"id":"46E28B80-F248-11E8-B48F-1D18A9856A87","first_name":"Julia","last_name":"Lyudchik","full_name":"Lyudchik, Julia"},{"last_name":"Januszewski","first_name":"Michał","full_name":"Januszewski, Michał"},{"full_name":"Vistunou, Vitali","id":"7e146587-8972-11ed-ae7b-d7a32ea86a81","first_name":"Vitali","last_name":"Vistunou"},{"id":"40E7F008-F248-11E8-B48F-1D18A9856A87","last_name":"Agudelo Duenas","first_name":"Nathalie","full_name":"Agudelo Duenas, Nathalie"},{"full_name":"Vorlaufer, Jakob","first_name":"Jakob","last_name":"Vorlaufer","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"},{"last_name":"Kreuzinger","first_name":"Caroline","id":"382077BA-F248-11E8-B48F-1D18A9856A87","full_name":"Kreuzinger, Caroline"},{"id":"3B03AA1A-F248-11E8-B48F-1D18A9856A87","first_name":"Bárbara","last_name":"Oliveira","full_name":"Oliveira, Bárbara"},{"id":"9ac8f577-2357-11eb-997a-e566c5550886","last_name":"Cenameri","first_name":"Alban","full_name":"Cenameri, Alban"},{"orcid":"0000-0002-7673-7178","id":"3E57A680-F248-11E8-B48F-1D18A9856A87","first_name":"Gaia","last_name":"Novarino","full_name":"Novarino, Gaia"},{"full_name":"Jain, Viren","first_name":"Viren","last_name":"Jain"},{"full_name":"Danzl, Johann G","first_name":"Johann G","last_name":"Danzl","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8559-3973"}],"oa":1,"date_created":"2024-12-18T14:48:24Z","acknowledged_ssus":[{"_id":"E-Lib"},{"_id":"M-Shop"},{"_id":"LifeSc"},{"_id":"Bio"},{"_id":"ScienComp"}],"year":"2024","day":"08","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","short":"CC BY-NC-ND (4.0)","image":"/images/cc_by_nc_nd.png"},"OA_place":"repository","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","date_published":"2024-07-08T00:00:00Z","publication":"bioRxiv","main_file_link":[{"url":"https://doi.org/10.1101/2024.03.01.582884","open_access":"1"}],"citation":{"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>.","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>. .","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>","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.)."},"corr_author":"1","abstract":[{"text":"The information-processing capability of the brain’s cellular network depends on the physical wiring pattern between neurons and their molecular and functional characteristics. Mapping neurons and resolving their individual synaptic connections can be achieved by volumetric imaging at nanoscale resolution with dense cellular labeling. Light microscopy is uniquely positioned to visualize specific molecules but dense, synapse-level circuit reconstruction by light microscopy has been out of reach due to limitations in resolution, contrast, and volumetric imaging capability. Here we developed light-microscopy based connectomics (LICONN). We integrated specifically engineered hydrogel embedding and expansion with comprehensive deep-learning based segmentation and analysis of connectivity, thus directly incorporating molecular information in synapse-level brain tissue reconstructions. LICONN will allow synapse-level brain tissue phenotyping in biological experiments in a readily adoptable manner.","lang":"eng"}]},{"corr_author":"1","abstract":[{"text":"Multiplexed fluorescence microscopy imaging is widely used in biomedical applications. However, simultaneous imaging of multiple fluorophores can result in spectral leaks and overlapping, which greatly degrades image quality and subsequent analysis. Existing popular spectral unmixing methods are mainly based on computational intensive linear models and the performance is heavily dependent on the reference spectra, which may greatly preclude its further applications. In this paper, we propose a deep learning-based blindly spectral unmixing method, termed AutoUnmix, to imitate the physical spectral mixing process. A tranfer learning framework is further devised to allow our AutoUnmix adapting to a variety of imaging systems without retraining the network. Our proposed method has demonstrated real-time unmixing capabilities, surpassing existing methods by up to 100-fold in terms of unmixing speed. We further validate the reconstruction performance on both synthetic datasets and biological samples. The unmixing results of AutoUnmix achieve a highest SSIM of 0.99 in both three- and four-color imaging, with nearly up to 20% higher than other popular unmixing methods. Due to the desirable property of data independency and superior blind unmixing performance, we believe AutoUnmix is a powerful tool to study the interaction process of different organelles labeled by multiple fluorophores.","lang":"eng"}],"citation":{"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>","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>.","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>.","mla":"Gallei, Michelle C., et al. “Super-Resolution Expansion Microscopy in Plant Roots.” <i>BioRxiv</i>, doi:<a href=\"https://doi.org/10.1101/2024.02.21.581330\">10.1101/2024.02.21.581330</a>.","ama":"Gallei MC, Truckenbrodt SM, Kreuzinger C, et al. Super-resolution expansion microscopy in plant roots. <i>bioRxiv</i>. doi:<a href=\"https://doi.org/10.1101/2024.02.21.581330\">10.1101/2024.02.21.581330</a>"},"publication":"bioRxiv","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1101/2024.02.21.581330"}],"OA_place":"repository","date_published":"2024-02-21T00:00:00Z","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.","tmp":{"image":"/images/cc_by_nc.png","short":"CC BY-NC (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc/4.0/legalcode","name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)"},"year":"2024","day":"21","date_created":"2024-12-19T12:28:00Z","acknowledged_ssus":[{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"M-Shop"},{"_id":"E-Lib"}],"oa":1,"author":[{"id":"35A03822-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-1286-7368","last_name":"Gallei","first_name":"Michelle C","full_name":"Gallei, Michelle C"},{"id":"45812BD4-F248-11E8-B48F-1D18A9856A87","last_name":"Truckenbrodt","first_name":"Sven M","full_name":"Truckenbrodt, Sven M"},{"full_name":"Kreuzinger, Caroline","last_name":"Kreuzinger","first_name":"Caroline","id":"382077BA-F248-11E8-B48F-1D18A9856A87"},{"id":"F8660870-D756-11E9-98C5-34DFE5697425","orcid":"0009-0002-5890-120X","last_name":"Inumella","first_name":"Syamala","full_name":"Inumella, Syamala"},{"full_name":"Vistunou, Vitali","id":"7e146587-8972-11ed-ae7b-d7a32ea86a81","first_name":"Vitali","last_name":"Vistunou"},{"full_name":"Sommer, Christoph M","first_name":"Christoph M","last_name":"Sommer","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-1216-9105"},{"id":"3A0A06F4-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7667-6854","last_name":"Tavakoli","first_name":"Mojtaba","full_name":"Tavakoli, Mojtaba"},{"id":"40E7F008-F248-11E8-B48F-1D18A9856A87","first_name":"Nathalie","last_name":"Agudelo Duenas","full_name":"Agudelo Duenas, Nathalie"},{"full_name":"Vorlaufer, Jakob","last_name":"Vorlaufer","first_name":"Jakob","id":"937696FA-C996-11E9-8C7C-CF13E6697425","orcid":"0009-0000-7590-3501"},{"full_name":"Jahr, Wiebke","orcid":"0000-0003-0201-2315","id":"425C1CE8-F248-11E8-B48F-1D18A9856A87","last_name":"Jahr","first_name":"Wiebke"},{"full_name":"Randuch, Marek","id":"6ac4636d-15b2-11ec-abd3-fb8df79972ae","last_name":"Randuch","first_name":"Marek"},{"last_name":"Johnson","first_name":"Alexander J","id":"46A62C3A-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-2739-8843","full_name":"Johnson, Alexander J"},{"full_name":"Benková, Eva","last_name":"Benková","first_name":"Eva","orcid":"0000-0002-8510-9739","id":"38F4F166-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Friml","first_name":"Jiří","orcid":"0000-0002-8302-7596","id":"4159519E-F248-11E8-B48F-1D18A9856A87","full_name":"Friml, Jiří"},{"orcid":"0000-0001-8559-3973","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","first_name":"Johann G","last_name":"Danzl","full_name":"Danzl, Johann G"}],"related_material":{"record":[{"id":"19003","status":"public","relation":"later_version"},{"relation":"dissertation_contains","id":"18681","status":"public"}]},"month":"02","date_updated":"2026-04-07T12:56:36Z","publication_status":"draft","status":"public","doi":"10.1101/2024.02.21.581330","license":"https://creativecommons.org/licenses/by-nc/4.0/","_id":"18689","article_processing_charge":"No","language":[{"iso":"eng"}],"department":[{"_id":"EvBe"},{"_id":"JoDa"},{"_id":"JiFr"}],"title":"Super-resolution expansion microscopy in plant roots","oa_version":"Preprint","type":"preprint","ec_funded":1,"project":[{"_id":"261099A6-B435-11E9-9278-68D0E5697425","name":"Tracing Evolution of Auxin Transport and Polarity in Plants","grant_number":"742985","call_identifier":"H2020"},{"grant_number":"665385","name":"International IST Doctoral Program","call_identifier":"H2020","_id":"2564DBCA-B435-11E9-9278-68D0E5697425"},{"grant_number":"754411","name":"ISTplus - Postdoctoral Fellowships","call_identifier":"H2020","_id":"260C2330-B435-11E9-9278-68D0E5697425"},{"call_identifier":"FWF","grant_number":"W1232-B24","name":"Molecular Drug Targets","_id":"26AA4EF2-B435-11E9-9278-68D0E5697425"},{"_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","grant_number":"ALTF 679-2018"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87"},{"ec_funded":1,"project":[{"_id":"bdaf81a8-d553-11ed-ba76-c95961984540","name":"Action Selection in the Midbrain: Neuromodulation of Visuomotor Senses","grant_number":"101086580"},{"name":"International IST Doctoral Program","grant_number":"665385","call_identifier":"H2020","_id":"2564DBCA-B435-11E9-9278-68D0E5697425"},{"call_identifier":"H2020","grant_number":"756502","name":"Circuits of Visual Attention","_id":"2634E9D2-B435-11E9-9278-68D0E5697425"}],"page":"86","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","department":[{"_id":"GradSch"},{"_id":"MaJö"}],"supervisor":[{"id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-3937-1330","first_name":"Maximilian A","last_name":"Jösch","full_name":"Jösch, Maximilian A"}],"title":"Visual adaptations to natural statistics","oa_version":"Published Version","type":"dissertation","degree_awarded":"PhD","_id":"18574","file":[{"date_created":"2024-11-25T14:44:03Z","content_type":"application/zip","date_updated":"2025-11-11T23:30:02Z","access_level":"closed","checksum":"ebb000d361c36b22ed6e639a931c6b7c","embargo_to":"open_access","file_name":"PhD Thesis - Divyansh Gupta.zip","file_size":75512262,"relation":"source_file","file_id":"18589","creator":"dgupta"},{"checksum":"1282401eb71598bc311058b0fcefc6a1","file_name":"PDFA_PhD_Thesis___Divyansh_Gupta-26_11_24.pdf","date_updated":"2025-11-11T23:30:02Z","access_level":"open_access","date_created":"2024-11-26T11:43:19Z","content_type":"application/pdf","creator":"dgupta","file_id":"18591","embargo":"2025-11-11","relation":"main_file","file_size":6412619}],"ddc":["573"],"article_processing_charge":"No","language":[{"iso":"eng"}],"date_updated":"2026-04-07T13:24:48Z","publication_status":"published","status":"public","doi":"10.15479/at:ista:18574","oa":1,"author":[{"last_name":"Gupta","first_name":"Divyansh","id":"2A485EBE-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-7400-6665","full_name":"Gupta, Divyansh"}],"related_material":{"record":[{"status":"public","id":"12349","relation":"part_of_dissertation"},{"id":"12370","status":"public","relation":"research_data"}]},"month":"11","year":"2024","day":"22","date_created":"2024-11-20T21:30:44Z","acknowledged_ssus":[{"_id":"Bio"},{"_id":"ScienComp"},{"_id":"PreCl"},{"_id":"LifeSc"},{"_id":"M-Shop"},{"_id":"E-Lib"}],"alternative_title":["ISTA Thesis"],"OA_place":"publisher","publication_identifier":{"issn":["2663-337X"],"isbn":["978-3-99078-050-3"]},"file_date_updated":"2025-11-11T23:30:02Z","acknowledgement":"This work would have been impossible without the Scientific Service Units of IST Austria. The resources and expertise provided by Scientific Computing (especially Alois Schlögl), the MIBA Machine Shop (especially Todor Asenov), the Preclinical Facility (especially Freyja Langer), the Library, the Lab Support Facility and the Imaging and Optics Facility were the essential bedrock I could build upon. I would also like to thank IT support at ISTA for powering through remote work and a cyberattack.\r\nI am grateful for having been funded initially by the European Union Horizon 2020 Marie Skłodowska-Curie grant 665385 and later by Prof. Maximilian Joesch's the European Research Council Starting (756502) and Consolidator (101086580) Grants.","date_published":"2024-11-22T00:00:00Z","tmp":{"short":"CC BY-NC-SA (4.0)","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","image":"/images/cc_by_nc_sa.png"},"publisher":"Institute of Science and Technology Austria","OA_embargo":"12","has_accepted_license":"1","corr_author":"1","abstract":[{"lang":"eng","text":"Biological vision is unlike a camera; rather than transmitting light information faithfully, early\r\nvisual circuits process the visual scene to convey only the relevant information in an efficient\r\nmanner. Consequentially, the nature of this visual processing then depends on what is the\r\nrelevant information in a scene and on the notion of efficiency. In this work, I study how visual\r\nprocessing is modulated by two different variations in the visual scene. First, I discovered that\r\nin the mouse (Mus musculus) retina, Retinal Ganglion Cells in the upper and lower visual\r\nfield have differences in the center surround structure of their receptive fields. Comparison\r\nwith models of efficient coding show that this adaptation likely evolved to cope with the\r\nbrightness gradient from the sky to the ground that is pervasive in natural scenes. In the\r\nsecond project, I study how the downstream neurons in the Superior Colliculus dynamically\r\nchange their temporal selectivity depending on the ambient luminance and behavioral state.\r\nAs the scene gets darker or when the animal is is less aroused, the neuronal responses get\r\nlaggier, while still maintaining their relative timing with respect to the population. Overall, this\r\nwork emphasises the need to understand visual processing in the context of specific demands\r\nof the animal in its the environment. The adaptive changes in the visual system, from the\r\nretinal ganglion cells to the superior colliculus, highlight the intricate ways in which biological\r\nvision optimizes the processing of visual information.\r\n"}],"citation":{"ista":"Gupta D. 2024. Visual adaptations to natural statistics. Institute of Science and Technology Austria.","ama":"Gupta D. Visual adaptations to natural statistics. 2024. doi:<a href=\"https://doi.org/10.15479/at:ista:18574\">10.15479/at:ista:18574</a>","mla":"Gupta, Divyansh. <i>Visual Adaptations to Natural Statistics</i>. Institute of Science and Technology Austria, 2024, doi:<a href=\"https://doi.org/10.15479/at:ista:18574\">10.15479/at:ista:18574</a>.","chicago":"Gupta, Divyansh. “Visual Adaptations to Natural Statistics.” Institute of Science and Technology Austria, 2024. <a href=\"https://doi.org/10.15479/at:ista:18574\">https://doi.org/10.15479/at:ista:18574</a>.","short":"D. Gupta, Visual Adaptations to Natural Statistics, Institute of Science and Technology Austria, 2024.","apa":"Gupta, D. (2024). <i>Visual adaptations to natural statistics</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:18574\">https://doi.org/10.15479/at:ista:18574</a>","ieee":"D. Gupta, “Visual adaptations to natural statistics,” Institute of Science and Technology Austria, 2024."}},{"date_created":"2023-04-07T11:37:40Z","acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"Bio"},{"_id":"PreCl"},{"_id":"LifeSc"},{"_id":"M-Shop"},{"_id":"E-Lib"}],"year":"2023","day":"19","oa":1,"month":"05","related_material":{"record":[{"relation":"used_in_publication","status":"public","id":"13267"}]},"author":[{"full_name":"Danzl, Johann G","first_name":"Johann G","last_name":"Danzl","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8559-3973"}],"citation":{"ista":"Danzl JG. 2023. Research data for the publication ‘Dense 4D nanoscale reconstruction of living brain tissue’, Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/AT:ISTA:12817\">10.15479/AT:ISTA:12817</a>.","mla":"Danzl, Johann G. <i>Research Data for the Publication “Dense 4D Nanoscale Reconstruction of Living Brain Tissue.”</i> Institute of Science and Technology Austria, 2023, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:12817\">10.15479/AT:ISTA:12817</a>.","ama":"Danzl JG. Research data for the publication “Dense 4D nanoscale reconstruction of living brain tissue.” 2023. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:12817\">10.15479/AT:ISTA:12817</a>","apa":"Danzl, J. G. (2023). Research data for the publication “Dense 4D nanoscale reconstruction of living brain tissue.” Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:12817\">https://doi.org/10.15479/AT:ISTA:12817</a>","short":"J.G. Danzl, (2023).","chicago":"Danzl, Johann G. “Research Data for the Publication ‘Dense 4D Nanoscale Reconstruction of Living Brain Tissue.’” Institute of Science and Technology Austria, 2023. <a href=\"https://doi.org/10.15479/AT:ISTA:12817\">https://doi.org/10.15479/AT:ISTA:12817</a>.","ieee":"J. G. Danzl, “Research data for the publication ‘Dense 4D nanoscale reconstruction of living brain tissue.’” Institute of Science and Technology Austria, 2023."},"corr_author":"1","abstract":[{"text":"3D-reconstruction of living brain tissue down to 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, it has been hindered by insufficient 3D-resolution, inadequate signal-to-noise-ratio, and prohibitive light burden in optical imaging, whereas electron microscopy is inherently static. Here we solved these challenges by developing an integrated optical/machine learning technology, LIONESS (Live Information-Optimized Nanoscopy Enabling Saturated Segmentation). It leverages optical modifications to stimulated emission depletion (STED) microscopy in comprehensively, extracellularly labelled tissue and prior information on sample structure via machine learning to simultaneously achieve isotropic super-resolution, high signal-to-noise-ratio, and compatibility with living tissue. This allows dense deep-learning-based instance segmentation and 3D-reconstruction at synapse level incorporating molecular, activity, and morphodynamic information. LIONESS opens up avenues for studying the dynamic functional (nano-)architecture of living brain tissue.","lang":"eng"}],"date_published":"2023-05-19T00:00:00Z","acknowledgement":"We thank J. Vorlaufer, N. Agudelo, A. Wartak for microscope maintenance and troubleshooting, C. Kreuzinger and A. Freeman for technical assistance, and M. Šuplata for hardware control support, and Márcia Cunha dos Santos for initial exploration of software. We thank Paul Henderson for advice on deep-learning training and Michael Sixt, Scott Boyd, and Tamara Weiss for discussions and critical reading of the manuscript. Luke Lavis (Janelia Research Campus) generously provided JF585-HaloTag ligand. ","file_date_updated":"2023-05-18T19:51:52Z","has_accepted_license":"1","tmp":{"name":"Creative Commons Attribution-ShareAlike 4.0 International Public License (CC BY-SA 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","short":"CC BY-SA (4.0)","image":"/images/cc_by_sa.png"},"publisher":"Institute of Science and Technology Austria","contributor":[{"id":"39BDC62C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-2340-7431","last_name":"Velicky","first_name":"Philipp"},{"id":"3FB91342-F248-11E8-B48F-1D18A9856A87","first_name":"Eder","last_name":"Miguel Villalba"},{"id":"443DB6DE-F248-11E8-B48F-1D18A9856A87","last_name":"Michalska","first_name":"Julia M"},{"first_name":"Julia","last_name":"Lyudchik","id":"46E28B80-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Donglai","last_name":"Wei"},{"first_name":"Zudi","last_name":"Lin"},{"id":"63836096-4690-11EA-BD4E-32803DDC885E","orcid":"0000-0002-8698-3823","first_name":"Jake","last_name":"Watson"},{"last_name":"Troidl","first_name":"Jakob"},{"first_name":"Johanna","last_name":"Beyer"},{"id":"43DF3136-F248-11E8-B48F-1D18A9856A87","last_name":"Ben Simon","first_name":"Yoav"},{"last_name":"Sommer","first_name":"Christoph M","orcid":"0000-0003-1216-9105","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87"},{"id":"425C1CE8-F248-11E8-B48F-1D18A9856A87","last_name":"Jahr","first_name":"Wiebke"},{"last_name":"Cenameri","first_name":"Alban","id":"9ac8f577-2357-11eb-997a-e566c5550886"},{"last_name":"Broichhagen","first_name":"Johannes"},{"last_name":"Grant","first_name":"Seth G. 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data for Fig. 5d, Fig. 5d (N2V) and Fig. 5f-i, provided via an external link due to the large size (>10GB) of the datasets. ","relation":"research_data","url":"https://pub.ista.ac.at/group_danzl/data/CATS/"}]},"author":[{"id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8559-3973","last_name":"Danzl","first_name":"Johann G","full_name":"Danzl, Johann G"}],"month":"08","oa":1,"year":"2023","day":"04","date_created":"2023-06-07T07:15:12Z","acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"Bio"},{"_id":"PreCl"},{"_id":"LifeSc"},{"_id":"M-Shop"},{"_id":"E-Lib"}],"tmp":{"short":"CC BY-NC-SA (4.0)","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","image":"/images/cc_by_nc_sa.png"},"publisher":"Institute of Science and Technology Austria","has_accepted_license":"1","file_date_updated":"2023-08-04T13:19:47Z","date_published":"2023-08-04T00:00:00Z","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)","corr_author":"1","abstract":[{"lang":"eng","text":"Mapping the complex and dense arrangement of cells and their connectivity in brain tissue demands nanoscale spatial resolution imaging. Super-resolution optical microscopy excels at visualizing specific molecules and individual cells but fails to provide tissue context. Here, we developed Comprehensive Analysis of Tissues across Scales (CATS), a technology to densely map brain tissue architecture from millimeter regional to nanometer synaptic scales in diverse chemically fixed brain preparations, including rodent and human. CATS uses fixation-compatible extracellular labeling and optical imaging, including stimulated emission depletion or expansion microscopy, to comprehensively delineate cellular structures. It enables three-dimensional reconstruction of single synapses and mapping of synaptic connectivity by identification and analysis of putative synaptic cleft regions. Applying CATS to the mouse hippocampal mossy fiber circuitry, we reconstructed and quantified the synaptic input and output structure of identified neurons. We furthermore demonstrate applicability to clinically derived human tissue samples, including formalin-fixed paraffin-embedded routine diagnostic specimens, for visualizing the cellular architecture of brain tissue in health and disease."}],"citation":{"ieee":"J. G. Danzl, “Research data for the publication ‘Imaging brain tissue architecture across millimeter to nanometer scales.’” Institute of Science and Technology Austria, 2023.","chicago":"Danzl, Johann G. “Research Data for the Publication ‘Imaging Brain Tissue Architecture across Millimeter to Nanometer Scales.’” Institute of Science and Technology Austria, 2023. <a href=\"https://doi.org/10.15479/AT:ISTA:13126\">https://doi.org/10.15479/AT:ISTA:13126</a>.","short":"J.G. Danzl, (2023).","apa":"Danzl, J. G. (2023). Research data for the publication “Imaging brain tissue architecture across millimeter to nanometer scales.” Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:13126\">https://doi.org/10.15479/AT:ISTA:13126</a>","ama":"Danzl JG. Research data for the publication “Imaging brain tissue architecture across millimeter to nanometer scales.” 2023. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:13126\">10.15479/AT:ISTA:13126</a>","mla":"Danzl, Johann G. <i>Research Data for the Publication “Imaging Brain Tissue Architecture across Millimeter to Nanometer Scales.”</i> Institute of Science and Technology Austria, 2023, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:13126\">10.15479/AT:ISTA:13126</a>.","ista":"Danzl JG. 2023. Research data for the publication ‘Imaging brain tissue architecture across millimeter to nanometer scales’, Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/AT:ISTA:13126\">10.15479/AT:ISTA:13126</a>."}},{"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>.","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.","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>","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."},"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."}],"corr_author":"1","publication":"Nature Methods","date_published":"2023-08-01T00:00:00Z","file_date_updated":"2025-02-26T08:01:57Z","external_id":{"isi":["001025621500001"],"pmid":["37429995"]},"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":{"issn":["1548-7091"],"eissn":["1548-7105"]},"OA_place":"publisher","pmid":1,"has_accepted_license":"1","publisher":"Springer Nature","isi":1,"tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png"},"volume":20,"acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"Bio"},{"_id":"PreCl"},{"_id":"E-Lib"},{"_id":"LifeSc"},{"_id":"M-Shop"}],"date_created":"2023-07-23T22:01:13Z","day":"01","year":"2023","oa":1,"month":"08","quality_controlled":"1","related_material":{"record":[{"id":"12817","status":"public","relation":"research_data"},{"status":"public","id":"14770","relation":"shorter_version"},{"relation":"dissertation_contains","status":"public","id":"18674"},{"relation":"earlier_version","id":"11943","status":"public"}],"link":[{"relation":"software","url":"https://github.com/danzllab/LIONESS"}]},"author":[{"full_name":"Velicky, Philipp","orcid":"0000-0002-2340-7431","id":"39BDC62C-F248-11E8-B48F-1D18A9856A87","first_name":"Philipp","last_name":"Velicky"},{"first_name":"Eder","last_name":"Miguel Villalba","id":"3FB91342-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5665-0430","full_name":"Miguel Villalba, Eder"},{"full_name":"Michalska, Julia M","last_name":"Michalska","first_name":"Julia M","orcid":"0000-0003-3862-1235","id":"443DB6DE-F248-11E8-B48F-1D18A9856A87"},{"id":"46E28B80-F248-11E8-B48F-1D18A9856A87","first_name":"Julia","last_name":"Lyudchik","full_name":"Lyudchik, Julia"},{"full_name":"Wei, Donglai","first_name":"Donglai","last_name":"Wei"},{"full_name":"Lin, Zudi","last_name":"Lin","first_name":"Zudi"},{"first_name":"Jake","last_name":"Watson","id":"63836096-4690-11EA-BD4E-32803DDC885E","orcid":"0000-0002-8698-3823","full_name":"Watson, Jake"},{"first_name":"Jakob","last_name":"Troidl","full_name":"Troidl, Jakob"},{"full_name":"Beyer, Johanna","first_name":"Johanna","last_name":"Beyer"},{"first_name":"Yoav","last_name":"Ben Simon","id":"43DF3136-F248-11E8-B48F-1D18A9856A87","full_name":"Ben Simon, Yoav"},{"id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-1216-9105","last_name":"Sommer","first_name":"Christoph M","full_name":"Sommer, Christoph M"},{"full_name":"Jahr, Wiebke","orcid":"0000-0003-0201-2315","id":"425C1CE8-F248-11E8-B48F-1D18A9856A87","last_name":"Jahr","first_name":"Wiebke"},{"id":"9ac8f577-2357-11eb-997a-e566c5550886","first_name":"Alban","last_name":"Cenameri","full_name":"Cenameri, Alban"},{"last_name":"Broichhagen","first_name":"Johannes","full_name":"Broichhagen, Johannes"},{"full_name":"Grant, Seth G.N.","first_name":"Seth G.N.","last_name":"Grant"},{"full_name":"Jonas, Peter M","first_name":"Peter M","last_name":"Jonas","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5001-4804"},{"id":"3E57A680-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7673-7178","first_name":"Gaia","last_name":"Novarino","full_name":"Novarino, Gaia"},{"first_name":"Hanspeter","last_name":"Pfister","full_name":"Pfister, Hanspeter"},{"full_name":"Bickel, Bernd","first_name":"Bernd","last_name":"Bickel","id":"49876194-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-6511-9385"},{"last_name":"Danzl","first_name":"Johann G","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8559-3973","full_name":"Danzl, Johann G"}],"status":"public","publication_status":"published","date_updated":"2026-07-06T12:49:46Z","intvolume":"        20","scopus_import":"1","doi":"10.1038/s41592-023-01936-6","article_processing_charge":"Yes (in subscription journal)","OA_type":"hybrid","language":[{"iso":"eng"}],"ddc":["570"],"file":[{"file_size":14103039,"relation":"main_file","creator":"dernst","file_id":"19088","content_type":"application/pdf","date_created":"2025-02-26T08:01:57Z","success":1,"file_name":"2023_NatureMethods_Velicky.pdf","checksum":"a68e845780a82ea36d0d4d3212a87c10","access_level":"open_access","date_updated":"2025-02-26T08:01:57Z"}],"_id":"13267","title":"Dense 4D nanoscale reconstruction of living brain tissue","department":[{"_id":"PeJo"},{"_id":"GaNo"},{"_id":"BeBi"},{"_id":"JoDa"},{"_id":"Bio"}],"type":"journal_article","oa_version":"Published Version","article_type":"original","project":[{"call_identifier":"FWF","name":"Optical control of synaptic function via adhesion molecules","grant_number":"I03600","_id":"265CB4D0-B435-11E9-9278-68D0E5697425"},{"name":"Molecular Drug Targets","grant_number":"W1232","call_identifier":"FWF","_id":"2548AE96-B435-11E9-9278-68D0E5697425"},{"_id":"25C5A090-B435-11E9-9278-68D0E5697425","name":"Synaptic communication in neuronal microcircuits","grant_number":"Z00312","call_identifier":"FWF"},{"name":"High content imaging to decode human immune cell interactions in health and allergic disease","grant_number":"LS18-022","_id":"23889792-32DE-11EA-91FC-C7463DDC885E"},{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","name":"International IST Doctoral Program","grant_number":"665385","call_identifier":"H2020"},{"call_identifier":"H2020","name":"MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and Modeling","grant_number":"715767","_id":"24F9549A-B435-11E9-9278-68D0E5697425"},{"_id":"25444568-B435-11E9-9278-68D0E5697425","grant_number":"715508","name":"Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo and in vitro Models","call_identifier":"H2020"},{"grant_number":"692692","name":"Biophysics and circuit function of a giant cortical glutamatergic synapse","call_identifier":"H2020","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425"},{"call_identifier":"H2020","grant_number":"101026635","name":"Synaptic computations of the hippocampal CA3 circuitry","_id":"fc2be41b-9c52-11eb-aca3-faa90aa144e9"},{"name":"High-speed 3D-nanoscopy to study the role of adhesion during 3D cell migration","grant_number":"LT00057","_id":"2668BFA0-B435-11E9-9278-68D0E5697425"}],"ec_funded":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","page":"1256-1265"},{"abstract":[{"text":"Deep learning is best known for its empirical success across a wide range of applications\r\nspanning computer vision, natural language processing and speech. Of equal significance,\r\nthough perhaps less known, are its ramifications for learning theory: deep networks have\r\nbeen observed to perform surprisingly well in the high-capacity regime, aka the overfitting\r\nor underspecified regime. Classically, this regime on the far right of the bias-variance curve\r\nis associated with poor generalisation; however, recent experiments with deep networks\r\nchallenge this view.\r\n\r\nThis thesis is devoted to investigating various aspects of underspecification in deep learning.\r\nFirst, we argue that deep learning models are underspecified on two levels: a) any given\r\ntraining dataset can be fit by many different functions, and b) any given function can be\r\nexpressed by many different parameter configurations. We refer to the second kind of\r\nunderspecification as parameterisation redundancy and we precisely characterise its extent.\r\nSecond, we characterise the implicit criteria (the inductive bias) that guide learning in the\r\nunderspecified regime. Specifically, we consider a nonlinear but tractable classification\r\nsetting, and show that given the choice, neural networks learn classifiers with a large margin.\r\nThird, we consider learning scenarios where the inductive bias is not by itself sufficient to\r\ndeal with underspecification. We then study different ways of ‘tightening the specification’: i)\r\nIn the setting of representation learning with variational autoencoders, we propose a hand-\r\ncrafted regulariser based on mutual information. ii) In the setting of binary classification, we\r\nconsider soft-label (real-valued) supervision. We derive a generalisation bound for linear\r\nnetworks supervised in this way and verify that soft labels facilitate fast learning. Finally, we\r\nexplore an application of soft-label supervision to the training of multi-exit models.","lang":"eng"}],"corr_author":"1","citation":{"ieee":"M. Phuong, “Underspecification in deep learning,” Institute of Science and Technology Austria, 2021.","apa":"Phuong, M. (2021). <i>Underspecification in deep learning</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:9418\">https://doi.org/10.15479/AT:ISTA:9418</a>","chicago":"Phuong, Mary. “Underspecification in Deep Learning.” Institute of Science and Technology Austria, 2021. <a href=\"https://doi.org/10.15479/AT:ISTA:9418\">https://doi.org/10.15479/AT:ISTA:9418</a>.","short":"M. Phuong, Underspecification in Deep Learning, Institute of Science and Technology Austria, 2021.","mla":"Phuong, Mary. <i>Underspecification in Deep Learning</i>. Institute of Science and Technology Austria, 2021, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:9418\">10.15479/AT:ISTA:9418</a>.","ama":"Phuong M. Underspecification in deep learning. 2021. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:9418\">10.15479/AT:ISTA:9418</a>","ista":"Phuong M. 2021. Underspecification in deep learning. Institute of Science and Technology Austria."},"date_published":"2021-05-30T00:00:00Z","file_date_updated":"2021-05-24T11:56:02Z","publication_identifier":{"issn":["2663-337X"]},"OA_place":"publisher","publisher":"Institute of Science and Technology Austria","has_accepted_license":"1","day":"30","year":"2021","acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"CampIT"},{"_id":"E-Lib"}],"alternative_title":["ISTA Thesis"],"date_created":"2021-05-24T13:06:23Z","oa":1,"related_material":{"record":[{"relation":"part_of_dissertation","id":"7435","status":"deleted"},{"id":"7481","status":"public","relation":"part_of_dissertation"},{"id":"9416","status":"public","relation":"part_of_dissertation"},{"relation":"part_of_dissertation","status":"public","id":"7479"}]},"author":[{"full_name":"Bui Thi Mai, Phuong","id":"3EC6EE64-F248-11E8-B48F-1D18A9856A87","first_name":"Phuong","last_name":"Bui Thi Mai"}],"month":"05","date_updated":"2026-04-08T07:01:17Z","status":"public","publication_status":"published","doi":"10.15479/AT:ISTA:9418","degree_awarded":"PhD","ddc":["000"],"file":[{"access_level":"open_access","date_updated":"2021-05-24T11:22:29Z","file_name":"mph-thesis-v519-pdfimages.pdf","checksum":"4f0abe64114cfed264f9d36e8d1197e3","success":1,"content_type":"application/pdf","date_created":"2021-05-24T11:22:29Z","file_id":"9419","creator":"bphuong","file_size":2673905,"relation":"main_file"},{"relation":"source_file","file_size":92995100,"file_id":"9420","creator":"bphuong","content_type":"application/zip","date_created":"2021-05-24T11:56:02Z","access_level":"closed","date_updated":"2021-05-24T11:56:02Z","file_name":"thesis.zip","checksum":"f5699e876bc770a9b0df8345a77720a2"}],"_id":"9418","article_processing_charge":"No","language":[{"iso":"eng"}],"supervisor":[{"id":"40C20FD2-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8622-7887","last_name":"Lampert","first_name":"Christoph","full_name":"Lampert, Christoph"}],"department":[{"_id":"GradSch"},{"_id":"ChLa"}],"title":"Underspecification in deep learning","type":"dissertation","oa_version":"Published Version","page":"125","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd"},{"status":"public","publication_status":"published","date_updated":"2026-04-08T07:21:28Z","doi":"10.15479/AT:ISTA:8032","degree_awarded":"PhD","language":[{"iso":"eng"}],"article_processing_charge":"No","ddc":["514"],"file":[{"date_updated":"2020-07-14T12:48:08Z","access_level":"open_access","checksum":"bd8be6e4f1addc863dfcc0fad29ee9c3","file_name":"Kristof_Huszar-Thesis.pdf","date_created":"2020-06-26T10:03:58Z","content_type":"application/pdf","file_id":"8034","creator":"khuszar","file_size":2637562,"relation":"main_file"},{"creator":"khuszar","file_id":"8035","file_size":7163491,"relation":"source_file","checksum":"d5f8456202b32f4a77552ef47a2837d1","file_name":"Kristof_Huszar-Thesis-source.zip","date_updated":"2020-07-14T12:48:08Z","access_level":"closed","date_created":"2020-06-26T10:10:06Z","content_type":"application/x-zip-compressed"}],"_id":"8032","title":"Combinatorial width parameters for 3-dimensional manifolds","department":[{"_id":"UlWa"}],"supervisor":[{"full_name":"Wagner, Uli","id":"36690CA2-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-1494-0568","first_name":"Uli","last_name":"Wagner"},{"last_name":"Spreer","first_name":"Jonathan","full_name":"Spreer, Jonathan"}],"type":"dissertation","oa_version":"Published Version","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","page":"xviii+120","citation":{"ieee":"K. Huszár, “Combinatorial width parameters for 3-dimensional manifolds,” Institute of Science and Technology Austria, 2020.","apa":"Huszár, K. (2020). <i>Combinatorial width parameters for 3-dimensional manifolds</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:8032\">https://doi.org/10.15479/AT:ISTA:8032</a>","short":"K. Huszár, Combinatorial Width Parameters for 3-Dimensional Manifolds, Institute of Science and Technology Austria, 2020.","chicago":"Huszár, Kristóf. “Combinatorial Width Parameters for 3-Dimensional Manifolds.” Institute of Science and Technology Austria, 2020. <a href=\"https://doi.org/10.15479/AT:ISTA:8032\">https://doi.org/10.15479/AT:ISTA:8032</a>.","mla":"Huszár, Kristóf. <i>Combinatorial Width Parameters for 3-Dimensional Manifolds</i>. Institute of Science and Technology Austria, 2020, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:8032\">10.15479/AT:ISTA:8032</a>.","ama":"Huszár K. Combinatorial width parameters for 3-dimensional manifolds. 2020. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:8032\">10.15479/AT:ISTA:8032</a>","ista":"Huszár K. 2020. Combinatorial width parameters for 3-dimensional manifolds. Institute of Science and Technology Austria."},"abstract":[{"text":"Algorithms in computational 3-manifold topology typically take a triangulation as an input and return topological information about the underlying 3-manifold. However, extracting the desired information from a triangulation (e.g., evaluating an invariant) is often computationally very expensive. In recent years this complexity barrier has been successfully tackled in some cases by importing ideas from the theory of parameterized algorithms into the realm of 3-manifolds. Various computationally hard problems were shown to be efficiently solvable for input triangulations that are sufficiently “tree-like.”\r\nIn this thesis we focus on the key combinatorial parameter in the above context: we consider the treewidth of a compact, orientable 3-manifold, i.e., the smallest treewidth of the dual graph of any triangulation thereof. By building on the work of Scharlemann–Thompson and Scharlemann–Schultens–Saito on generalized Heegaard splittings, and on the work of Jaco–Rubinstein on layered triangulations, we establish quantitative relations between the treewidth and classical topological invariants of a 3-manifold. In particular, among other results, we show that the treewidth of a closed, orientable, irreducible, non-Haken 3-manifold is always within a constant factor of its Heegaard genus.","lang":"eng"}],"corr_author":"1","file_date_updated":"2020-07-14T12:48:08Z","date_published":"2020-06-26T00:00:00Z","OA_place":"publisher","publication_identifier":{"isbn":["978-3-99078-006-0"],"issn":["2663-337X"]},"has_accepted_license":"1","publisher":"Institute of Science and Technology Austria","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png"},"acknowledged_ssus":[{"_id":"E-Lib"},{"_id":"CampIT"}],"alternative_title":["ISTA Thesis"],"date_created":"2020-06-26T10:00:36Z","day":"26","year":"2020","oa":1,"month":"06","related_material":{"record":[{"relation":"dissertation_contains","id":"6556","status":"public"},{"id":"7093","status":"public","relation":"dissertation_contains"}]},"author":[{"full_name":"Huszár, Kristóf","first_name":"Kristóf","last_name":"Huszár","orcid":"0000-0002-5445-5057","id":"33C26278-F248-11E8-B48F-1D18A9856A87"}]},{"user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","page":"141","oa_version":"Published Version","type":"dissertation","title":"Metabolic regulation of Drosophila macrophage tissue invasion","department":[{"_id":"DaSi"}],"supervisor":[{"id":"3D224B9E-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8323-8353","first_name":"Daria E","last_name":"Siekhaus","full_name":"Siekhaus, Daria E"}],"article_processing_charge":"No","language":[{"iso":"eng"}],"_id":"8983","file":[{"relation":"main_file","file_size":10848175,"file_id":"8984","creator":"semtenan","embargo":"2021-12-30","content_type":"application/pdf","date_created":"2020-12-30T15:34:01Z","file_name":"Thesis_Shamsi_Emtenani_pdfA.pdf","checksum":"ec2797ab7a6f253b35df0572b36d1b43","access_level":"open_access","date_updated":"2021-12-31T23:30:04Z"},{"relation":"source_file","file_size":10073648,"file_id":"8985","creator":"semtenan","content_type":"application/pdf","date_created":"2020-12-30T15:37:36Z","access_level":"closed","date_updated":"2021-12-31T23:30:04Z","file_name":"Thesis_Shamsi_Emtenani_source file.pdf","embargo_to":"open_access","checksum":"cc30e6608a9815414024cf548dff3b3a"}],"ddc":["570"],"degree_awarded":"PhD","doi":"10.15479/AT:ISTA:8983","publication_status":"published","status":"public","date_updated":"2026-04-08T07:28:54Z","month":"12","author":[{"full_name":"Emtenani, Shamsi","id":"49D32318-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-6981-6938","first_name":"Shamsi","last_name":"Emtenani"}],"related_material":{"record":[{"relation":"part_of_dissertation","status":"public","id":"8557"},{"relation":"part_of_dissertation","status":"public","id":"6187"}]},"oa":1,"date_created":"2020-12-30T15:41:26Z","acknowledged_ssus":[{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"E-Lib"},{"_id":"CampIT"}],"alternative_title":["ISTA Thesis"],"year":"2020","day":"30","has_accepted_license":"1","publisher":"Institute of Science and Technology Austria","OA_place":"publisher","publication_identifier":{"issn":["2663-337X"]},"date_published":"2020-12-30T00:00:00Z","acknowledgement":"Also, I would like to express my appreciation and thanks to the Bioimaging facility, LSF, GSO, library, and IT people at IST Austria.","file_date_updated":"2021-12-31T23:30:04Z","citation":{"ieee":"S. Emtenani, “Metabolic regulation of Drosophila macrophage tissue invasion,” Institute of Science and Technology Austria, 2020.","apa":"Emtenani, S. (2020). <i>Metabolic regulation of Drosophila macrophage tissue invasion</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:8983\">https://doi.org/10.15479/AT:ISTA:8983</a>","short":"S. Emtenani, Metabolic Regulation of Drosophila Macrophage Tissue Invasion, Institute of Science and Technology Austria, 2020.","chicago":"Emtenani, Shamsi. “Metabolic Regulation of Drosophila Macrophage Tissue Invasion.” Institute of Science and Technology Austria, 2020. <a href=\"https://doi.org/10.15479/AT:ISTA:8983\">https://doi.org/10.15479/AT:ISTA:8983</a>.","mla":"Emtenani, Shamsi. <i>Metabolic Regulation of Drosophila Macrophage Tissue Invasion</i>. Institute of Science and Technology Austria, 2020, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:8983\">10.15479/AT:ISTA:8983</a>.","ama":"Emtenani S. Metabolic regulation of Drosophila macrophage tissue invasion. 2020. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:8983\">10.15479/AT:ISTA:8983</a>","ista":"Emtenani S. 2020. Metabolic regulation of Drosophila macrophage tissue invasion. Institute of Science and Technology Austria."},"corr_author":"1","abstract":[{"lang":"eng","text":"Metabolic adaptation is a critical feature of migrating cells. It tunes the metabolic programs of migrating cells to allow them to efficiently exert their crucial roles in development, inflammatory responses and tumor metastasis. Cell migration through physically challenging contexts requires energy. However, how the metabolic reprogramming that underlies in vivo cell invasion is controlled is still unanswered. In my PhD project, I identify a novel conserved metabolic shift in Drosophila melanogaster immune cells that by modulating their bioenergetic potential controls developmentally programmed tissue invasion. We show that this regulation requires a novel conserved nuclear protein, named Atossa. Atossa enhances the transcription of a set of proteins, including an RNA helicase Porthos and two metabolic enzymes, each of which increases the tissue invasion of leading Drosophila macrophages and can rescue the atossa mutant phenotype. Porthos selectively regulates the translational efficiency of a subset of mRNAs containing a 5’-UTR cis-regulatory TOP-like sequence. These 5’TOPL mRNA targets encode mitochondrial-related proteins, including subunits of mitochondrial oxidative phosphorylation (OXPHOS) components III and V and other metabolic-related proteins. Porthos powers up mitochondrial OXPHOS to engender a sufficient ATP supply, which is required for tissue invasion of leading macrophages. Atossa’s two vertebrate orthologs rescue the invasion defect. In my PhD project, I elucidate that Atossa displays a conserved developmental metabolic control to modulate metabolic capacities and the cellular energy state, through altered transcription and translation, to aid the tissue infiltration of leading cells into energy demanding barriers."}]}]
