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To the observer it is therefore intriguing when a moving collective exhibits order. Collective motion of flocks of birds, schools of fish or swarms of self-propelled particles or robots have been studied extensively over the past decades but the mechanisms involved in the transition from chaos to order remain unclear. Here, the interactions, that in most systems give rise to chaos, sustain order. In this thesis we investigate mechanisms that preserve, destabilize or lead to the ordered state. We show that endothelial cells migrating in circular confinements transition to a collective rotating state and concomitantly synchronize the frequencies of nucleating actin waves within individual cells. Consequently, the frequency dependent cell migration speed uniformizes across the population. Complementary to the WAVE dependent nucleation of traveling actin waves, we show that in leukocytes the actin polymerization depending on WASp generates pushing forces locally at stationary patches. Next, in pipe flows, we study methods to disrupt the self--sustaining cycle of turbulence and therefore relaminarize the flow. While we find in pulsating flow conditions that turbulence emerges through a helical instability during the decelerating phase. Finally, we show quantitatively in brain slices of mice that wild-type control neurons can compensate the migratory deficits of a genetically modified neuronal sub--population in the developing cortex. "}],"file_date_updated":"2023-11-15T09:52:54Z","department":[{"_id":"GradSch"},{"_id":"MiSi"}],"ddc":["530","570"],"supervisor":[{"id":"3A374330-F248-11E8-B48F-1D18A9856A87","first_name":"Björn","orcid":"0000-0003-2057-2754","full_name":"Hof, Björn","last_name":"Hof"}],"date_updated":"2023-11-30T10:55:13Z","status":"public","keyword":["Synchronization","Collective Movement","Active Matter","Cell Migration","Active Colloids"],"type":"dissertation","_id":"14530","doi":"10.15479/14530","date_published":"2023-11-16T00:00:00Z","date_created":"2023-11-15T09:59:03Z","page":"260","day":"16","has_accepted_license":"1","year":"2023","publisher":"Institute of Science and Technology Austria","oa":1,"title":"Synchronization in collectively moving active matter","author":[{"first_name":"Michael","id":"3BE60946-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-4844-6311","full_name":"Riedl, Michael","last_name":"Riedl"}],"article_processing_charge":"No","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","citation":{"short":"M. Riedl, Synchronization in Collectively Moving Active Matter, Institute of Science and Technology Austria, 2023.","ieee":"M. Riedl, “Synchronization in collectively moving active matter,” Institute of Science and Technology Austria, 2023.","ama":"Riedl M. Synchronization in collectively moving active matter. 2023. doi:10.15479/14530","apa":"Riedl, M. (2023). Synchronization in collectively moving active matter. Institute of Science and Technology Austria. https://doi.org/10.15479/14530","mla":"Riedl, Michael. Synchronization in Collectively Moving Active Matter. Institute of Science and Technology Austria, 2023, doi:10.15479/14530.","ista":"Riedl M. 2023. Synchronization in collectively moving active matter. Institute of Science and Technology Austria.","chicago":"Riedl, Michael. “Synchronization in Collectively Moving Active Matter.” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/14530."}},{"_id":"6354","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"type":"journal_article","keyword":["Platelets","Cell migration","Bacteria","Shear flow","Fibrinogen","E. coli"],"status":"public","date_updated":"2021-01-12T08:07:12Z","ddc":["570"],"file_date_updated":"2020-07-14T12:47:28Z","department":[{"_id":"MiSi"}],"abstract":[{"text":"Blood platelets are critical for hemostasis and thrombosis, but also play diverse roles during immune responses. We have recently reported that platelets migrate at sites of infection in vitro and in vivo. Importantly, platelets use their ability to migrate to collect and bundle fibrin (ogen)-bound bacteria accomplishing efficient intravascular bacterial trapping. Here, we describe a method that allows analyzing platelet migration in vitro, focusing on their ability to collect bacteria and trap bacteria under flow.","lang":"eng"}],"oa_version":"Published Version","intvolume":" 8","month":"09","publication_status":"published","publication_identifier":{"issn":["2331-8325"]},"language":[{"iso":"eng"}],"file":[{"file_name":"2018_BioProtocol_Fan.pdf","date_created":"2019-04-30T08:04:33Z","creator":"dernst","file_size":2928337,"date_updated":"2020-07-14T12:47:28Z","checksum":"d4588377e789da7f360b553ae02c5119","file_id":"6360","relation":"main_file","access_level":"open_access","content_type":"application/pdf"}],"ec_funded":1,"volume":8,"issue":"18","article_number":"e3018","project":[{"name":"Mechanical Adaptation of Lamellipodial Actin Networks in Migrating Cells","grant_number":"747687","_id":"260AA4E2-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"}],"citation":{"chicago":"Fan, Shuxia, Michael Lorenz, Steffen Massberg, and Florian R Gärtner. “Platelet Migration and Bacterial Trapping Assay under Flow.” Bio-Protocol. Bio-Protocol, 2018. https://doi.org/10.21769/bioprotoc.3018.","ista":"Fan S, Lorenz M, Massberg S, Gärtner FR. 2018. Platelet migration and bacterial trapping assay under flow. Bio-Protocol. 8(18), e3018.","mla":"Fan, Shuxia, et al. “Platelet Migration and Bacterial Trapping Assay under Flow.” Bio-Protocol, vol. 8, no. 18, e3018, Bio-Protocol, 2018, doi:10.21769/bioprotoc.3018.","short":"S. Fan, M. Lorenz, S. Massberg, F.R. Gärtner, Bio-Protocol 8 (2018).","ieee":"S. Fan, M. Lorenz, S. Massberg, and F. R. Gärtner, “Platelet migration and bacterial trapping assay under flow,” Bio-Protocol, vol. 8, no. 18. Bio-Protocol, 2018.","apa":"Fan, S., Lorenz, M., Massberg, S., & Gärtner, F. R. (2018). Platelet migration and bacterial trapping assay under flow. Bio-Protocol. Bio-Protocol. https://doi.org/10.21769/bioprotoc.3018","ama":"Fan S, Lorenz M, Massberg S, Gärtner FR. Platelet migration and bacterial trapping assay under flow. Bio-Protocol. 2018;8(18). doi:10.21769/bioprotoc.3018"},"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","author":[{"last_name":"Fan","full_name":"Fan, Shuxia","first_name":"Shuxia"},{"full_name":"Lorenz, Michael","last_name":"Lorenz","first_name":"Michael"},{"first_name":"Steffen","full_name":"Massberg, Steffen","last_name":"Massberg"},{"last_name":"Gärtner","full_name":"Gärtner, Florian R","orcid":"0000-0001-6120-3723","first_name":"Florian R","id":"397A88EE-F248-11E8-B48F-1D18A9856A87"}],"title":"Platelet migration and bacterial trapping assay under flow","acknowledgement":" FöFoLe project 947 (F.G.), the Friedrich-Baur-Stiftung project 41/16 (F.G.)","oa":1,"quality_controlled":"1","publisher":"Bio-Protocol","year":"2018","has_accepted_license":"1","publication":"Bio-Protocol","day":"20","date_created":"2019-04-29T09:40:33Z","date_published":"2018-09-20T00:00:00Z","doi":"10.21769/bioprotoc.3018"},{"has_accepted_license":"1","year":"2017","datarep_id":"75","day":"04","file":[{"access_level":"open_access","relation":"main_file","content_type":"application/octet-stream","file_id":"5596","checksum":"cb7a2fa622460eca6231d659ce590e32","creator":"system","date_updated":"2020-07-14T12:47:04Z","file_size":799,"date_created":"2018-12-12T13:02:29Z","file_name":"IST-2017-75-v1+1_FMI.m"}],"doi":"10.15479/AT:ISTA:75","date_published":"2017-10-04T00:00:00Z","date_created":"2018-12-12T12:31:35Z","abstract":[{"lang":"eng","text":"Matlab script to calculate the forward migration indexes (/) from TrackMate spot-statistics files."}],"oa_version":"Published Version","publisher":"Institute of Science and Technology Austria","oa":1,"month":"10","citation":{"mla":"Hauschild, Robert. Forward Migration Indexes. Institute of Science and Technology Austria, 2017, doi:10.15479/AT:ISTA:75.","apa":"Hauschild, R. (2017). Forward migration indexes. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:75","ama":"Hauschild R. Forward migration indexes. 2017. doi:10.15479/AT:ISTA:75","ieee":"R. Hauschild, “Forward migration indexes.” Institute of Science and Technology Austria, 2017.","short":"R. Hauschild, (2017).","chicago":"Hauschild, Robert. “Forward Migration Indexes.” Institute of Science and Technology Austria, 2017. https://doi.org/10.15479/AT:ISTA:75.","ista":"Hauschild R. 2017. Forward migration indexes, Institute of Science and Technology Austria, 10.15479/AT:ISTA:75."},"date_updated":"2024-02-21T13:47:14Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","ddc":["570"],"author":[{"id":"4E01D6B4-F248-11E8-B48F-1D18A9856A87","first_name":"Robert","last_name":"Hauschild","orcid":"0000-0001-9843-3522","full_name":"Hauschild, Robert"}],"article_processing_charge":"No","title":"Forward migration indexes","department":[{"_id":"Bio"}],"file_date_updated":"2020-07-14T12:47:04Z","_id":"5570","type":"research_data","tmp":{"image":"/images/cc_0.png","legal_code_url":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","name":"Creative Commons Public Domain Dedication (CC0 1.0)","short":"CC0 (1.0)"},"status":"public","keyword":["Cell migration","tracking","forward migration index","FMI"]},{"doi":"10.15479/AT:ISTA:44","date_published":"2016-07-08T00:00:00Z","date_created":"2018-12-12T12:31:31Z","day":"08","file":[{"creator":"system","date_updated":"2020-07-14T12:47:02Z","file_size":20692,"date_created":"2018-12-12T13:03:03Z","file_name":"IST-2016-44-v1+1_migrationAnalyzer.zip","access_level":"open_access","relation":"main_file","content_type":"application/zip","file_id":"5621","checksum":"9f96cddbcd4ed689f48712ffe234d5e5"}],"has_accepted_license":"1","year":"2016","datarep_id":"44","month":"07","publisher":"Institute of Science and Technology Austria","oa":1,"oa_version":"Published Version","abstract":[{"lang":"eng","text":"This FIJI script calculates the population average of the migration speed as a function of time of all cells from wide field microscopy movies."}],"file_date_updated":"2020-07-14T12:47:02Z","department":[{"_id":"Bio"}],"title":"Fiji script to determine average speed and direction of migration of cells","author":[{"first_name":"Robert","id":"4E01D6B4-F248-11E8-B48F-1D18A9856A87","full_name":"Hauschild, Robert","orcid":"0000-0001-9843-3522","last_name":"Hauschild"}],"article_processing_charge":"No","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","ddc":["570"],"citation":{"mla":"Hauschild, Robert. Fiji Script to Determine Average Speed and Direction of Migration of Cells. Institute of Science and Technology Austria, 2016, doi:10.15479/AT:ISTA:44.","short":"R. Hauschild, (2016).","ieee":"R. Hauschild, “Fiji script to determine average speed and direction of migration of cells.” Institute of Science and Technology Austria, 2016.","ama":"Hauschild R. Fiji script to determine average speed and direction of migration of cells. 2016. doi:10.15479/AT:ISTA:44","apa":"Hauschild, R. (2016). Fiji script to determine average speed and direction of migration of cells. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:44","chicago":"Hauschild, Robert. “Fiji Script to Determine Average Speed and Direction of Migration of Cells.” Institute of Science and Technology Austria, 2016. https://doi.org/10.15479/AT:ISTA:44.","ista":"Hauschild R. 2016. Fiji script to determine average speed and direction of migration of cells, Institute of Science and Technology Austria, 10.15479/AT:ISTA:44."},"date_updated":"2024-02-21T13:50:06Z","status":"public","keyword":["cell migration","wide field microscopy","FIJI"],"type":"research_data","tmp":{"image":"/images/cc_0.png","legal_code_url":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","name":"Creative Commons Public Domain Dedication (CC0 1.0)","short":"CC0 (1.0)"},"_id":"5555"}]