[{"day":"16","degree_awarded":"PhD","doi":"10.15479/14530","abstract":[{"lang":"eng","text":"Most motions of many-body systems at any scale in nature with sufficient degrees of freedom tend to be chaotic; reaching from the orbital motion of planets, the air currents in our atmosphere, down to the water flowing through our pipelines or the movement of a population of bacteria. 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.  "}],"year":"2023","citation":{"chicago":"Riedl, Michael. “Synchronization in Collectively Moving Active Matter.” Institute of Science and Technology Austria, 2023. <a href=\"https://doi.org/10.15479/14530\">https://doi.org/10.15479/14530</a>.","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:<a href=\"https://doi.org/10.15479/14530\">10.15479/14530</a>","apa":"Riedl, M. (2023). <i>Synchronization in collectively moving active matter</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/14530\">https://doi.org/10.15479/14530</a>","ista":"Riedl M. 2023. Synchronization in collectively moving active matter. Institute of Science and Technology Austria.","short":"M. Riedl, Synchronization in Collectively Moving Active Matter, Institute of Science and Technology Austria, 2023.","mla":"Riedl, Michael. <i>Synchronization in Collectively Moving Active Matter</i>. Institute of Science and Technology Austria, 2023, doi:<a href=\"https://doi.org/10.15479/14530\">10.15479/14530</a>."},"date_updated":"2023-11-30T10:55:13Z","ddc":["530","570"],"department":[{"_id":"GradSch"},{"_id":"MiSi"}],"date_created":"2023-11-15T09:59:03Z","article_processing_charge":"No","publication_status":"published","title":"Synchronization in collectively moving active matter","alternative_title":["ISTA Thesis"],"_id":"14530","author":[{"id":"3BE60946-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-4844-6311","full_name":"Riedl, Michael","first_name":"Michael","last_name":"Riedl"}],"publisher":"Institute of Science and Technology Austria","page":"260","file_date_updated":"2023-11-15T09:52:54Z","publication_identifier":{"issn":["2663 - 337X"]},"oa":1,"supervisor":[{"first_name":"Björn","last_name":"Hof","orcid":"0000-0003-2057-2754","full_name":"Hof, Björn","id":"3A374330-F248-11E8-B48F-1D18A9856A87"}],"type":"dissertation","date_published":"2023-11-16T00:00:00Z","file":[{"access_level":"open_access","success":1,"relation":"main_file","creator":"mriedl","file_id":"14536","checksum":"52e1d0ab6c1abe59c82dfe8c9ff5f83a","file_size":36743942,"date_created":"2023-11-15T09:52:54Z","content_type":"application/pdf","file_name":"Thesis_Riedl_2023_corr.pdf","date_updated":"2023-11-15T09:52:54Z"}],"status":"public","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","related_material":{"record":[{"status":"public","relation":"part_of_dissertation","id":"10703"},{"id":"10791","relation":"part_of_dissertation","status":"public"},{"status":"public","id":"7932","relation":"part_of_dissertation"},{"id":"461","relation":"part_of_dissertation","status":"public"},{"status":"public","relation":"old_edition","id":"12726"}]},"acknowledged_ssus":[{"_id":"M-Shop"},{"_id":"Bio"}],"oa_version":"Updated Version","month":"11","has_accepted_license":"1","keyword":["Synchronization","Collective Movement","Active Matter","Cell Migration","Active Colloids"],"language":[{"iso":"eng"}]},{"page":"182","file_date_updated":"2022-09-03T22:30:04Z","publisher":"Institute of Science and Technology Austria","_id":"9962","author":[{"id":"38853E16-F248-11E8-B48F-1D18A9856A87","last_name":"Hansen","first_name":"Andi H","full_name":"Hansen, Andi H"}],"article_processing_charge":"No","date_created":"2021-08-29T12:36:50Z","department":[{"_id":"GradSch"},{"_id":"SiHi"}],"publication_status":"published","alternative_title":["ISTA Thesis"],"title":"Cell-autonomous gene function and non-cell-autonomous effects in radial projection neuron migration","ddc":["570"],"citation":{"apa":"Hansen, A. H. (2021). <i>Cell-autonomous gene function and non-cell-autonomous effects in radial projection neuron migration</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:9962\">https://doi.org/10.15479/at:ista:9962</a>","ama":"Hansen AH. Cell-autonomous gene function and non-cell-autonomous effects in radial projection neuron migration. 2021. doi:<a href=\"https://doi.org/10.15479/at:ista:9962\">10.15479/at:ista:9962</a>","ieee":"A. H. Hansen, “Cell-autonomous gene function and non-cell-autonomous effects in radial projection neuron migration,” Institute of Science and Technology Austria, 2021.","chicago":"Hansen, Andi H. “Cell-Autonomous Gene Function and Non-Cell-Autonomous Effects in Radial Projection Neuron Migration.” Institute of Science and Technology Austria, 2021. <a href=\"https://doi.org/10.15479/at:ista:9962\">https://doi.org/10.15479/at:ista:9962</a>.","mla":"Hansen, Andi H. <i>Cell-Autonomous Gene Function and Non-Cell-Autonomous Effects in Radial Projection Neuron Migration</i>. Institute of Science and Technology Austria, 2021, doi:<a href=\"https://doi.org/10.15479/at:ista:9962\">10.15479/at:ista:9962</a>.","short":"A.H. Hansen, Cell-Autonomous Gene Function and Non-Cell-Autonomous Effects in Radial Projection Neuron Migration, Institute of Science and Technology Austria, 2021.","ista":"Hansen AH. 2021. Cell-autonomous gene function and non-cell-autonomous effects in radial projection neuron migration. Institute of Science and Technology Austria."},"year":"2021","date_updated":"2023-09-22T09:58:30Z","day":"02","degree_awarded":"PhD","doi":"10.15479/at:ista:9962","abstract":[{"text":"The brain is one of the largest and most complex organs and it is composed of billions of neurons that communicate together enabling e.g. consciousness. The cerebral cortex is the largest site of neural integration in the central nervous system. Concerted radial migration of newly born cortical projection neurons, from their birthplace to their final position, is a key step in the assembly of the cerebral cortex. The cellular and molecular mechanisms regulating radial neuronal migration in vivo are however still unclear. Recent evidence suggests that distinct signaling cues act cell-autonomously but differentially at certain steps during the overall migration process. Moreover, functional analysis of genetic mosaics (mutant neurons present in wild-type/heterozygote environment) using the MADM (Mosaic Analysis with Double Markers) analyses in comparison to global knockout also indicate a significant degree of non-cell-autonomous and/or community effects in the control of cortical neuron migration. The interactions of cell-intrinsic (cell-autonomous) and cell-extrinsic (non-cell-autonomous) components are largely unknown. In part of this thesis work we established a MADM-based experimental strategy for the quantitative analysis of cell-autonomous gene function versus non-cell-autonomous and/or community effects. The direct comparison of mutant neurons from the genetic mosaic (cell-autonomous) to mutant neurons in the conditional and/or global knockout (cell-autonomous + non-cell-autonomous) allows to quantitatively analyze non-cell-autonomous effects. Such analysis enable the high-resolution analysis of projection neuron migration dynamics in distinct environments with concomitant isolation of genomic and proteomic profiles. Using these experimental paradigms and in combination with computational modeling we show and characterize the nature of non-cell-autonomous effects to coordinate radial neuron migration. Furthermore, this thesis discusses recent developments in neurodevelopment with focus on neuronal polarization and non-cell-autonomous mechanisms in neuronal migration.","lang":"eng"}],"keyword":["Neuronal migration","Non-cell-autonomous","Cell-autonomous","Neurodevelopmental disease"],"language":[{"iso":"eng"}],"has_accepted_license":"1","project":[{"_id":"2625A13E-B435-11E9-9278-68D0E5697425","name":"Molecular Mechanisms of Radial Neuronal Migration","grant_number":"24812"}],"oa_version":"Published Version","month":"09","file":[{"access_level":"closed","relation":"source_file","file_id":"9971","creator":"ahansen","date_created":"2021-08-30T09:17:39Z","embargo_to":"open_access","file_size":10629190,"checksum":"66b56f5b988b233dc66a4f4b4fb2cdfe","date_updated":"2022-09-03T22:30:04Z","file_name":"Thesis_Hansen.docx","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document"},{"relation":"main_file","access_level":"open_access","file_id":"9972","creator":"ahansen","date_created":"2021-08-30T09:29:44Z","embargo":"2022-09-02","file_size":13457469,"checksum":"204fa40321a1c6289b68c473634c4bf3","date_updated":"2022-09-03T22:30:04Z","file_name":"Thesis_Hansen_PDFA-1a.pdf","content_type":"application/pdf"}],"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","status":"public","related_material":{"record":[{"status":"public","id":"8569","relation":"part_of_dissertation"},{"status":"public","id":"960","relation":"part_of_dissertation"}]},"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"type":"dissertation","date_published":"2021-09-02T00:00:00Z","publication_identifier":{"issn":["2663-337X"]},"oa":1,"supervisor":[{"last_name":"Hippenmeyer","first_name":"Simon","full_name":"Hippenmeyer, Simon","orcid":"0000-0003-2279-1061","id":"37B36620-F248-11E8-B48F-1D18A9856A87"}]},{"date_updated":"2023-10-18T08:49:17Z","year":"2019","citation":{"ista":"Kopf A. 2019. The implication of cytoskeletal dynamics on leukocyte migration. Institute of Science and Technology Austria.","short":"A. Kopf, The Implication of Cytoskeletal Dynamics on Leukocyte Migration, Institute of Science and Technology Austria, 2019.","mla":"Kopf, Aglaja. <i>The Implication of Cytoskeletal Dynamics on Leukocyte Migration</i>. Institute of Science and Technology Austria, 2019, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:6891\">10.15479/AT:ISTA:6891</a>.","ieee":"A. Kopf, “The implication of cytoskeletal dynamics on leukocyte migration,” Institute of Science and Technology Austria, 2019.","chicago":"Kopf, Aglaja. “The Implication of Cytoskeletal Dynamics on Leukocyte Migration.” Institute of Science and Technology Austria, 2019. <a href=\"https://doi.org/10.15479/AT:ISTA:6891\">https://doi.org/10.15479/AT:ISTA:6891</a>.","ama":"Kopf A. The implication of cytoskeletal dynamics on leukocyte migration. 2019. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:6891\">10.15479/AT:ISTA:6891</a>","apa":"Kopf, A. (2019). <i>The implication of cytoskeletal dynamics on leukocyte migration</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:6891\">https://doi.org/10.15479/AT:ISTA:6891</a>"},"degree_awarded":"PhD","doi":"10.15479/AT:ISTA:6891","day":"24","abstract":[{"lang":"eng","text":"While cells of mesenchymal or epithelial origin perform their effector functions in a purely anchorage dependent manner, cells derived from the hematopoietic lineage are not committed to operate only within a specific niche. Instead, these cells are able to function autonomously of the molecular composition in a broad range of tissue compartments. By this means, cells of the hematopoietic lineage retain the capacity to disseminate into connective tissue and recirculate between organs, building the foundation for essential processes such as tissue regeneration or immune surveillance. \r\nCells of the immune system, specifically leukocytes, are extraordinarily good at performing this task. These cells are able to flexibly shift their mode of migration between an adhesion-mediated and an adhesion-independent manner, instantaneously accommodating for any changes in molecular composition of the external scaffold. The key component driving directed leukocyte migration is the chemokine receptor 7, which guides the cell along gradients of chemokine ligand. Therefore, the physical destination of migrating leukocytes is purely deterministic, i.e. given by global directional cues such as chemokine gradients. \r\nNevertheless, these cells typically reside in three-dimensional scaffolds of inhomogeneous complexity, raising the question whether cells are able to locally discriminate between multiple optional migration routes. Current literature provides evidence that leukocytes, specifically dendritic cells, do indeed probe their surrounding by virtue of multiple explorative protrusions. However, it remains enigmatic how these cells decide which one is the more favorable route to follow and what are the key players involved in performing this task. Due to the heterogeneous environment of most tissues, and the vast adaptability of migrating leukocytes, at this time it is not clear to what extent leukocytes are able to optimize their migratory strategy by adapting their level of adhesiveness. And, given the fact that leukocyte migration is characterized by branched cell shapes in combination with high migration velocities, it is reasonable to assume that these cells require fine tuned shape maintenance mechanisms that tightly coordinate protrusion and adhesion dynamics in a spatiotemporal manner. \r\nTherefore, this study aimed to elucidate how rapidly migrating leukocytes opt for an ideal migratory path while maintaining a continuous cell shape and balancing adhesive forces to efficiently navigate through complex microenvironments. \r\nThe results of this study unraveled a role for the microtubule cytoskeleton in promoting the decision making process during path finding and for the first time point towards a microtubule-mediated function in cell shape maintenance of highly ramified cells such as dendritic cells. Furthermore, we found that migrating low-adhesive leukocytes are able to instantaneously adapt to increased tensile load by engaging adhesion receptors. This response was only occurring tangential to the substrate while adhesive properties in the vertical direction were not increased. As leukocytes are primed for rapid migration velocities, these results demonstrate that leukocyte integrins are able to confer a high level of traction forces parallel to the cell membrane along the direction of migration without wasting energy in gluing the cell to the substrate. \r\nThus, the data in the here presented thesis provide new insights into the pivotal role of cytoskeletal dynamics and the mechanisms of force transduction during leukocyte migration. \r\nThereby the here presented results help to further define fundamental principles underlying leukocyte migration and open up potential therapeutic avenues of clinical relevance.\r\n"}],"ddc":["570"],"_id":"6891","author":[{"id":"31DAC7B6-F248-11E8-B48F-1D18A9856A87","first_name":"Aglaja","last_name":"Kopf","orcid":"0000-0002-2187-6656","full_name":"Kopf, Aglaja"}],"publication_status":"published","department":[{"_id":"MiSi"}],"date_created":"2019-09-19T08:19:44Z","article_processing_charge":"No","title":"The implication of cytoskeletal dynamics on leukocyte migration","alternative_title":["ISTA Thesis"],"page":"171","file_date_updated":"2020-10-17T22:30:03Z","publisher":"Institute of Science and Technology Austria","date_published":"2019-07-24T00:00:00Z","type":"dissertation","publication_identifier":{"isbn":["978-3-99078-002-2"],"eissn":["2663-337X"]},"supervisor":[{"orcid":"0000-0002-6620-9179","full_name":"Sixt, Michael K","first_name":"Michael K","last_name":"Sixt","id":"41E9FBEA-F248-11E8-B48F-1D18A9856A87"}],"oa":1,"file":[{"file_size":74735267,"checksum":"00d100d6468e31e583051e0a006b640c","embargo_to":"open_access","date_created":"2019-10-15T05:28:42Z","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","file_name":"Kopf_PhD_Thesis.docx","date_updated":"2020-10-17T22:30:03Z","relation":"source_file","access_level":"closed","creator":"akopf","file_id":"6950"},{"file_id":"6951","creator":"akopf","access_level":"open_access","relation":"main_file","date_updated":"2020-10-17T22:30:03Z","file_name":"Kopf_PhD_Thesis1.pdf","content_type":"application/pdf","embargo":"2020-10-16","date_created":"2019-10-15T05:28:47Z","checksum":"5d1baa899993ae6ca81aebebe1797000","file_size":52787224}],"related_material":{"record":[{"status":"public","id":"6328","relation":"part_of_dissertation"},{"relation":"part_of_dissertation","id":"15","status":"public"},{"relation":"part_of_dissertation","id":"6877","status":"public"}],"link":[{"relation":"press_release","url":"https://ist.ac.at/en/news/feeling-like-a-cell/"}]},"status":"public","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","has_accepted_license":"1","oa_version":"Published Version","project":[{"_id":"265E2996-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","grant_number":"W01250-B20","name":"Nano-Analytics of Cellular Systems"}],"month":"07","language":[{"iso":"eng"}],"keyword":["cell biology","immunology","leukocyte","migration","microfluidics"]},{"keyword":["Platelets","Cell migration","Bacteria","Shear flow","Fibrinogen","E. coli"],"language":[{"iso":"eng"}],"article_number":"e3018","month":"09","project":[{"_id":"260AA4E2-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","name":"Mechanical Adaptation of Lamellipodial Actin Networks in Migrating Cells","grant_number":"747687"}],"oa_version":"Published Version","has_accepted_license":"1","publication":"Bio-Protocol","status":"public","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","file":[{"relation":"main_file","access_level":"open_access","creator":"dernst","file_id":"6360","checksum":"d4588377e789da7f360b553ae02c5119","file_size":2928337,"date_created":"2019-04-30T08:04:33Z","file_name":"2018_BioProtocol_Fan.pdf","content_type":"application/pdf","date_updated":"2020-07-14T12:47:28Z"}],"oa":1,"publication_identifier":{"issn":["2331-8325"]},"type":"journal_article","date_published":"2018-09-20T00:00:00Z","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"publisher":"Bio-Protocol","file_date_updated":"2020-07-14T12:47:28Z","quality_controlled":"1","ec_funded":1,"intvolume":"         8","title":"Platelet migration and bacterial trapping assay under flow","department":[{"_id":"MiSi"}],"date_created":"2019-04-29T09:40:33Z","publication_status":"published","issue":"18","author":[{"last_name":"Fan","first_name":"Shuxia","full_name":"Fan, Shuxia"},{"last_name":"Lorenz","first_name":"Michael","full_name":"Lorenz, Michael"},{"full_name":"Massberg, Steffen","first_name":"Steffen","last_name":"Massberg"},{"last_name":"Gärtner","first_name":"Florian R","full_name":"Gärtner, Florian R","orcid":"0000-0001-6120-3723","id":"397A88EE-F248-11E8-B48F-1D18A9856A87"}],"_id":"6354","ddc":["570"],"volume":8,"acknowledgement":" FöFoLe project 947 (F.G.), the Friedrich-Baur-Stiftung project 41/16 (F.G.)","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"}],"day":"20","doi":"10.21769/bioprotoc.3018","year":"2018","citation":{"ama":"Fan S, Lorenz M, Massberg S, Gärtner FR. Platelet migration and bacterial trapping assay under flow. <i>Bio-Protocol</i>. 2018;8(18). doi:<a href=\"https://doi.org/10.21769/bioprotoc.3018\">10.21769/bioprotoc.3018</a>","apa":"Fan, S., Lorenz, M., Massberg, S., &#38; Gärtner, F. R. (2018). Platelet migration and bacterial trapping assay under flow. <i>Bio-Protocol</i>. Bio-Protocol. <a href=\"https://doi.org/10.21769/bioprotoc.3018\">https://doi.org/10.21769/bioprotoc.3018</a>","ieee":"S. Fan, M. Lorenz, S. Massberg, and F. R. Gärtner, “Platelet migration and bacterial trapping assay under flow,” <i>Bio-Protocol</i>, vol. 8, no. 18. Bio-Protocol, 2018.","chicago":"Fan, Shuxia, Michael Lorenz, Steffen Massberg, and Florian R Gärtner. “Platelet Migration and Bacterial Trapping Assay under Flow.” <i>Bio-Protocol</i>. Bio-Protocol, 2018. <a href=\"https://doi.org/10.21769/bioprotoc.3018\">https://doi.org/10.21769/bioprotoc.3018</a>.","short":"S. Fan, M. Lorenz, S. Massberg, F.R. Gärtner, Bio-Protocol 8 (2018).","mla":"Fan, Shuxia, et al. “Platelet Migration and Bacterial Trapping Assay under Flow.” <i>Bio-Protocol</i>, vol. 8, no. 18, e3018, Bio-Protocol, 2018, doi:<a href=\"https://doi.org/10.21769/bioprotoc.3018\">10.21769/bioprotoc.3018</a>.","ista":"Fan S, Lorenz M, Massberg S, Gärtner FR. 2018. Platelet migration and bacterial trapping assay under flow. Bio-Protocol. 8(18), e3018."},"date_updated":"2021-01-12T08:07:12Z"},{"file":[{"access_level":"open_access","relation":"main_file","creator":"system","file_id":"5596","file_size":799,"checksum":"cb7a2fa622460eca6231d659ce590e32","date_created":"2018-12-12T13:02:29Z","content_type":"application/octet-stream","file_name":"IST-2017-75-v1+1_FMI.m","date_updated":"2020-07-14T12:47:04Z"}],"ddc":["570"],"status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","citation":{"mla":"Hauschild, Robert. <i>Forward Migration Indexes</i>. Institute of Science and Technology Austria, 2017, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:75\">10.15479/AT:ISTA:75</a>.","short":"R. Hauschild, (2017).","ista":"Hauschild R. 2017. Forward migration indexes, Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/AT:ISTA:75\">10.15479/AT:ISTA:75</a>.","ama":"Hauschild R. Forward migration indexes. 2017. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:75\">10.15479/AT:ISTA:75</a>","apa":"Hauschild, R. (2017). Forward migration indexes. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:75\">https://doi.org/10.15479/AT:ISTA:75</a>","chicago":"Hauschild, Robert. “Forward Migration Indexes.” Institute of Science and Technology Austria, 2017. <a href=\"https://doi.org/10.15479/AT:ISTA:75\">https://doi.org/10.15479/AT:ISTA:75</a>.","ieee":"R. Hauschild, “Forward migration indexes.” Institute of Science and Technology Austria, 2017."},"year":"2017","tmp":{"legal_code_url":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","short":"CC0 (1.0)","name":"Creative Commons Public Domain Dedication (CC0 1.0)","image":"/images/cc_0.png"},"date_updated":"2024-02-21T13:47:14Z","type":"research_data","date_published":"2017-10-04T00:00:00Z","day":"04","doi":"10.15479/AT:ISTA:75","oa":1,"abstract":[{"text":"Matlab script to calculate the forward migration indexes (<d_y>/<L>) from TrackMate spot-statistics files.","lang":"eng"}],"keyword":["Cell migration","tracking","forward migration index","FMI"],"file_date_updated":"2020-07-14T12:47:04Z","publisher":"Institute of Science and Technology Austria","license":"https://creativecommons.org/publicdomain/zero/1.0/","has_accepted_license":"1","_id":"5570","datarep_id":"75","author":[{"id":"4E01D6B4-F248-11E8-B48F-1D18A9856A87","last_name":"Hauschild","first_name":"Robert","full_name":"Hauschild, Robert","orcid":"0000-0001-9843-3522"}],"date_created":"2018-12-12T12:31:35Z","article_processing_charge":"No","department":[{"_id":"Bio"}],"oa_version":"Published Version","title":"Forward migration indexes","month":"10"},{"oa_version":"Published Version","article_processing_charge":"No","department":[{"_id":"Bio"}],"date_created":"2018-12-12T12:31:31Z","month":"07","title":"Fiji script to determine average speed and direction of migration of cells","_id":"5555","has_accepted_license":"1","author":[{"last_name":"Hauschild","first_name":"Robert","full_name":"Hauschild, Robert","orcid":"0000-0001-9843-3522","id":"4E01D6B4-F248-11E8-B48F-1D18A9856A87"}],"datarep_id":"44","publisher":"Institute of Science and Technology Austria","file_date_updated":"2020-07-14T12:47:02Z","keyword":["cell migration","wide field microscopy","FIJI"],"doi":"10.15479/AT:ISTA:44","day":"08","abstract":[{"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.","lang":"eng"}],"oa":1,"date_updated":"2024-02-21T13:50:06Z","tmp":{"legal_code_url":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","short":"CC0 (1.0)","name":"Creative Commons Public Domain Dedication (CC0 1.0)","image":"/images/cc_0.png"},"citation":{"ista":"Hauschild R. 2016. Fiji script to determine average speed and direction of migration of cells, Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/AT:ISTA:44\">10.15479/AT:ISTA:44</a>.","short":"R. Hauschild, (2016).","mla":"Hauschild, Robert. <i>Fiji Script to Determine Average Speed and Direction of Migration of Cells</i>. Institute of Science and Technology Austria, 2016, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:44\">10.15479/AT:ISTA:44</a>.","ieee":"R. Hauschild, “Fiji script to determine average speed and direction of migration of cells.” Institute of Science and Technology Austria, 2016.","chicago":"Hauschild, Robert. “Fiji Script to Determine Average Speed and Direction of Migration of Cells.” Institute of Science and Technology Austria, 2016. <a href=\"https://doi.org/10.15479/AT:ISTA:44\">https://doi.org/10.15479/AT:ISTA:44</a>.","ama":"Hauschild R. 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