TrackMate 7: integrating state-of-the-art segmentation algorithms into tracking pipelines

dc.contributor.authorErshov Dmitry
dc.contributor.authorPhan Minh-Son
dc.contributor.authorPylvänäinen Joanna W.
dc.contributor.authorRigaud Stephane U.
dc.contributor.authorLe Blanc Laure
dc.contributor.authorCharles-Orszag Arthur
dc.contributor.authorConway James R.W.
dc.contributor.authorLaine Romain F.
dc.contributor.authorRoy Nathan H.
dc.contributor.authorBonazzi Daria
dc.contributor.authorDumenil Guillaume
dc.contributor.authorJacquemet Guillaume
dc.contributor.authorTinevez Jean-Yves
dc.contributor.organizationfi=Turun biotiedekeskus|en=Turku Bioscience Centre|
dc.contributor.organization-code1.2.246.10.2458963.20.18586209670
dc.converis.publication-id175931238
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/175931238
dc.date.accessioned2026-01-21T12:29:10Z
dc.date.available2026-01-21T12:29:10Z
dc.description.abstractTrackMate is an automated tracking software used to analyze bioimages and is distributed as a Fiji plugin. Here, we introduce a new version of TrackMate. TrackMate 7 is built to address the broad spectrum of modern challenges researchers face by integrating state-of-the-art segmentation algorithms into tracking pipelines. We illustrate qualitatively and quantitatively that these new capabilities function effectively across a wide range of bio-imaging experiments.TrackMate 7 combines the benefits of machine and deep learning-based image segmentation with accurate object tracking to enable improved 2D and 3D tracking of diverse objects in biological research.
dc.format.pagerange829
dc.format.pagerange832
dc.identifier.eissn1548-7105
dc.identifier.jour-issn1548-7091
dc.identifier.olddbid212554
dc.identifier.oldhandle10024/195572
dc.identifier.urihttps://www.utupub.fi/handle/11111/52695
dc.identifier.urlhttps://www.nature.com/articles/s41592-022-01507-1
dc.identifier.urnURN:NBN:fi-fe202301316656
dc.language.isoen
dc.okm.affiliatedauthorPylvänäinen, Joanna
dc.okm.affiliatedauthorConway, James
dc.okm.affiliatedauthorJacquemet, Guillaume
dc.okm.discipline1182 Biochemistry, cell and molecular biologyen_GB
dc.okm.discipline1182 Biokemia, solu- ja molekyylibiologiafi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherNature
dc.publisher.countryUnited Statesen_GB
dc.publisher.countryYhdysvallat (USA)fi_FI
dc.publisher.country-codeUS
dc.relation.doi10.1038/s41592-022-01507-1
dc.relation.ispartofjournalNature Methods
dc.relation.volume19
dc.source.identifierhttps://www.utupub.fi/handle/10024/195572
dc.titleTrackMate 7: integrating state-of-the-art segmentation algorithms into tracking pipelines
dc.year.issued2022

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