TrackMate 7: integrating state-of-the-art segmentation algorithms into tracking pipelines
| dc.contributor.author | Ershov Dmitry | |
| dc.contributor.author | Phan Minh-Son | |
| dc.contributor.author | Pylvänäinen Joanna W. | |
| dc.contributor.author | Rigaud Stephane U. | |
| dc.contributor.author | Le Blanc Laure | |
| dc.contributor.author | Charles-Orszag Arthur | |
| dc.contributor.author | Conway James R.W. | |
| dc.contributor.author | Laine Romain F. | |
| dc.contributor.author | Roy Nathan H. | |
| dc.contributor.author | Bonazzi Daria | |
| dc.contributor.author | Dumenil Guillaume | |
| dc.contributor.author | Jacquemet Guillaume | |
| dc.contributor.author | Tinevez Jean-Yves | |
| dc.contributor.organization | fi=Turun biotiedekeskus|en=Turku Bioscience Centre| | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.18586209670 | |
| dc.converis.publication-id | 175931238 | |
| dc.converis.url | https://research.utu.fi/converis/portal/Publication/175931238 | |
| dc.date.accessioned | 2026-01-21T12:29:10Z | |
| dc.date.available | 2026-01-21T12:29:10Z | |
| dc.description.abstract | TrackMate 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.pagerange | 829 | |
| dc.format.pagerange | 832 | |
| dc.identifier.eissn | 1548-7105 | |
| dc.identifier.jour-issn | 1548-7091 | |
| dc.identifier.olddbid | 212554 | |
| dc.identifier.oldhandle | 10024/195572 | |
| dc.identifier.uri | https://www.utupub.fi/handle/11111/52695 | |
| dc.identifier.url | https://www.nature.com/articles/s41592-022-01507-1 | |
| dc.identifier.urn | URN:NBN:fi-fe202301316656 | |
| dc.language.iso | en | |
| dc.okm.affiliatedauthor | Pylvänäinen, Joanna | |
| dc.okm.affiliatedauthor | Conway, James | |
| dc.okm.affiliatedauthor | Jacquemet, Guillaume | |
| dc.okm.discipline | 1182 Biochemistry, cell and molecular biology | en_GB |
| dc.okm.discipline | 1182 Biokemia, solu- ja molekyylibiologia | fi_FI |
| dc.okm.internationalcopublication | international co-publication | |
| dc.okm.internationality | International publication | |
| dc.okm.type | A1 ScientificArticle | |
| dc.publisher | Nature | |
| dc.publisher.country | United States | en_GB |
| dc.publisher.country | Yhdysvallat (USA) | fi_FI |
| dc.publisher.country-code | US | |
| dc.relation.doi | 10.1038/s41592-022-01507-1 | |
| dc.relation.ispartofjournal | Nature Methods | |
| dc.relation.volume | 19 | |
| dc.source.identifier | https://www.utupub.fi/handle/10024/195572 | |
| dc.title | TrackMate 7: integrating state-of-the-art segmentation algorithms into tracking pipelines | |
| dc.year.issued | 2022 |
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