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

Dmitry Ershov (1, 2) , Minh-Son Phan (1) , Joanna Pylvänäinen (3, 4) , Stéphane Rigaud (1) , Laure Le Blanc (5) , Arthur Charles-Orszag (5) , James Conway (3) , Romain Laine (6, 7) , Nathan Roy (8) , Daria Bonazzi (5) , Guillaume Duménil (5) , Guillaume Jacquemet (3, 4) , Jean-Yves Tinevez (1)

1 IAH - Hub d'analyse d'images - Image Analysis Hub (Platform)
2 Hub Bioinformatique et Biostatistique - Bioinformatics and Biostatistics HUB
3 University of Turku
4 Åbo Akademi University [Turku]
5 Pathogénèse des Infections vasculaires / Pathogenesis of Vascular Infections
6 UCL - University College of London [London]
7 The Francis Crick Institute [London]
8 SUNY Upstate Medical University

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.

Domains: Computer Science [cs]

Dmitry Ershov, Minh-Son Phan, Joanna Pylvänäinen, Stéphane Rigaud, Laure Le Blanc, et al.. TrackMate 7: integrating state-of-the-art segmentation algorithms into tracking pipelines. Nature Methods, 2022, ⟨10.1038/s41592-022-01507-1⟩. ⟨pasteur-03691516⟩