Litcius/Paper detail

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

Dmitry Ershov, Minh-Son Phan, Joanna W. Pylvänäinen, Stéphane Rigaud, Laure Le Blanc, Arthur Charles‐Orszag, James R. W. Conway, Romain F. Laine, Nathan H. Roy, Daria Bonazzi, Guillaume Duménil, Guillaume Jacquemet, Jean-Yves Tinévez

2022Nature Methods1,235 citationsDOIOpen Access PDF

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.

Topics & Concepts

SegmentationPipeline transportComputer scienceTracking (education)State (computer science)AlgorithmPipeline (software)Artificial intelligenceComputer visionData miningChemistryProgramming languagePedagogyOrganic chemistryPsychologyCell Image Analysis TechniquesImage Processing Techniques and ApplicationsAdvanced Vision and Imaging