TrackMate 7: integrating state-of-the-art segmentation algorithms into tracking pipelines-Reference-Cited by-同舟云学术

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

Published:2022-06-02 Issue:7 Volume:19 Page:829-832
ISSN:1548-7091
Container-title:Nature Methods
language:en
Short-container-title:Nat Methods

Author:

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

Funder

Agence Nationale de la Recherche

Health Campus Turku 2.0 funded by the Academy of Finland.

- MRC Skills development fellowship

Sigrid Juséliuksen Säätiö

Syöpäjärjestöt

EC | Horizon 2020 Framework Programme

- the Drug Discovery and Diagnostics strategic funding to Åbo Akademi University

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Molecular Biology,Biochemistry,Biotechnology

Link

https://www.nature.com/articles/s41592-022-01507-1.pdf

Reference46 articles.

1. Sbalzarini, I. F. & Koumoutsakos, P. Feature point tracking and trajectory analysis for video imaging in cell biology. J. Struct. Biol. 151, 182–195 (2005).

2. Chenouard, N., Bloch, I. & Olivo-Marin, J.-C. Multiple hypothesis tracking for cluttered biological image sequences. IEEE Trans. Pattern Anal. Mach. Intell. 35, 2736–3750 (2013).

3. Piccinini, F., Kiss, A. & Horvath, P. CellTracker (not only) for dummies. Bioinformatics 32, 955–957 (2016).

4. Tinevez, J.-Y. et al. TrackMate: an open and extensible platform for single-particle tracking. Methods 115, 80–90 (2017).

5. McQuin, C. et al. CellProfiler 3.0: Next-generation image processing for biology. PLoS Biol. 16, e2005970 (2018).

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