Technology

CellTracksColab

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GitHub:
- CellMigrationLab/CellTracksColab

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Publication: Gómez-de-Mariscal et al. PLOS Biology 2024
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In life sciences, tracking objects from movies is how we quantify the behaviour of particles, organelles, bacteria, cells, and whole animals. CellTracksColab connects tracking to analysis.

CellTracksColab simplifies the journey from data compilation to analysis.

Publications featuring CellTracksColab

Packaging Jupyter notebooks as installable desktop apps using LabConstrictor Iván Hidalgo-Cenalmor, Marcela Xiomara Rivera Pineda, Bruno M Saraiva, Ricardo Henriques, Guillaume Jacquemet Preprint published in arXiv, March 2026 Technologies: CARE (), CellTracksColab (), DL4MicEverywhere (), mAIcrobe () and ZeroCostDL4Mic () Funded by: Chan Zuckerberg Initiative (CZI), The Kavli Foundation, and The Wellcome Trust, EMBO, ERC, H2022 and La Caixa Foundation DOI: 10.48550/arXiv.2603.10704

CellTracksColab is a platform that enables compilation, analysis, and exploration of cell tracking data Estibaliz Gómez-de-Mariscal, Hanna Grobe, Joanna W Pylvänäinen, Laura Xénard, Ricardo Henriques, Jean-Yves Tinevez, Guillaume Jacquemet Published in PLOS Biology, January 2024 Technologies: CARE (), CellTracksColab () and ZeroCostDL4Mic () DOI: 10.1371/journal.pbio.3002740

Funding contributing to CellTracksColab

VirusAwareScopes: Machine Learning-Driven Adaptive Microscopy for Long-Term Viral Infection Studies Ricardo Henriques Alias: VirusAwareScopes Funded by: La Caixa Foundation - Health Research Duration: November 2025 - October 2028 Publications: 4