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© Research
Publication : Journal of Cell Science

Cell Tracking Profiler – a user-driven analysis framework for evaluating 4D live-cell imaging data

Scientific Fields
Diseases
Organisms
Applications
Technique

Published in Journal of Cell Science - 23 Nov 2020

Claire Mitchell, Lauryanne Caroff, Jose Alonso Solis-Lemus, Constantino Carlos Reyes-Aldasoro, Alessandra Vigilante, Fiona Warburton, Fabrice de Chaumont, Alexandre Dufour, Stephane Dallongeville, Jean-Christophe Olivo-Marin, Robert Knight

Link to Pubmed [PMID] – 33093241

Link to DOI – 10.1242/jcs.241422

J Cell Sci . 2020 Nov 23;133(22):jcs241422

Accurate measurements of cell morphology and behaviour are fundamentally important for understanding how disease, molecules and drugs affect cell function in vivo Here, by using muscle stem cell (muSC) responses to injury in zebrafish as our biological paradigm, we established a ‘ground truth’ for muSC behaviour. This revealed that segmentation and tracking algorithms from commonly used programs are error-prone, leading us to develop a fast semi-automated image analysis pipeline that allows user-defined parameters for segmentation and correction of cell tracking. Cell Tracking Profiler (CTP) is a package that runs two existing programs, HK Means and Phagosight within the Icy image analysis suite, to enable user-managed cell tracking from 3D time-lapse datasets to provide measures of cell shape and movement. We demonstrate how CTP can be used to reveal changes to cell behaviour of muSCs in response to manipulation of the cell cytoskeleton by small-molecule inhibitors. CTP and the associated tools we have developed for analysis of outputs thus provide a powerful framework for analysing complex cell behaviour in vivo from 4D datasets that are not amenable to straightforward analysis.