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

Claire Mitchell1, Lauryanne Caroff1, Jose Alonso Solis-Lemus2

  • 1Centre for Craniofacial and Regenerative Biology, King's College London, Guy's Hospital, London SE1 9RT, UK.

Journal of Cell Science
|October 23, 2020
PubMed
Summary
This summary is machine-generated.

Accurate cell tracking is crucial for disease research. We developed Cell Tracking Profiler (CTP) to precisely measure muscle stem cell behavior in zebrafish, improving accuracy over existing methods.

Keywords:
Cell trackingIcyImarisIn vivo imagingMusclePhagosightSegmentationZebrafish

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Area of Science:

  • Cell Biology
  • Zebrafish Model Systems
  • Bioimaging Analysis

Background:

  • Understanding cell behavior in vivo is vital for disease and drug research.
  • Existing cell segmentation and tracking algorithms often produce errors.
  • Muscle stem cells (muSCs) in zebrafish injury models provide a robust system for studying cell dynamics.

Purpose of the Study:

  • To establish a 'ground truth' for muSC behavior in zebrafish.
  • To develop a more accurate and user-friendly method for analyzing cell morphology and behavior.
  • To create a semi-automated image analysis pipeline for 4D cell tracking.

Main Methods:

  • Developed Cell Tracking Profiler (CTP), a package integrating HK Means and Phagosight within the Icy image analysis suite.
  • Implemented user-defined parameters for segmentation and cell tracking correction.
  • Utilized 3D time-lapse datasets of zebrafish muSCs responding to injury.

Main Results:

  • Identified inaccuracies in standard segmentation and tracking algorithms.
  • CTP enables user-managed cell tracking and provides precise measures of cell shape and movement.
  • Demonstrated CTP's ability to detect changes in muSC behavior upon cytoskeleton manipulation with small-molecule inhibitors.

Conclusions:

  • CTP offers a powerful framework for analyzing complex in vivo cell behavior from 4D datasets.
  • The developed tools enhance the accuracy and reliability of cell tracking and morphological analysis.
  • This approach improves our understanding of how cellular processes are affected by disease, molecules, and drugs.