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Related Experiment Video

Updated: Apr 10, 2026

Analysis of Motility Patterns of Stentor During and After Oral Apparatus Regeneration Using Cell Tracking

Analysis of Motility Patterns of Stentor During and After Oral Apparatus Regeneration Using Cell Tracking

Published on: April 26, 2021

A generic methodological framework for studying single cell motility in high-throughput time-lapse data.

Alice Schoenauer Sebag¹, Sandra Plancade², Céline Raulet-Tomkiewicz³

¹MINES ParisTech, PSL-Research University, CBIO-Centre for Computational Biology, Fontainebleau, Institut Curie, Paris, INSERM U900, Paris, Université Paris Descartes, Paris, INSERM UMR-S 1124, Paris, Agro ParisTech, Paris and Mathématiques et Informatique Appliquées, INRA, Jouy-en-Josas, France MINES ParisTech, PSL-Research University, CBIO-Centre for Computational Biology, Fontainebleau, Institut Curie, Paris, INSERM U900, Paris, Université Paris Descartes, Paris, INSERM UMR-S 1124, Paris, Agro ParisTech, Paris and Mathématiques et Informatique Appliquées, INRA, Jouy-en-Josas, France MINES ParisTech, PSL-Research University, CBIO-Centre for Computational Biology, Fontainebleau, Institut Curie, Paris, INSERM U900, Paris, Université Paris Descartes, Paris, INSERM UMR-S 1124, Paris, Agro ParisTech, Paris and Mathématiques et Informatique Appliquées, INRA, Jouy-en-Josas, France MINES ParisTech, PSL-Research University, CBIO-Centre for Computational Biology, Fontainebleau, Institut Curie, Paris, INSERM U900, Paris, Université Paris Descartes, Paris, INSERM UMR-S 1124, Paris, Agro ParisTech, Paris and Mathématiques et Informatique Appliquées, INRA, Jouy-en-Josas, France MINES ParisTech, PSL-Research University, CBIO-Centre for Computational Biology, Fontainebleau, Institut Curie, Paris, INSERM U900, Paris, Université Paris Descartes, Paris, INSERM UMR-S 1124, Paris, Agro ParisTech, Paris and Mathématiques et Informatique Appliquées, INRA, Jouy-en-Josas, France MINES ParisTech, PSL-Research University, CBIO-Centre for Computational Biology, Fontainebleau, Institut Curie, Paris, INSERM U900, Paris, Université Paris Descartes, Paris, INSERM UMR-S 1124, Paris, Agro ParisTech, Paris and Mathématiques et Informatique Appliquées, INRA, Jouy-en-Josas, France.

Bioinformatics (Oxford, England)

|June 15, 2015

Summary

This summary is machine-generated.

A new workflow, Motility study Integrated Workflow (MotIW), enables high-throughput analysis of single cell motility from live cell imaging. This method quantifies cell trajectories and identifies motility patterns in an unsupervised manner.

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Last Updated: Apr 10, 2026

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Analysis of Motility Patterns of Stentor During and After Oral Apparatus Regeneration Using Cell Tracking

Published on: April 26, 2021

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Area of Science:

Cell Biology
Biophysics

Background:

Cell motility is crucial for development and disease, including metastasis.
Traditional live cell imaging methods for studying cell motility are low-throughput.
Systematic, large-scale analysis requires robust quantification of cell trajectories.

Purpose of the Study:

To present a generic workflow for high-throughput analysis of single cell motility in live cell imaging data.
To enable scalable and robust quantification of cell trajectories.
To identify cell motility patterns in an unsupervised manner.

Main Methods:

Developed the Motility study Integrated Workflow (MotIW).
Workflow includes cell tracking, trajectory mapping to a feature space, and statistical hit detection.
Utilized Python for implementation, with code available online.

Main Results:

MotIW is a scalable workflow for high-throughput time-lapse screening data.
Demonstrated workflow effectiveness on simulated and large-scale live cell imaging data.
Enabled unsupervised identification of an ontology of cell motility patterns.

Conclusions:

MotIW provides a powerful tool for systematic study of cell motility.
The workflow facilitates large-scale analysis and pattern discovery in cell migration.
This approach advances the understanding of cellular dynamics in biological processes.