A generic methodological framework for studying single cell motility in high-throughput time-lapse data.
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Motility is a fundamental cellular attribute, which plays a major part in processes ranging from embryonic development to metastasis. Traditionally, single cell motility is often studied by live cell imaging. Yet, such studies were so far limited to low throughput. To systematically study cell motility at a large scale, we need robust methods to quantify cell trajectories in live cell imaging data. The primary contribution of this article is to present Motility study Integrated Workflow (MotIW), a generic workflow for the study of single cell motility in high-throughput time-lapse screening data. It is composed of cell tracking, cell trajectory mapping to an original feature space and hit detection according to a new statistical procedure. We show that this workflow is scalable and demonstrates its power by application to simulated data, as well as large-scale live cell imaging data. This application enables the identification of an ontology of cell motility patterns in a fully unsupervised manner. Python code and examples are available online (http://cbio.ensmp.fr/∼aschoenauer/motiw.html)


Spatial Transcriptomics

MeSH terms

Cell Movement
Cell Tracking
HeLa Cells
Single-Cell Analysis
Time-Lapse Imaging


Schoenauer Sebag, Alice
Plancade, Sandra
Raulet-Tomkiewicz, Céline
Barouki, Robert
Vert, Jean-Philippe
Walter, Thomas

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