Journal
NATURE METHODS
Volume 9, Issue 11, Pages 1081-+Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.2209
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Funding
- Association pour la Recherche sur le Cancer
- Agence Nationale de la Recherche (project IntegRal)
- Association Christelle Bouillot
- Ligue Contre le Cancer
- Institut Curie Program 'Modeles Cellulaires'
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Characterizing the migration of a population of cells remains laborious and somewhat subjective. Advances in genetics and robotics allow researchers to perform many experiments in parallel, but analyzing the large sets of data remains a bottleneck. Here we describe a rapid, fully automated correlation-based method for cell migration analysis, compatible with standard video microscopy. This method allows for the computation of quantitative migration parameters via an extensive dynamic mapping of cell displacements.
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