Automated velocity mapping of migrating cell populations (AVeMap).
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.
Laboratoire Physico-chimie Curie, Unité Mixte de Recherche 168, Centre de Recherche, Institut Curie, Centre National de la Recherche Scientifique, et Université Pierre et Marie Curie, Paris, France.
Maxime
M
Deforet
Maria Carla
MC
Parrini
Laurence
L
Petitjean
Marco
M
Biondini
Axel
A
Buguin
Jacques
J
Camonis
Pascal
P
Silberzan
D002460:Cell Line; D002465:Cell Movement; D058948:Cell Tracking / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D018715:Microscopy, Video / Q000379:methods; D014945:Wound Healing