Inference of Internal Stress in a Cell Monolayer
Nier V, Jain S, Lim CT, Ishihara S, Ladoux B, Marcq P (2016)
Publication Type: Journal article
Publication year: 2016
Journal
Book Volume: 110
Pages Range: 1625-1635
Journal Issue: 7
DOI: 10.1016/j.bpj.2016.03.002
Abstract
We combine traction force data with Bayesian inversion to obtain an absolute estimate of the internal stress field of a cell monolayer. The method, Bayesian inversion stress microscopy, is validated using numerical simulations performed in a wide range of conditions. It is robust to changes in each ingredient of the underlying statistical model. Importantly, its accuracy does not depend on the rheology of the tissue. We apply Bayesian inversion stress microscopy to experimental traction force data measured in a narrow ring of cohesive epithelial cells, and check that the inferred stress field coincides with that obtained by direct spatial integration of the traction force data in this quasi one-dimensional geometry.
Authors with CRIS profile
Involved external institutions
National Center for Scientific Research / Centre national de la recherche scientifique (CNRS)
France (FR)
National University of Singapore (NUS)
Singapore (SG)
Meiji University / 明治大学
Japan (JP)
France (FR)
National University of Singapore (NUS)
Singapore (SG)
Meiji University / 明治大学
Japan (JP)
How to cite
APA:
Nier, V., Jain, S., Lim, C.T., Ishihara, S., Ladoux, B., & Marcq, P. (2016). Inference of Internal Stress in a Cell Monolayer. Biophysical Journal, 110(7), 1625-1635. https://doi.org/10.1016/j.bpj.2016.03.002
MLA:
Nier, Vincent, et al. "Inference of Internal Stress in a Cell Monolayer." Biophysical Journal 110.7 (2016): 1625-1635.
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