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Force Estimation During Cell Migration Using Mathematical Modelling

Overview
Journal J Imaging
Publisher MDPI
Specialty Radiology
Date 2022 Jul 25
PMID 35877643
Authors
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Abstract

Cell migration is essential for physiological, pathological and biomedical processes such as, in embryogenesis, wound healing, immune response, cancer metastasis, tumour invasion and inflammation. In light of this, quantifying mechanical properties during the process of cell migration is of great interest in experimental sciences, yet few theoretical approaches in this direction have been studied. In this work, we propose a theoretical and computational approach based on the optimal control of geometric partial differential equations to estimate cell membrane forces associated with cell polarisation during migration. Specifically, cell membrane forces are inferred or estimated by fitting a mathematical model to a sequence of images, allowing us to capture dynamics of the cell migration. Our approach offers a robust and accurate framework to compute geometric mechanical membrane forces associated with cell polarisation during migration and also yields geometric information of independent interest, we illustrate one such example that involves quantifying cell proliferation levels which are associated with cell division, cell fusion or cell death.

References
1.
Alexopoulos L, Erickson G, Guilak F . A method for quantifying cell size from differential interference contrast images: validation and application to osmotically stressed chondrocytes. J Microsc. 2002; 205(Pt 2):125-35. DOI: 10.1046/j.0022-2720.2001.00976.x. View

2.
Scarpa E, Mayor R . Collective cell migration in development. J Cell Biol. 2016; 212(2):143-55. PMC: 4738384. DOI: 10.1083/jcb.201508047. View

3.
Lieber A, Yehudai-Resheff S, Barnhart E, Theriot J, Keren K . Membrane tension in rapidly moving cells is determined by cytoskeletal forces. Curr Biol. 2013; 23(15):1409-17. DOI: 10.1016/j.cub.2013.05.063. View

4.
Barbieri L, Colin-York H, Korobchevskaya K, Li D, Wolfson D, Karedla N . Two-dimensional TIRF-SIM-traction force microscopy (2D TIRF-SIM-TFM). Nat Commun. 2021; 12(1):2169. PMC: 8041833. DOI: 10.1038/s41467-021-22377-9. View

5.
Marquet P, Rappaz B, Magistretti P, Cuche E, Emery Y, Colomb T . Digital holographic microscopy: a noninvasive contrast imaging technique allowing quantitative visualization of living cells with subwavelength axial accuracy. Opt Lett. 2005; 30(5):468-70. DOI: 10.1364/ol.30.000468. View