Yang, F.; Venkataraman, C.; Gu, S.; Styles, V.; Madzvamuse, A. Force Estimation during Cell Migration Using Mathematical Modelling. J. Imaging2022, 8, 199.
Yang, F.; Venkataraman, C.; Gu, S.; Styles, V.; Madzvamuse, A. Force Estimation during Cell Migration Using Mathematical Modelling. J. Imaging 2022, 8, 199.
Yang, F.; Venkataraman, C.; Gu, S.; Styles, V.; Madzvamuse, A. Force Estimation during Cell Migration Using Mathematical Modelling. J. Imaging2022, 8, 199.
Yang, F.; Venkataraman, C.; Gu, S.; Styles, V.; Madzvamuse, A. Force Estimation during Cell Migration Using Mathematical Modelling. J. Imaging 2022, 8, 199.
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 potentially 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.
Computer Science and Mathematics, Computational Mathematics
Copyright:
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