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Image-based inference of mechanics underlying epithelial morphogenesis

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SPLW02 - Active mechanics, from single cells to cell layers, tissues and development

Measuring forces and mechanical properties of cells is essential to decipher the mechanical control of morphogenesis. We have formulated Bayesian force inference and mechanical parameter inference, both of which utilize image data of epithelial cells to infer physical quantities. These methods have been validated for accuracy and robustness through tests using synthetic and in vivo data. In this symposium, I will discuss how these methods have helped elucidate the mechanisms underlying cell rearrangement and cell division during epithelial morphogenesis. Ogita et al. Image-based parameter inference for epithelial mechanics. PLoS Computational Biology 18: e1010209 (2022).

This talk is part of the Isaac Newton Institute Seminar Series series.

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