Image-based inference of mechanics underlying epithelial morphogenesis

Add to your list(s) Download to your calendar using vCal

• Kaoru Sugimura (University of Tokyo)
• Tuesday 05 September 2023, 09:00-09:40
• Seminar Room 1, Newton Institute.

If you have a question about this talk, please contact nobody.

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.

This talk is included in these lists:

• All CMS events
• Featured lists
• INI info aggregator
• Isaac Newton Institute Seminar Series
• School of Physical Sciences
• Seminar Room 1, Newton Institute
• bld31

Note that ex-directory lists are not shown.