BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Image-based inference of mechanics underlying epithelial morphogen
 esis - Kaoru Sugimura (University of Tokyo)
DTSTART:20230905T080000Z
DTEND:20230905T084000Z
UID:TALK203815@talks.cam.ac.uk
DESCRIPTION:Measuring forces and mechanical properties of cells is essenti
 al to decipher the mechanical control of morphogenesis. We have formulated
  Bayesian force inference and mechanical parameter inference\, both of whi
 ch utilize image data of epithelial cells to infer physical quantities. Th
 ese methods have been validated for accuracy and robustness through tests 
 using synthetic and in vivo data. In this symposium\, I will discuss how t
 hese methods have helped elucidate the mechanisms underlying cell rearrang
 ement and cell division during epithelial morphogenesis.\nOgita et al. Ima
 ge-based parameter inference for epithelial mechanics. PLoS Computational 
 Biology 18: e1010209 (2022).
LOCATION:Seminar Room 1\, Newton Institute
END:VEVENT
END:VCALENDAR