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SUMMARY:From microscopy images to mechanical models of tissues and back - 
 Hervé Turlier\, Center for Interdisciplinary Research in Biology\, Colleg
 e de France
DTSTART:20240122T143000Z
DTEND:20240122T153000Z
UID:TALK210895@talks.cam.ac.uk
CONTACT:Jia CHEN
DESCRIPTION:Fluorescence microscopy has become the most common technique f
 or quantifying biological systems\, from the subcellular scale to the tiss
 ue scale. Yet\, extracting meaningful physical information from fluorescen
 t images\, especially in 3D\, remains a challenging task. At the same time
 \, physical and computer models of tissues are becoming more and more real
 istic\, but their direct comparison\, calibration or initialization from b
 iological images remains generally out of reach. Here I will present our r
 ecent efforts to bridge the gap between images and mechanical models. I wi
 ll start with the presentation of a novel segmentation and 3D tension infe
 rence method that can generate 3D atlases of the mechanics of embryos or t
 issues comprising up to a thousand cells from microscopy images. Then I wi
 ll present a novel cell-resolved computational model of 3D tissues based o
 n tension\, which explicitly accounts for viscous dissipation at cell inte
 rfaces\, can handle cell divisions or other topological events (T1\, T2) a
 nd can coupled to a discrete reaction-diffusion scheme to model multicellu
 lar mechanochemical feedbacks. Finally\, I will show how we can close the 
 loop with a generic pipeline to create realistic fluorescence microscopy i
 mages from for devising\, training or benchmarking novel image analysis me
 thods. \n\nLab Twitter/X account: @virtual_embryo \n\nPersonal Twitter/X a
 ccount: @HerveTurlier 
LOCATION:Online
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