Mechanical Stress Inference for Two Dimensional Cell Arrays
Kevin K. Chiou, Lars Hufnagel, Boris I. Shraiman

TL;DR
This paper introduces a computational method to infer mechanical stresses within epithelial tissues from high-resolution images, enabling insights into tissue mechanics during development without direct force measurements.
Contribution
The paper presents a novel inverse modeling approach to estimate intracellular pressures and interfacial tensions from tissue geometry, advancing the study of tissue mechanics in vivo.
Findings
Revealed mechanical anisotropy during ventral furrow formation.
Detected mechanical heterogeneity linked to cell differentiation.
Enabled quantitative analysis of tissue mechanical states.
Abstract
Many morphogenetic processes involve mechanical rearrangement of epithelial tissues that is driven by precisely regulated cytoskeletal forces and cell adhesion. The mechanical state of the cell and intercellular adhesion are not only the targets of regulation, but are themselves likely signals that coordinate developmental process. Yet, because it is difficult to directly measure mechanical stress {\it in vivo} on sub-cellular scale, little is understood about the role of mechanics of development. Here we present an alternative approach which takes advantage of the recent progress in live imaging of morphogenetic processes and uses computational analysis of high resolution images of epithelial tissues to infer relative magnitude of forces acting within and between cells. We model intracellular stress in terms of bulk pressure and interfacial tension, allowing these parameters to vary…
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