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Comparative study of non-invasive force and stress inference methods in tissue
S Ishihara1, K Sugimura, S J Cox
1Graduate School of Arts and Sciences, The University of Tokyo, Komaba 3-8-1, Meguro-ku, Tokyo, Japan. shuji@complex.c.u-tokyo.jp
The European Physical Journal. E, Soft Matter
|April 26, 2013
Summary
This study introduces a novel, non-invasive Bayesian force inference method to measure tissue stress during animal development. It accurately maps stress from cell shapes, outperforming other techniques for studying morphogenesis.
Area of Science:
- Developmental Biology
- Biophysics
- Cell Biology
Background:
- Tissue shape in animal development arises from cell interactions.
- Measuring tissue stress is crucial for understanding morphogenesis and physical constraints.
- Existing stress measurement methods are invasive and lack spatiotemporal resolution.
Purpose of the Study:
- To develop and validate a non-invasive force inference method for measuring tissue stress.
- To compare the performance of different force inference techniques.
- To provide spatiotemporal maps of stress in whole tissues.
Main Methods:
- Compared three force inference methods using artificial and experimental data.
- Employed Bayesian force inference to simultaneously estimate cell-junction tensions and cell pressures.
- Cross-validated force inference with global annular ablation by measuring stress anisotropy and relaxation.
Main Results:
- Bayesian force inference demonstrated superior accuracy and robustness compared to other methods.
- The approach provides non-invasive, spatiotemporal stress maps.
- Successful cross-validation of force inference with tissue ablation experiments.
Conclusions:
- Bayesian force inference is a highly accurate and robust method for measuring tissue stress.
- This technique offers a valuable tool for studying morphogenesis and tissue mechanics.
- The study provides guidance on selecting appropriate force inference methods for various biological systems.
