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从球形颗粒的表面变形重构其应力的分析方法。

Analytical method for reconstructing the stress on a spherical particle from its surface deformation.

机构信息

Institute of Theoretical Physics, Center for Soft Nanoscience, University of Münster, Münster, Germany.

Institute of Theoretical Physics, Center for Soft Nanoscience, University of Münster, Münster, Germany; DAMTP, Centre for Mathematical Sciences, University of Cambridge, Cambridge, UK.

出版信息

Biophys J. 2024 Mar 5;123(5):527-537. doi: 10.1016/j.bpj.2024.01.017. Epub 2024 Jan 22.

Abstract

The mechanical forces that cells experience from the tissue surrounding them are crucial for their behavior and development. Experimental studies of such mechanical forces require a method for measuring them. A widely used approach in this context is bead deformation analysis, where spherical particles are embedded into the tissue. The deformation of the particles then allows to reconstruct the mechanical stress acting on them. Existing approaches for this reconstruction are either very time-consuming or not sufficiently general. In this article, we present an analytical approach to this problem based on an expansion in solid spherical harmonics that allows us to find the complete stress tensor describing the stress acting on the tissue. Our approach is based on the linear theory of elasticity and uses an ansatz specifically designed for deformed spherical bodies. We clarify the conditions under which this ansatz can be used, making our results useful also for other contexts in which this ansatz is employed. Our method can be applied to arbitrary radial particle deformations and requires a very low computational effort. The usefulness of the method is demonstrated by an application to experimental data.

摘要

细胞从周围组织中感受到的机械力对于它们的行为和发育至关重要。实验研究这类机械力需要一种测量方法。在这种情况下,一种广泛应用的方法是珠粒变形分析,其中将球形颗粒嵌入组织中。然后,通过颗粒的变形,可以重建作用于它们的机械应力。现有的这种重建方法要么非常耗时,要么不够通用。在本文中,我们提出了一种基于固体球谐函数展开的分析方法,该方法可以找到完整的张量来描述作用于组织的应力。我们的方法基于弹性力学的线性理论,并使用了专门为变形球体设计的假设。我们澄清了可以使用该假设的条件,使我们的结果也可用于其他采用该假设的情况下。我们的方法可应用于任意的径向粒子变形,且需要非常低的计算量。该方法的有效性通过对实验数据的应用得到了验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a94/10938078/a1596677358a/gr1.jpg

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