Image-based multi-scale mechanical analysis of strain amplification in neurons embedded in collagen gel
Image-based multi-scale mechanical analysis of strain amplification in neurons embedded in collagen gel
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DOI：
10.1080/10255842.2018.1538414
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发表时间：
2019-01-25
影响因子：
1.6
通讯作者：
Picu, Catalin R.
中科院分区：
文献类型：
--
作者：
Chan, Victor W. L.;Tobin, William R.;Picu, Catalin R.
提出了一种通用的多尺度策略，用于模拟一组嵌入胶原基质中的神经元的力学环境。多尺度模拟的结果用于估计当细胞外基质变形时神经元中出现的局部应变。局部应变的分布强烈依赖于嵌入的神经元相对于加载方向的配置，反映了各向异性的力学行为的神经元。更重要的是，周围的细胞外基质上施加的应变被放大的神经元的所有负载配置被认为是。在最严重的情况下，所施加的应变在10%的神经元体积中被放大至少2倍。在本文中提出的方法提供了一个扩展到过去的方法的能力，使复杂的细胞几何形状到一个多尺度的框架的现实表示。嵌入式神经元的模拟结果提供了当前实验技术无法获得的局部应变信息。
A general multi-scale strategy is presented for modeling the mechanical environment of a group of neurons that were embedded within a collagenous matrix. The results of the multi-scale simulation are used to estimate the local strains that arise in neurons when the extracellular matrix is deformed. The distribution of local strains was found to depend strongly on the configuration of the embedded neurons relative to the loading direction, reflecting the anisotropic mechanical behavior of the neurons. More importantly, the applied strain on the surrounding extracellular matrix is amplified in the neurons for all loading configurations that are considered. In the most severe case, the applied strain is amplified by at least a factor of 2 in 10% of the neurons' volume. The approach presented in this paper provides an extension to the capability of past methods by enabling the realistic representation of complex cell geometry into a multi-scale framework. The simulation results for the embedded neurons provide local strain information that is not accessible by current experimental techniques.