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Cell mechanics can be robustly derived from AFM indentation data using the brush model: error analysis

机译:细胞力学可以强劲来自AFM使用刷子模型:压痕数据错误分析

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摘要

The brush model was introduced to interpret AFM indentation data collected on biological cells in a more consistent way compared just to the traditional Hertz model. It takes into account the presence of non-Hertzian deformation of the pericellular brush-like layer surrounding cells (a mix of glycocalyx molecules and microvilli/microridges). The model allows finding the effective Young's modulus of the cell body in a less depth-dependent manner. In addition, it allows finding the force due to the pericellular brush layer. Compared to simple mechanical models used to interpret the indentation experiments, the brush model has additional complexity. It raises the concern about the possible unambiguity of separation of mechanical properties of the cell body and pericellular layer. Here we present the analysis of the robustness of the brush model and demonstrate a weak dependence of the obtained results on the uncertainties within the model and experimental data. We critically analyzed the use of the brush model on a variety of AFM force curves collected on rather distinct cell types: human cervical epithelial cells, rat neurons, and zebrafish melanocytes. We conclude that the brush model is robust; the errors in the definition of the effective Young's modulus due to possible uncertainties of the model and experimental data are within 4%, which is less than the error, for example, due to a typical uncertainty in the spring constant of the AFM cantilever. We also discuss the errors of parameterization of the force due to the pericellular brush layer.
机译:刷模型引入解释AFM压痕在生物细胞收集的数据更一致的方式相比的传统赫兹模型。non-Hertzian变形的存在pericellular我们层周围的细胞(glycocalyx分子和微绒毛/ microridges)。胞体的有效杨氏模量与深度有关的方式。由于pericellular允许找到力量刷层。用来解释压痕实验,笔刷模型具有额外的复杂性。提出了可能的含混标准的担忧分离的机械性能胞体和pericellular层。刷的可靠性分析模型和演示的弱依赖在模型和结果的不确定性实验数据。刷子模型的各种AFM力曲线上收集的,而不同的细胞类型:人类宫颈上皮细胞、大鼠神经元和斑马鱼黑色素细胞。模型是稳健;有效杨氏模量将成为可能不确定性的模型和实验数据在4%,低于错误,对吗例子中,由于一个典型的不确定性AFM悬臂弹簧常数。讨论了参数化的错误力由于pericellular刷层。

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