Combined strategies for optimal detection of the contact point in AFM force-indentation curves obtained on thin samples and adherent cells.
Combined strategies for optimal detection of the contact point in AFM force-indentation curves obtained on thin samples and adherent cells.
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DOI：
10.1038/srep21267
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发表时间：
2016-02-19
影响因子：
4.6
通讯作者：
Gavara N
中科院分区：
文献类型：
--
作者：
Gavara N
原子力显微镜（AFM）是一种广泛使用的研究细胞力学的工具。当前的原子力显微镜装置对活细胞进行高通量探测，产生大量的力压痕曲线，随后使用接触力学模型进行分析。在这里，我们提出了几种算法来检测力压痕曲线中的接触点，这是实现AFM生成数据的全自动分析的关键一步。我们量化和排名的性能，我们的算法通过分析一千薄软均匀的水凝胶，模仿贴壁细胞的刚度和地形轮廓上获得的力压痕曲线。我们利用的事实，所有提出的算法是基于顺序搜索策略，并表明，它们的组合产生最准确和无偏的结果。最后，我们还观察到改进的性能时，贴壁细胞上获得的力-压痕曲线进行分析，使用我们的组合策略，相比大多数以前的细胞力学研究中使用的经典算法。
Atomic Force Microscopy (AFM) is a widely used tool to study cell mechanics. Current AFM setups perform high-throughput probing of living cells, generating large amounts of force-indentations curves that are subsequently analysed using a contact-mechanics model. Here we present several algorithms to detect the contact point in force-indentation curves, a crucial step to achieve fully-automated analysis of AFM-generated data. We quantify and rank the performance of our algorithms by analysing a thousand force-indentation curves obtained on thin soft homogeneous hydrogels, which mimic the stiffness and topographical profile of adherent cells. We take advantage of the fact that all the proposed algorithms are based on sequential search strategies, and show that a combination of them yields the most accurate and unbiased results. Finally, we also observe improved performance when force-indentation curves obtained on adherent cells are analysed using our combined strategy, as compared to the classical algorithm used in the majority of previous cell mechanics studies.