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首页> 外文期刊>Nanotechnology >Measuring the nanomechanical properties of cancer cells by digital pulsed force mode imaging
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Measuring the nanomechanical properties of cancer cells by digital pulsed force mode imaging

机译：通过数字脉冲力模式成像测量癌细胞的纳米力学性能

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摘要

In this paper, we demonstrate that the digital pulsed force mode data can distinguish two cancer cell lines (HeLa, Panc) by their mechanical properties. The live cells were imaged in buffer solution. The digital pulsed force mode measured 175 force-distance curves per second which, due to the speed of the measurement, were distorted by the viscous drag in the buffer. We show that this drag force causes a sinusoidal addition to the force-distance curves. By subtracting the viscous drag effect one obtains standard force-distance curves. The force-distance curves are then evaluated to extract key data on the curves, such as adhesion energies, local stiffness or the width of the hysteresis loop. These data are then correlated to classify the force-distance curves. We show examples based on the width of the hysteresis loop and the adhesion energies. Outliers in this classification scheme are points where, potentially, interesting new physics or different physics might happen. Based on classification schemes adapted to experimental settings, we propose that the digital pulsed force mode is a tool to evaluate the time evolution of the mechanical response of cells.
机译：在本文中，我们证明了数字脉冲力模式数据可以通过其机械特性来区分两种癌细胞系（HeLa，Panc）。将活细胞在缓冲溶液中成像。数字脉冲力模式每秒测量175条力-距离曲线，由于测量速度的原因，该曲线因缓冲中的粘性阻力而变形。我们表明，这种拖曳力会导致力-距离曲线成正弦加法。通过减去粘性阻力效应，可以获得标准力-距离曲线。然后评估力-距离曲线，以提取曲线上的关键数据，例如附着力，局部刚度或磁滞回线的宽度。然后将这些数据关联起来以对力-距离曲线进行分类。我们展示了基于磁滞回线宽度和粘附能的示例。此分类方案中的异常值是可能发生有趣的新物理或不同物理的点。基于适合实验设置的分类方案，我们提出数字脉冲力模式是一种评估细胞机械反应时间演变的工具。

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