基于机器视觉的单细胞生物物理特性测量方法

Sheng-Zong Chen, Zhizhong Zhang, Rong Zhu
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引用次数: 0

摘要

单细胞生物物理性质的测定对细胞分选、细胞病理跟踪等具有重要意义。基于Dielectrophoresis (DEP)的单细胞检测技术因其无创、无标记、易于与其他功能结构集成等优点而受到越来越多的关注。然而,基于dep方法的测量精度和效率在很大程度上依赖于细胞运动跟踪。在这里,我们提出了一种基于机器视觉的DEP运动跟踪方法,以实现对单细胞生物物理特性的准确和快速测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine Vision Based Method for Measuring Single-Cell Biophysical Properties Using Dielectrophoresis Mobility
Measurement on single-cell biophysical properties is of great significance for cell sorting, cytopathology tracking, etc. Dielectrophoresis (DEP) based single-cell measurement has attracted increasingly interests because of its non-invasive, label-free, and easy integration with other functional structures. However, the measurement accuracy and efficiency of DEP-based method highly depends on cell motion tracking. Here, we propose a machine vision-based DEP motion tracking method to realize accurate and fast measurements on single-cell biophysical properties.
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