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Automated Parallel Electrical Characterization of Cells Using Optically-Induced Dielectrophoresis
IEEE Transactions on Automation Science and Engineering ( IF 5.6 ) Pub Date : 2020-02-05 , DOI: 10.1109/tase.2019.2963044
Na Liu , Yanbin Lin , Yan Peng , Liming Xin , Tao Yue , Yuanyuan Liu , Changhai Ru , Shaorong Xie , Liang Dong , Huayan Pu , Haige Chen , Wen J. Li , Yu Sun

This article reports an automated optically-induced dielectrophoresis (ODEP) system for characterizing the specific membrane capacitance (SMC) of individual cells. The simulation of cell motion is conducted to analyze the electrokinetic forces acting on the cell. A self-developed visual tracking algorithm for multicells is used to realize an automated process for determining the frequency-sweeping range, crossover frequencies, and cell radii. The SMC values of malignant bladder cancer cells (T24 and RT4) and normal urothelial cells (SV-HUC-1) were quantified using the automated system, demonstrating that the system has a measurement speed of ~1 cell/s, an accuracy of 1 kHz for the crossover frequency determination, and an accuracy of $0.2~\mu \text{m}$ for the cell radius measurement. Note to Practitioners —The current manual optically-induced dielectrophoresis (ODEP) quantification of the specific membrane capacitance (SMC) values of the cells requires a tedious and time-consuming procedure for measuring the cell size and crossover frequency. The automated ODEP approach presented in this article was developed to identify multiple cells and trigger alternating current (ac) bias potential for measuring the radius and crossover frequency of multiple cells. Compared to the manual method, the automated system significantly improves the efficiency of the SMC measurement.

中文翻译:

使用光诱导介电泳的细胞自动并行电表征

本文报道了一种自动光诱导介电电泳(ODEP)系统,用于表征单个细胞的特定膜电容(SMC)。进行细胞运动的模拟以分析作用在细胞上的电动势。自行开发的多小区视觉跟踪算法用于实现确定扫频范围,交叉频率和小区半径的自动化过程。使用自动系统对恶性膀胱癌细胞(T24和RT4)和正常尿道上皮细胞(SV-HUC-1)的SMC值进行定量,证明该系统的测量速度约为1个细胞/秒,准确度为1 kHz用于确定交叉频率,精度为 $ 0.2〜\ mu \ text {m} $ 用于测量细胞半径。 执业者注意 -当前对细胞的比膜电容(SMC)值进行的手动光诱导介电电泳(ODEP)定量分析需要繁琐且耗时的过程来测量细胞大小和交叉频率。本文介绍的自动ODEP方法被开发用于识别多个电池并触发交流电(ac)偏置电势,以测量多个电池的半径和交叉频率。与手动方法相比,自动化系统显着提高了SMC测量的效率。
更新日期:2020-04-22
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