Automated Parallel Electrical Characterization of Cells Using Optically-Induced Dielectrophoresis
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Article number | 8984249 |
Pages (from-to) | 1084-1092 |
Journal / Publication | IEEE Transactions on Automation Science and Engineering |
Volume | 17 |
Issue number | 2 |
Online published | 5 Feb 2020 |
Publication status | Published - Apr 2020 |
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Abstract
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 μm for the cell radius measurement.
Research Area(s)
- Automated measurement, biological cell, optically-induced dielectrophoresis (ODEP), specific membrane capacitance (SMC)
Citation Format(s)
Automated Parallel Electrical Characterization of Cells Using Optically-Induced Dielectrophoresis. / Liu, Na; Lin, Yanbin; Peng, Yan et al.
In: IEEE Transactions on Automation Science and Engineering, Vol. 17, No. 2, 8984249, 04.2020, p. 1084-1092.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review