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Open AccessArticle
Cell–Electrode Models for Impedance Analysis of Epithelial and Endothelial Monolayers Cultured on Microelectrodes
by
Wei-Chih Chiu
Wei-Chih Chiu 1,
Wei-Ling Chen
Wei-Ling Chen 1,
Yi-Ting Lai
Yi-Ting Lai 2,
Yu-Han Hung
Yu-Han Hung
Dr. Yu-Han Hung is currently a postdoctoral scholar at the Department of Neurology, University of at [...]
Dr. Yu-Han Hung is currently a postdoctoral scholar at the Department of Neurology, University of California, Irvine. She received her bachelor’s degree at Chung Shan Medical University in 2016 and completed her PhD studies at the Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taiwan. Her research interests include neuropathological effects on stroke and microvascular disease, biomaterials, and electric cell-based impedance sensing.
3,*
and
Chun-Min Lo
Chun-Min Lo
Prof. Chun-Min Lo is an associate professor at the Department of Biomedical Engineering, National He [...]
Prof. Chun-Min Lo is an associate professor at the Department of Biomedical Engineering, National Yang Ming Chiao Tung University. He completed his PhD studies in Physics at the Rensselaer Polytechnic Institute. His research interests include the development and application of electric cell-based biosensors, the effects of substrate rigidity and physical forces on cellular functions, and polypeptide multilayer films for stem cell differentiation.
1,*
1
Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
2
Research Center for Applied Sciences, Academia Sinica, Taipei 11529, Taiwan
3
Department of Neurology, University of California, Irvine, CA 92697, USA
*
Authors to whom correspondence should be addressed.
Sensors 2024, 24(13), 4214; https://doi.org/10.3390/s24134214 (registering DOI)
Submission received: 29 May 2024
/
Revised: 21 June 2024
/
Accepted: 27 June 2024
/
Published: 28 June 2024
Abstract
Electric cell–substrate impedance sensing has been used to measure transepithelial and transendothelial impedances of cultured cell layers and extract cell parameters such as junctional resistance, cell–substrate separation, and membrane capacitance. Previously, a three-path cell–electrode model comprising two transcellular pathways and one paracellular pathway was developed for the impedance analysis of MDCK cells. By ignoring the resistances of the lateral intercellular spaces, we develop a simplified three-path model for the impedance analysis of epithelial cells and solve the model equations in a closed form. The calculated impedance values obtained from this simplified cell–electrode model at frequencies ranging from 31.25 Hz to 100 kHz agree well with the experimental data obtained from MDCK and OVCA429 cells. We also describe how the change in each model-fitting parameter influences the electrical impedance spectra of MDCK cell layers. By assuming that the junctional resistance is much smaller than the specific impedance through the lateral cell membrane, the simplified three-path model reduces to a two-path model, which can be used for the impedance analysis of endothelial cells and other disk-shaped cells with low junctional resistances. The measured impedance spectra of HUVEC and HaCaT cell monolayers nearly coincide with the impedance data calculated from the two-path model.
Share and Cite
MDPI and ACS Style
Chiu, W.-C.; Chen, W.-L.; Lai, Y.-T.; Hung, Y.-H.; Lo, C.-M.
Cell–Electrode Models for Impedance Analysis of Epithelial and Endothelial Monolayers Cultured on Microelectrodes. Sensors 2024, 24, 4214.
https://doi.org/10.3390/s24134214
AMA Style
Chiu W-C, Chen W-L, Lai Y-T, Hung Y-H, Lo C-M.
Cell–Electrode Models for Impedance Analysis of Epithelial and Endothelial Monolayers Cultured on Microelectrodes. Sensors. 2024; 24(13):4214.
https://doi.org/10.3390/s24134214
Chicago/Turabian Style
Chiu, Wei-Chih, Wei-Ling Chen, Yi-Ting Lai, Yu-Han Hung, and Chun-Min Lo.
2024. "Cell–Electrode Models for Impedance Analysis of Epithelial and Endothelial Monolayers Cultured on Microelectrodes" Sensors 24, no. 13: 4214.
https://doi.org/10.3390/s24134214
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