Journal of Robotics, Networking and Artificial Life

Volume 4, Issue 4, March 2018, Pages 330 - 333

Simulation of Cell Dielectric Properties Based on COMSOL

Authors
Shudong Li, Xiaoyan Chen, Fengze Han
Corresponding Author
Xiaoyan Chen
Available Online 31 March 2018.
DOI
10.2991/jrnal.2018.4.4.16How to use a DOI?
Keywords
dielectric properties, cell model, excitation frequency, finite element method (FEM), auxiliary method
Abstract

The dielectric properties of cells can be observed by injecting a low amplitude current at different frequencies (1MHz~100MHz). The simulation research is taken on the software platform named COMSOL Multiphysics. The electric field and the cell model is created with prior information. By simulation, it’s verified that at low frequencies, the region of interest (ROI) behaves the conductivity characteristic while the electrical signal cannot pass through the cell membrane due to its capacitor properties. With the excitation frequency increasing, the ROI behaves more permittivity characteristic that the current flowing through the cell membrane becomes more and the current density increases. The research of the cell dielectric properties provides an auxiliary method to diagnose the status of the cell.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
4 - 4
Pages
330 - 333
Publication Date
2018/03/31
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.2018.4.4.16How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Shudong Li
AU  - Xiaoyan Chen
AU  - Fengze Han
PY  - 2018
DA  - 2018/03/31
TI  - Simulation of Cell Dielectric Properties Based on COMSOL
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 330
EP  - 333
VL  - 4
IS  - 4
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2018.4.4.16
DO  - 10.2991/jrnal.2018.4.4.16
ID  - Li2018
ER  -