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A Parallel Cell Impedance Measurement System for Real-time Cell Growth Detection
Han,Yibo1; Lei,Kin Fong2; Pun,Sio Hang3; Mak,Peng Un1,4; Vai,Mang I.1
2019-09
Conference Name2nd IEEE International Conference on Information Systems and Computer Aided Education, ICISCAE 2019
Source Publication2019 2nd International Conference on Information Systems and Computer Aided Education, ICISCAE 2019
Pages249-252
Conference Date2019/09/28-2019/09/30
Conference PlaceDalian
Abstract

This paper presents a new automatic cell bio-impedance measurement system for multiple cell condition detections. To make sure this system can work in an easy and efficient way, an effective impedance detection method based on on-board cell number-impedance theory was put forward. The method aimed to measure cell impedance by detecting the changes of interfaces between cells and electrodes. Cell impedance can be detected, recorded and processed by an embedded electronic circuit system. Some carefully designed tests proved that this new system remained high sensitivity, high efficiency and good precision in real-time cell impedance monitoring. It has the potential for further application in other cell sensing fields.

KeywordCell Growth Impedance Measurement Real-time Detection
DOI10.1109/ICISCAE48440.2019.221628
URLView the original
Language英語English
Scopus ID2-s2.0-85084920874
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Citation statistics
Document TypeConference paper
CollectionFaculty of Science and Technology
THE STATE KEY LABORATORY OF ANALOG AND MIXED-SIGNAL VLSI (UNIVERSITY OF MACAU)
INSTITUTE OF MICROELECTRONICS
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Affiliation1.University of Macau,Department of Electrical and Computer Engineering,Faculty of Science and Technology,Macao
2.Chang Gung University,Graduate Institute of Medical Mechatronics,Taoyuan City,Taiwan
3.University of Macau,State Key Laboratory of Analog and Mixed-Signal VLSI,AMSV,Faculty of Science and Technology,Macao
4.University of Cambridge,Department of Electrical and Computer Engineering,Faculty of Science and Technology,CB3 0AS,United Kingdom
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Han,Yibo,Lei,Kin Fong,Pun,Sio Hang,et al. A Parallel Cell Impedance Measurement System for Real-time Cell Growth Detection[C], 2019, 249-252.
APA Han,Yibo., Lei,Kin Fong., Pun,Sio Hang., Mak,Peng Un., & Vai,Mang I. (2019). A Parallel Cell Impedance Measurement System for Real-time Cell Growth Detection. 2019 2nd International Conference on Information Systems and Computer Aided Education, ICISCAE 2019, 249-252.
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