Sensors and Materials
ISSN 0914-4935

Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Sensors and Materials,
Volume 30, Number 7(1) (2018)

Copyright(C) MYU K.K. All Rights Reserved.
pp. 1499-1508
S&M1604
https://doi.org/10.18494/SAM.2018.1831
Published: July 13, 2018

Internet-of-Things-based Electric Cell-substrate Impedance Sensing System [PDF]

Chan-Young Park, Mi-So Lee, Yu-Seop Kim, Hye-Jeong Song, and Jong-Dae Kim

(Received December 1, 2017; Accepted January 29, 2018)

Keywords: electrical cell-substrate impedance sensing, lock-in detection, sine fitting method, samples per second, Internet of Things, web-based graphical user interface

In this paper, we propose an electric cell-substrate impedance sensing system that can be accessed from the internet. The hardware specification was derived using numerical simulations and culture chamber impedance emulators, and the impedance calculation methods were compared. In addition, we propose server-type software to easily control and monitor the system from the internet. Experimental results show that it is advantageous to use an acquisition device of 50 mega samples per second or more and to calculate the impedance using a sine fitting method rather than the lock-in detection method that is generally used. During experiments, there was no problem accessing the proposed server from the outside with standard computing devices.

Corresponding author: Jong-Dae Kim


Cite this article
Chan-Young Park, Mi-So Lee, Yu-Seop Kim, Hye-Jeong Song, and Jong-Dae Kim, Internet-of-Things-based Electric Cell-substrate Impedance Sensing System, Sens. Mater., Vol. 30, No. 7, 2018, p. 1499-1508.


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