9th World Congress on Industrial Process Tomography
Image Reconstruction Algorithm for Visualization of Cell Living Rate in Microchannel with Multi-layer Electrodes by Micro Electrical Impedance Tomography
Daisuke Kawashima1*, Xiayi Liu1, Michiko Sugawara1, Hiromichi Obara2, and Masahiro Takei1
1Graduate School of Science & Engineering, Div. Fundamental Engineering, Dept. Mechanical Eng., Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba-shi, Chiba, 263-8522, Japan
2Graduate School of Science & Engineering, Dept. Mechanical Eng.,
Tokyo Metropolitan University, 1-1 Minami-Osawa, Hachioji-shi, Tokyo, 192-0364, Japan
*Email: ahta0253@chiba-u.jp
ABSTRACT
This paper proposes a novel image reconstruction technique in micro electrical impedance tomography (μEIT) which is EIT with micro sensor for measuring the spatial distribution and the volume fraction of living cell by strongly collaborating μEIT and electrical impedance spectroscopy (EIS). Based on EIS experiments of yeast cell, the difference between living and dead cells is whether the cells have membrane or not. In electrical impedance spectra, the characteristics of yeast cell membrane is shown around frequency, f = 700 kHz in terms of imaginary part of impedance, Z”. This paper proposes the ratio of Z” at differentfor image reconstruction of . For the evaluation of the reconstruction image, the numerical simulations of μEIT in microchannel with multi-layer electrodes, are performed based on the consideration of the ratio of Z”. As a result, the reconstructed images successfully recognizeand the distribution of cells at each .
Keywords Micro electrical impedance tomography, Microchannel with multi-layer electrodes, Yeast cell
Industrial Application General
Sign-in to access the full text
Copyright © International Society for Industrial Process Tomography, 2018. All rights reserved.