Discovery of Effective Spectrum for Classifying iPS Cells Taken with CARS Microscope

Ryouichi Furukawa, Yohei Hayashi, Hideaki Kano, Junichi Matsumoto, Shoichi Honda, Kazuhiro Hotta

2022

Abstract

There is a technique using the CARS (Coherent Anti-Stokes Raman Scattering) microscope to identify iPS cells. CARS microscope can visualize the different molecular structures of iPS cells in each spectrum, so it is possible to identify iPS cells without destroying them. However, the information on molecules in the spectrum obtained by the CARS microscope is so diverse that it takes a great deal of time and effort to identify them. We propose a method to automatically identify the spectrum, which is effective for iPS cell identification, thereby reducing the time and effort required for identification using the CARS microscope. In this paper, we propose a network that handles multi-resolution information in parallel to learn both image classification and segmentation simultaneously. Moreover, the effective spectrum for classifying iPS cells are discovered by using the network gradients and the F-measure for cell segmentation. By the experiments on four kinds of iPS cells, we confirmed that the accuracy of the proposed method for classifying iPS cells achieved 99%. Furthermore, the effective spectrum for each iPS cell could be automatically identified.

Paper Citation

in Harvard Style

Furukawa R., Hayashi Y., Kano H., Matsumoto J., Honda S. and Hotta K. (2022). Discovery of Effective Spectrum for Classifying iPS Cells Taken with CARS Microscope. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 4: BIOSIGNALS; ISBN 978-989-758-552-4, SciTePress, pages 228-235. DOI: 10.5220/0010900200003123

in Bibtex Style

@conference{biosignals22,
author={Ryouichi Furukawa and Yohei Hayashi and Hideaki Kano and Junichi Matsumoto and Shoichi Honda and Kazuhiro Hotta},
title={Discovery of Effective Spectrum for Classifying iPS Cells Taken with CARS Microscope},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 4: BIOSIGNALS},
year={2022},
pages={228-235},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010900200003123},
isbn={978-989-758-552-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 4: BIOSIGNALS
TI - Discovery of Effective Spectrum for Classifying iPS Cells Taken with CARS Microscope
SN - 978-989-758-552-4
AU - Furukawa R.
AU - Hayashi Y.
AU - Kano H.
AU - Matsumoto J.
AU - Honda S.
AU - Hotta K.
PY - 2022
SP - 228
EP - 235
DO - 10.5220/0010900200003123
PB - SciTePress