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Outline

Our goal is to develop original RIKEN data processing technology and multidimensional measurement technology in order to contribute to understanding biological phenomena. We are especially contributing to the fields of mathematical biology, bio-medical simulations as well as medical diagnostic and treatment technology by researching and developing new data and image processing technologies and establishing new tools for quantification of biological phenomena, intended for researchers both inside and outside RIKEN.

Fields

Engineering, Informatics, Computer Science

Keywords

Multi dimensional image processing, Multi dimensional imaging, Bioengineering, Image analysis, Medical engineering

Subjects

1. Development of algorithms for image processing
2. Development of image processing systems
3. Construction of instrumentation system for bio-research data creation

Selected Publications

1. Sasaki, S., Mori, T., Enomoto, H., Nakamura, S., Yokota, H., Yamashita, H., Goto-Inoue, N., “Assessing Molecular Localization of Symbiont Microalgae in Coral Branches Through Mass Spectrometry Imaging”, Mar Biotechnol (2024).
2. Wang, J., Maeda, E., Tsujimura, Y., Abe, T., Kiyonari, H., Kitaguchi, T., Yokota, H., Matsumoto, T., “In situ FRET measurement of cellular tension using conventional confocal laser microscopy in newly established reporter mice expressing actinin tension sensor”, Scientific Reports. 13, Article number, 22729 (2023).
3. Takemoto, S., Hori, K., Yoshimasa, S., Nishimura, M., Nakajo, K., Inaba, A., Sasabe, M., Aoyama, N., Watanabe, T., Minakata, T., Ikematsu, H., Yokota, H., Yano, T.: “Computer-aided demarcation of early gastric cancer: a pilot comparative study with ndoscopists” , Journal of Gastroenterology (2023).
4. Umebayashi, M., Takemoto, S., Reymond, L., Sundukova, M., Hovius, R., Bucci, A., Heppenstall, P.A., Yokota, H., Johnsson, K., Riezman, H.: “A covalently-linked probe to monitor local membrane properties surrounding plasma membrane proteins” , Journal of Cell Biology, 222(3):e202206119 (2023).
5. Mitsui, T., Mori, A., Takamatsu, T., Kadota, T., Sato, K., Fukushima, R, Okubo, K., Umezawa, M., Takemura, H., Yokota, H., Kuwata, T., Kinoshita, T., Ikematsu, H., Yano, T., Maeda, S., Soga, K., “Evaluating the identification of the extent of gastric cancer by over-1000 nm near-infrared hyperspectral imaging using surgical specimens”, Journal of Biomedical Optics. Vol. 28. Issue 8, 086001 (2023).

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