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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

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. An, G., Akiba, M., Omodaka, K., Nakazawa, T., Yokota, H.: "Hierarchical deep learning models using transfer learning for disease detection and classification based on small number of medical images", Scientific Reports 10,1038/s41598-021-83503-7 (2021).
2. Inoue, J., Okada, M., Nagao, H., Yokota, H., Adachi, Y.: “Development of Data-Driven System in Materials Integration” , Materials Transactions 61(11), 2058-2066, DOI:10.2320/matertrans.MT-MA2020006 (2020).
3. Sato, D., Takamatsu, T., Umezawa M., Kitagawa, Y., Maeda, K., Hosokawa, N., Okubo, K., Kamimura, M., Kadota, T., Akimoto, T., Kinoshita, T., Yano, T., Kuwata, T., Ikematsu, H., Takemura, H., Yokota, H., Soga, K.: “Distinction of surgically resected gastrointestinal stromal tumor by near-infrared hyperspectral imaging” , Scientific Reports 10(1), DOI:10.1038/s41598-020-79021-7 (2020).
4. Yamashita, N., Morita, M., Yokota, H., Mimori-Kiyosue, Y.: "Digital Spindle: A New Way to Explore Mitotic Functions by Whole Cell Data Collection and a Computational Approach", Cells Vol. 9(5), 1255 (2020).
5. Sera, T., Higa, S., Zeshu, Y.. Takahi, K., Miyamoto, S., Fujiwara, T., Yokota, H., Sasaki, S., Kudo, S.: “A metabolic reaction–diffusion model for PKCα translocation via PIP2 hydrolysis in an endothelial cell” , Biochem J.477 (20): 4071–4084 (2020).

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