Professor: Kazuhiro AOKI, Ph.D.
E-mail: k-aoki[at]
Specially Appointed Assistant Professor: Kagayaki KATO, Ph.D.
E-mail: kkat[at]
Specially Appointed Assistant Professor: Yusaku OHTA, Ph.D.
E-mail: yohta[at]



Modern microscopic techniques used in the biological and medical fields yield large amounts of imaging data that generally include multiple dimensions, such as depth and temporal axes. These specimens take on various shapes and are temporally unstable, thus making it difficult to quantitatively analyze biological specimens. To this end, we are developing algorithms and also applying machine-learning techniques for extracting image features out of multi-dimensional images for the purpose of conducting data analysis on bio-medical images. We are also embedding these techniques into the image processing pipeline to generate large amounts of imaging data. By combining these methodologies, we are aiming to create more efficient biological data analysis or medical diagnostic techniques.



・Furutani M, Hirano Y, Nishimura T, Nakamura M, Taniguchi M, Suzuki K, Oshida R, Kondo C, Sun S, Kato K, Fukao Y, Hakoshima T, Morita MT, Polar recruitment of RLD by LAZY1-like protein during gravity signaling in root branch angle control, Nat Commun., 11, 76 (2020).

・Fujita I, Shitamukai A, Kusumoto F, Mase S, Suetsugu T, Omori A, Kato K, Abe T, Shioi G, Konno D, Matsuzaki F, Endfoot regeneration restricts radial glial state and prevents translocation into the outer subventricular zone in early mammalian brain development, Nat Cell Biol., 22, 26-37 (2020).

・Nishimura R, Kato K, Fujiwara S, Ohashi K, Mizuno K, Solo and Keratin Filaments Regulate Epithelial Tubule Morphology, Cell Struct. Funct., 43, 95-105 (2018). 

・Kato K, Dong B, Wada H, Tanaka-Matakatsu M, Yagi Y, Hayashi S, Microtubule-dependent balanced cell contraction and luminal-matrix modification accelerate epithelial tube fusion, Nature Commun., 7, 11141 (2016).

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