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Journal of Bioscience and Bioengineering|October 20, 2020
Pseudo-nuclear staining of cells by deep learning improves the accuracy of automated cell counting in a label-free cellular populationYuji Tsuzuki, Sho Sanami, Kenji Sugimoto, et al.Scientific Reports|November 16, 2019
Time-lapse image analysis for whole colony growth curves and daily distribution of the cell number per colony during the expansion of mesenchymal stem cellsMitsuru Mizuno, Hisako Katano, Yuri Shimozaki, et al.Reproductive Medicine and Biology|July 21, 2020
Development of an automated two pronuclei detection system on time-lapse embryo images using deep learning techniquesNoritaka Fukunaga, Sho Sanami, Hiroya Kitasaka, et al.Iscience|February 26, 2024
Noninvasive total counting of cultured cells using a home-use scanner with a pattern sheetMitsuru Mizuno, Yoshitaka Maeda, Sho Sanami, et al.Journal of Artificial Organs : the Official Journal of the Japanese Society for Artificial Organs|June 23, 2021
Rapid and sensitive mycoplasma detection system using image-based deep learningHiroko Iseoka, Masao Sasai, Shigeru Miyagawa, et al.Scientific Reports|October 31, 2018
Intravital imaging with two-photon microscopy reveals cellular dynamics in the ischeamia-reperfused rat heartRyohei Matsuura, Shigeru Miyagawa, Satsuki Fukushima, et al.Scientific Data|November 14, 2018
Phase contrast time-lapse microscopy datasets with automated and manual cell tracking annotationsDai Fei Elmer Ker, Sungeun Eom, Sho Sanami, et al.Pageof 1