The Japanese Biochemical Society/The Molecular Biology Society of Japan

[1P-1406] Construction of a system using a deep learning algorithm to count cell numbers in nanoliter wells for viable single-cell experiments

〇Takashi Kamatani1, Koichi Fukunaga1, Kaede Miyata2, Yoshitaka Shirasaki2, Junji Tanaka4, Rie Baba1, Masako Matsusaka1, Naoyuki Kamatani4, Kazuyo Moro3, Tomoko Betsuyaku1, Sotaro Uemura2 (1.Division of Pulmonary Medicine, Keio University School of Medicine, 2.Dept. of Biol. Sci., Grad. Sch. of Sci., Univ. of Tokyo, 3.RIKEN Center for Integrative Medical Sciences, 4.StaGen Co. Ltd)

deep learning、single cell、convolutional neural network、type 2 innate lymphoid cells

This archive has moved to the member page of The Molecular Biology Society of Japan and The Japanese Biochemical Society.
Members of the either society can access the abstracts via links at the member page of the sites.
Please feel free to contact the journal offices for any inquiries.

Password