[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