Article
Robotic data acquisition with deep learning enables cell image-based prediction of transcriptomic phenotypes.
Proceedings of the National Academy of Sciences of the United States of America - 3 Jan 2023
Jin Jianshi, Ogawa Taisaku, Hojo Nozomi, Kryukov Kirill, Shimizu Kenji, Ikawa Tomokatsu, Imanishi Tadashi, Okazaki Taku, Shiroguchi Katsuyuki
Abstract excerpt
Single-cell whole-transcriptome analysis is the gold standard approach to identifying molecularly defined cell phenotypes. However, this approach cannot be used for dynamics measurements such as live-cell imaging. Here, we developed a multifunctional robot, the automated live imaging and cell picking system (ALPS) and used it to perform single-cell RNA sequencing for microscopically observed cells with multiple...
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