goda@chem.s.u-tokyo.ac.jp +81-3-5841-4329

Image-activated cell sorting (IACS) is an innovative technology that performs real-time image-based sorting of single cells at a high rate of >1000 events per second. It was first developed by a collaboration group led by Prof. Keisuke Goda. IACS extends beyond the capabilities of fluorescence-activated cell sorting (FACS) from fluorescence intensity profiles of cells to multidimensional images, thereby enabling high-content sorting of cells or cell clusters with unique spatial chemical and morphological traits such as intracellular protein localization and cell-cell interaction. Therefore, IACS serves as an integral part of holistic single-cell analysis by enabling direct links between population-level analysis (flow cytometry), cell-level analysis (microscopy), and gene-level analysis (sequencing). Specifically, IACS is based on a seamless integration of high-throughput cell microscopy (e.g., multicolor fluorescence imaging, bright-field imaging), cell focusing, and cell sorting on a hybrid software–hardware data management infrastructure, enabling real-time automated operation for data acquisition, data processing, decision making, and actuation. Deep learning can also be implemented on the IACS platform for more accurate analysis of cells. The technology is highly versatile and enables machine-based scientific discovery in biological, pharmaceutical, and medical sciences.

We currently work on a new class of biological, pharmaceutical, and medical applications based on the IACS platform. Such applications include cancer biology, immunology, food science, stem cell biology, environmental science, green energy, cell therapy, cancer diagnostics, and thrombosis diagnostics. New members are expected to participate in improving the system performance of our IACS technology and developing the new applications.

References
  • N. Nitta, T. Sugimura, A. Isozaki, H. Mikami, K. Hiraki, S. Sakuma, T. Iino, F. Arai, T. Endo, Y. Fujiwaki, H. Fukuzawa, M. Hase, T. Hayakawa, K. Hiramatsu, Y. Hoshino, M. Inaba, T. Ito, H. Karakawa, .., T. Yamano, A. Yasumoto, Y. Yatomi, M. Yazawa, D. Di Carlo, Y. Hosokawa, S. Uemura, Y. Ozeki, and K. Goda, "Intelligent image-activated cell sorting", Cell 175, 266 (2018)
  • M. Herbig, A. Isozaki, D. Di Carlo, J. Guck, N. Nitta, H. Shintaku, A. Wu, I. Nikaido, S. Kamikawaji, E. Suyama, R. Damoiseaux, and K. Goda, "Best practices for reporting throughput in biomedical research", Nature Methods 19, 633 (2022)
  • N. Nitta, T. Iino, A. Isozaki, M. Yamagishi, Y. Kitahama, S. Sakuma, Y. Suzuki, H. Tezuka, M. Oikawa, F. Arai, T. Asai, D. Deng, H. Fukuzawa, M. Hase, T. Hasunuma, T. Hayakawa, .., D. Di Carlo, Y. Hosokawa, S. Uemura, T. Sugimura, Y. Ozeki, and K. Goda, "Raman image-activated cell sorting", Nature Communications 11, 3452 (2020)
  • A. Isozaki, H. Mikami, K. Hiramatsu, S. Sakuma, Y. Kasai, T. Iino, T. Yamano, A. Yasumoto, Y. Oguchi, .., M. Yamada, S. Matsusaka, T. Hayakawa, H. Fukuzawa, Y. Yatomi, F. Arai, D. Di Carlo, A. Nakagawa, Y. Hoshino, Y. Hosokawa, S. Uemura, T. Sugimura, Y. Ozeki, N. Nitta, and K. Goda, "A practical guide to intelligent image-activated cell sorting", Nature Protocols 14, 2370 (2019)
  • A. Isozaki, H. Mikami, H. Tezuka, H. Matsumura, K. Huang, M. Akamine, K. Hiramatsu, T. Iino, T. Ito, H. Karakawa, Y. Kasai, Y. Li, Y. Nakagawa, .., T. Sugimura, N. Nitta, and K. Goda, "Intelligent image-activated cell sorting 2.0", Lab on a Chip 20, 2263 (2020)
  • H. Mikami, M. Kawaguchi, C.-J. Huang, H. Matsumura, T. Sugimura, K. Huang, C. Lei, S. Ueno, T. Miura, T. Ito, K. Nagasawa, T. Maeno, H. Watarai, M. Yamagishi, S. Uemura, S. Ohnuki, Y. Ohya, H. Kurokawa, S. Matsusaka, C.-W. Sun, Y. Ozeki, and K. Goda, "Virtual-freezing fluorescence imaging flow cytometry", Nature Communications 11, 1162 (2020)


Image-Activated Cell Sorting

  • Field leader: Akihiro Isozaki
  • Funding: JSPS Core-to-Core Program, JSPS Kiban S, JSPS Kiban A, White Rock Foundation, Super Yeast Crowdfunding Program
  • Collaboration: Serendipity Lab