Intelligent image-activated cell sorting 2.0

Author:

Isozaki Akihiro12345ORCID,Mikami Hideharu1234ORCID,Tezuka Hiroshi6234,Matsumura Hiroki1234ORCID,Huang Kangrui1234ORCID,Akamine Marino1234,Hiramatsu Kotaro1234ORCID,Iino Takanori7284ORCID,Ito Takuro12349,Karakawa Hiroshi1234,Kasai Yusuke1011124,Li Yan1131415,Nakagawa Yuta1234ORCID,Ohnuki Shinsuke162174,Ota Tadataka1234,Qian Yong1131415,Sakuma Shinya1011124ORCID,Sekiya Takeichiro7284,Shirasaki Yoshitaka18234ORCID,Suzuki Nobutake18234,Tayyabi Ehsen11915,Wakamiya Tsubasa1234,Xu Muzhen1234ORCID,Yamagishi Mai18234ORCID,Yan Haochen1234ORCID,Yu Qiang7284,Yan Sheng1234ORCID,Yuan Dan1234ORCID,Zhang Wei1131415,Zhao Yaqi1234ORCID,Arai Fumihito1011124,Campbell Robert E.12341ORCID,Danelon Christophe20212223,Di Carlo Dino123424,Hiraki Kei1234,Hoshino Yu2526274ORCID,Hosokawa Yoichiroh2829304,Inaba Mary6234,Nakagawa Atsuhiro3132334,Ohya Yoshikazu16217434,Oikawa Minoru3536374,Uemura Sotaro18234,Ozeki Yasuyuki7284ORCID,Sugimura Takeaki12349ORCID,Nitta Nao12349ORCID,Goda Keisuke12349ORCID

Affiliation:

1. Department of Chemistry

2. The University of Tokyo

3. Tokyo 113-0033

4. Japan

5. Kanagawa Institute of Industrial Science and Technology

6. Department of Creative Informatics

7. Department of Electrical Engineering and Information Systems

8. Tokyo 113-8656

9. Japan Science and Technology Agency

10. Department of Micro-Nano Mechanical Science and Engineering

11. Nagoya University

12. Nagoya 464-8601

13. University of Alberta

14. Edmonton T6G 2G2

15. Canada

16. Department of Integrated Biosciences

17. Kashiwa

18. Department of Biological Sciences

19. University of Toronto

20. Department of Bionanoscience

21. Delft University of Technology

22. Delft 2629 HZ

23. The Netherlands

24. Department of Bioengineering

25. Department of Chemical Engineering

26. Kyushu University

27. Fukuoka 819-0395

28. Division of Materials Science

29. Nara Institute of Science and Technology

30. Ikoma 630-0192

31. Department of Neurosurgery

32. Tohoku University

33. Sendai 980-8577

34. AIST-UTokyo Advanced Operando-Measurement Technology Open Innovation Laboratory (OPERANDO-OIL)

35. Natural Sciences Cluster

36. Sciences Unit

37. Kochi University

Abstract

The upgraded version of intelligent image-activated cell sorting (iIACS) has enabled higher-throughput and more sensitive intelligent image-based sorting of single live cells from heterogeneous populations.

Funder

Cabinet Office, Government of Japan

Council for Science, Technology and Innovation

Japan Society for the Promotion of Science

Nakatani Foundation for Advancement of Measuring Technologies in Biomedical Engineering

Precise Measurement Technology Promotion Foundation

Publisher

Royal Society of Chemistry (RSC)

Subject

Biomedical Engineering,General Chemistry,Biochemistry,Bioengineering

Reference44 articles.

1. Intelligent Image-Activated Cell Sorting

2. A practical guide to intelligent image-activated cell sorting

3. L. A. Herzenberg , C.Gottlinger , W.Muller , A.Radbruch and D.Recktenwald , Flow cytometry and cell sorting , Springer , Berlin Heidelberg , 2nd edn, 1992

4. The History and Future of the Fluorescence Activated Cell Sorter and Flow Cytometry: A View from Stanford

5. Modern Flow Cytometry: A Practical Approach

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