Intelligent Cell Search Engine
39 Pages
Posted: 7 Jan 2019
Sneak Peek Status: Published
See all articles by Nao NittaJapan Science and Technology Agency (JST)
Japan Science and Technology Agency (JST)
University of Tokyo - Department of Chemistry
University of Tokyo - Department of Chemistry
University of Tokyo - Department of Chemistry
Nagoya University - Department of Micro-Nano Mechanical Science and Engineering
University of Tokyo - Department of Electrical Engineering and Information Systems (EEIS)
Nagoya University - Department of Micro-Nano Mechanical Science and Engineering
Riken Advanced Intelligence Project
University of Tokyo - Department of Electrical Engineering and Information Systems (EEIS)
Kyoto University - Graduate School of Biostudies
University of Tokyo - Department of Chemistry
Chuo University - Department of Precision Mechanics
University of Tokyo - Department of Chemistry
Kyushu University - Department of Chemical Engineering
University of Tokyo - Department of Creative Informatics
Japan Science and Technology Agency (JST)
University of Tokyo - Department of Chemistry
Nagoya University - Department of Micro-Nano Mechanical Science and Engineering
University of Tokyo - Department of Creative Informatics
University of Tokyo - Department of Chemistry
University of Tokyo - Department of Chemistry
University of California, Los Angeles (UCLA) - Department of Bioengineering
University of Tokyo - Institute of Medical Science
Japanese Foundation for Cancer Research - Department of Gastroenterology
University of Tokyo - Department of Creative Informatics
Tohoku University - Department of Neurosurgery
University of Tokyo - Department of Biological Sciences
Kochi University - Natural Sciences Cluster
University of Tokyo - Department of Chemistry
Japanese Foundation for Cancer Research - Division of Protein Engineering
Kyoto University - Department of Micro Engineering
University of Tokyo - Department of Biological Sciences
Japanese Foundation for Cancer Research - Division of Protein Engineering
University of Tokyo - Department of Electrical Engineering and Information Systems (EEIS)
University of Tokyo - Department of Biological Sciences
RIKEN Quantitative Biology Center
University of Tokyo - Department of Creative Informatics
Kyoto University - Graduate School of Biostudies
RIKEN Quantitative Biology Center
Riken Advanced Intelligence Project
University of Tokyo - Department of Biological Sciences
Kyoto University - Graduate School of Biostudies
University of Tokyo - Department of Clinical Laboratory Medicine
University of Tokyo - Department of Clinical Laboratory Medicine
Columbia University - Department of Rehabilitation and Regenerative Medicine
University of Tokyo - Department of Chemistry
Nara Institute of Science and Technology - Graduate School of Materials Science
University of Tokyo - Department of Biological Sciences
University of Tokyo - Department of Electrical Engineering and Information Systems (EEIS)
University of Tokyo - Department of Chemistry
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Abstract
A fundamental challenge of biology is to understand the vast heterogeneity of cells, particularly how cellular composition, structure, and morphology are linked to cellular physiology. Unfortunately, conventional technologies are limited in uncovering these relations. We present a real-time machine intelligence technology based on a radically new architecture that realizes real-time image-based intelligent cell search and sorting at an unprecedented rate. The technology integrates high-throughput cell 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. Specifically, we use it to demonstrate real-time sorting of microalgal and blood cells based on intracellular protein localization and cell-cell interaction from large heterogeneous populations for studying photosynthesis and atherothrombosis, respectively. Our technology is highly versatile and expected to enable machine-based scientific discovery in biological, pharmaceutical, and medical sciences.
Suggested Citation:
Suggested Citation
Nitta, Nao and Sugimura, Takeaki and Isozaki, Akihiro and Mikami, Hideharu and Hiraki, Kei and Sakuma, Shinya and Iino, Takanori and Arai, Fumihito and Endo, Taichiro and Fujiwaki, Yasuhiro and Fukuzawa, Hideya and Hase, Misa and Hayakawa, Takeshi and Hiramatsu, Kotaro and Hoshino, Yu and Inaba, Mary and Ito, Takuro and Karakawa, Hiroshi and Kasai, Yusuke and Koizumi, Kenichi and Lee, SangWook and Lei, Cheng and Li, Ming and Maeno, Takanori and Matsusaka, Satoshi and Murakami, Daichi and Nakagawa, Atsuhiro and Oguchi, Yusuke and Oikawa, Minoru and Ota, Tadataka and Shiba, Kiyotaka and Shintaku, Hirofumi and Shirasaki, Yoshitaka and Suga, Kanako and Suzuki, Yuta and Suzuki, Nobutake and Tanaka, Yo and Tezuka, Hiroshi and Toyokawa, Chihana and Yalikun, Yaxiaer and Yamada, Makoto and Yamagishi, Mai and Yamano, Takashi and Yasumoto, Atsushi and Yatomi, Yutaka and Yazawa, Masayuki and Di Carlo, Dino and Hosokawa, Yoichiroh and Uemura, Sotaro and Ozeki, Yasuyuki and Goda, Keisuke, Intelligent Cell Search Engine (2018). Available at SSRN:
https://ssrn.com/abstract=3204560 or
http://dx.doi.org/10.2139/ssrn.3204560
This is a paper under consideration at Cell Press and has not been peer-reviewed.
