Intelligent Image-Activated Cell Sorting

被引：415

作者：

Nitta, Nao ^{[1
,2
]}

Sugimura, Takeaki ^{[1
,2
]}

Isozaki, Akihiro ^{[1
]}

Mikami, Hideharu ^{[1
]}

Hiraki, Kei ^{[1
]}

Sakuma, Shinya ^{[3
]}

Iino, Takanori ^{[4
]}

Arai, Fumihito ^{[3
]}

Endo, Taichiro ^{[5
,6
]}

Fujiwaki, Yasuhiro ^{[4
]}

Fukuzawa, Hideya ^{[7
]}

Hase, Misa ^{[1
]}

Hayakawa, Takeshi ^{[8
]}

Hiramatsu, Kotaro ^{[1
]}

Hoshino, Yu ^{[9
]}

Inaba, Mary ^{[10
]}

Ito, Takuro ^{[1
,2
]}

Karakawa, Hiroshi ^{[1
]}

Kasai, Yusuke ^{[3
]}

Koizumi, Kenichi ^{[10
]}

Lee, SangWook ^{[1
]}

Lei, Cheng ^{[1
]}

Li, Ming ^{[11
]}

Maeno, Takanori ^{[12
]}

Matsusaka, Satoshi ^{[13
]}

Murakami, Daichi ^{[10
]}

Nakagawa, Atsuhiro ^{[14
]}

Oguchi, Yusuke ^{[15
]}

Oikawa, Minoru ^{[16
]}

Ota, Tadataka ^{[1
]}

Shiba, Kiyotaka ^{[17
]}

Shintaku, Hirofumi ^{[18
]}

Shirasaki, Yoshitaka ^{[15
]}

Suga, Kanako ^{[17
]}

Suzuki, Yuta ^{[4
]}

Suzuki, Nobutake ^{[15
]}

Tanaka, Yo ^{[19
]}

Tezuka, Hiroshi ^{[10
]}

Toyokawa, Chihana ^{[7
]}

Yalikun, Yaxiaer ^{[19
]}

Yamada, Makoto ^{[5
,20
]}

Yamagishi, Mai ^{[15
]}

Yamano, Takashi ^{[7
]}

Yasumoto, Atsushi ^{[21
]}

Yatomi, Yutaka ^{[21
]}

Yazawa, Masayuki ^{[22
]}

Di Carlo, Dino ^{[1
,11
,23
,24
]}

Hosokawa, Yoichiroh ^{[25
]}

Uemura, Sotaro ^{[15
]}

Ozeki, Yasuyuki ^{[4
]}

机构：

[1] Univ Tokyo, Dept Chem, Tokyo 1130033, Japan

[2] Japan Sci & Technol Agcy, Saitama 3320012, Japan

[3] Nagoya Univ, Dept Micronano Mech Sci & Engn, Nagoya, Aichi 4648603, Japan

[4] Univ Tokyo, Dept Elect Engn & Informat Syst, Tokyo 1138656, Japan

[5] RIKEN, Ctr Adv Intelligence Project, Tokyo 1030027, Japan

[6] ExaWizards Inc, Tokyo 1050013, Japan

[7] Kyoto Univ, Grad Sch Biostudies, Kyoto 6068502, Japan

[8] Chuo Univ, Dept Precis Mech, Tokyo 1128551, Japan

[9] Kyushu Univ, Dept Chem Engn, Fukuoka, Fukuoka 8190395, Japan

[10] Univ Tokyo, Dept Creat Informat, Tokyo 1130033, Japan

[11] Univ Calif Los Angeles, Dept Bioengn, Los Angeles, CA 90095 USA

[12] Univ Tokyo, Inst Med Sci, Tokyo 1088639, Japan

[13] Japanese Fdn Canc Res, Canc Inst Hosp, Dept Gastroenterol, Tokyo 1358550, Japan

[14] Tohoku Univ, Grad Sch Med, Dept Neurosurg, Sendai, Miyagi 9808577, Japan

[15] Univ Tokyo, Dept Biol Sci, Tokyo 1130033, Japan

[16] Kochi Univ, Nat Sci Cluster, Sci & Technol Unit, Kochi 7808520, Japan

[17] Japanese Fdn Canc Res, Canc Inst, Div Prot Engn, Tokyo 1358550, Japan

[18] Kyoto Univ, Dept Micro Engn, Kyoto 6068501, Japan

[19] RIKEN, Ctr Biosyst Dynam Res, Osaka 5650871, Japan

[20] Kyoto Univ, Grad Sch Informat, Kyoto 6068501, Japan

[21] Univ Tokyo, Grad Sch Med, Dept Clin Lab Med, Tokyo 1130033, Japan

[22] Columbia Univ, Dept Rehabil & Regenerat Med, Pharmacol, New York, NY 10032 USA

[23] Univ Calif Los Angeles, Dept Mech Engn, Los Angeles, CA 90095 USA

[24] Univ Calif Los Angeles, Calif NanoSyst Inst, Los Angeles, CA 90095 USA

[25] Nara Inst Sci & Technol, Grad Sch Mat Sci, Ikoma 6300192, Japan

[26] Univ Calif Los Angeles, Dept Elect Engn, Los Angeles, CA 90095 USA

来源：

CELL | 2018年 / 175卷 / 01期

关键词：

CHLAMYDOMONAS-REINHARDTII; FLOW-CYTOMETRY; PROTEIN; GROWTH; MICROSCOPY; MECHANISM; REVEALS; CULTURE; SYSTEM;

D O I：

10.1016/j.cell.2018.08.028

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

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 machine-intelligence technology based on a radically different architecture that realizes real-time image-based intelligent cell sorting at an unprecedented rate. This technology, which we refer to as intelligent image-activated cell sorting, integrates high-throughput cell microscopy, focusing, and sorting on a hybrid software-hardware data-management infrastructure, enabling real-time automated operation for data acquisition, data processing, decision-making, and actuation. 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. The technology is highly versatile and expected to enable machine-based scientific discovery in biological, pharmaceutical, and medical sciences.

引用

页码：266 / +

页数：24

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