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Title: Intelligent Image-Activated Cell Sorting
Authors: Nitta, Nao
Sugimura, Takeaki
Isozaki, Akihiro
Mikami, Hideharu
Hiraki, Kei
Sakuma, Shinya
Iino, Takanori
Arai, Fumihito
Endo, Taichiro
Fujiwaki, Yasuhiro
Fukuzawa, Hideya  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0003-0963-5662 (unconfirmed)
Hase, Misa
Hayakawa, Takeshi
Hiramatsu, Kotaro
Hoshino, Yu
Inaba, Mary
Ito, Takuro
Karakawa, Hiroshi
Kasai, Yusuke
Koizumi, Kenichi
Lee, SangWook
Lei, Cheng
Li, Ming
Maeno, Takanori
Matsusaka, Satoshi
Murakami, Daichi
Nakagawa, Atsuhiro
Oguchi, Yusuke
Oikawa, Minoru
Ota, Tadataka
Shiba, Kiyotaka
Shintaku, Hirofumi
Shirasaki, Yoshitaka
Suga, Kanako
Suzuki, Yuta
Suzuki, Nobutake
Tanaka, Yo
Tezuka, Hiroshi
Toyokawa, Chihana
Yalikun, Yaxiaer
Yamada, Makoto  kyouindb  KAKEN_id
Yamagishi, Mai
Yamano, Takashi  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-6578-8095 (unconfirmed)
Yasumoto, Atsushi
Yatomi, Yutaka
Yazawa, Masayuki
Di Carlo, Dino
Hosokawa, Yoichiroh
Uemura, Sotaro
Ozeki, Yasuyuki
Goda, Keisuke
Author's alias: 新田, 尚
杉村, 武昭
磯崎, 瑛宏
三上, 秀治
平木, 敬
佐久間, 臣耶
飯野, 敬矩
新井, 史人
遠藤, 太一郎
藤脇, 康宏
福澤, 秀哉
長谷, 美佐
早川, 健
平松, 光太郎
星野, 友
稲葉, 真理
伊藤, 卓朗
唐川, 博
笠井, 宥佑
小泉, 賢一
李, 相旭
雷, 诚
前野, 貴則
松阪, 諭
中川, 敦寛
小口, 祐伴
老川, 稔
太田, 忠孝
芝, 清隆
新宅, 博文
白崎, 善隆
菅, 加奈子
鈴木, 祐太
鈴木, 信勇
田中, 陽
手塚, 宏史
豊川, 知華
山田, 誠
山岸, 舞
山野, 隆志
安本, 篤史
矢冨, 裕
矢澤, 真幸
細川, 陽一郎
上村, 想太郎
小関, 泰之
合田, 圭介
Keywords: image-activated cell sortin
ghigh-throughput microscopy
high-throughput screening
deep learning
convolutional neural network
cellular heterogeneity
machine intelligence
cellular morphology
Issue Date: 20-Sep-2018
Publisher: Elsevier BV
Journal title: Cell
Volume: 175
Issue: 1
Start page: 266
End page: 276.e13
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 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.
Description: 世界初のIntelligent Image-Activated Cell Sorterを開発 --細胞画像の深層学習により高速細胞選抜を実現--. 京都大学プレスリリース. 2018-09-05.
Rights: © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
The full-text file will be made open to the public on 20 September 2019 in accordance with publisher's 'Terms and Conditions for Self-Archiving'.
This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。
URI: http://hdl.handle.net/2433/235563
DOI(Published Version): 10.1016/j.cell.2018.08.028
PubMed ID: 30166209
Related Link: http://www.kyoto-u.ac.jp/ja/research/research_results/2018/180828_1.html
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