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Raman image-activated cell sorting.


ABSTRACT: The advent of image-activated cell sorting and imaging-based cell picking has advanced our knowledge and exploitation of biological systems in the last decade. Unfortunately, they generally rely on fluorescent labeling for cellular phenotyping, an indirect measure of the molecular landscape in the cell, which has critical limitations. Here we demonstrate Raman image-activated cell sorting by directly probing chemically specific intracellular molecular vibrations via ultrafast multicolor stimulated Raman scattering (SRS) microscopy for cellular phenotyping. Specifically, the technology enables real-time SRS-image-based sorting of single live cells with a throughput of up to ~100 events per second without the need for fluorescent labeling. To show the broad utility of the technology, we show its applicability to diverse cell types and sizes. The technology is highly versatile and holds promise for numerous applications that are previously difficult or undesirable with fluorescence-based technologies.

SUBMITTER: Nitta N 

PROVIDER: S-EPMC7351993 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Raman image-activated cell sorting.

Nitta Nao N   Iino Takanori T   Isozaki Akihiro A   Yamagishi Mai M   Kitahama Yasutaka Y   Sakuma Shinya S   Suzuki Yuta Y   Tezuka Hiroshi H   Oikawa Minoru M   Arai Fumihito F   Asai Takuya T   Deng Dinghuan D   Fukuzawa Hideya H   Hase Misa M   Hasunuma Tomohisa T   Hayakawa Takeshi T   Hiraki Kei K   Hiramatsu Kotaro K   Hoshino Yu Y   Inaba Mary M   Inoue Yuki Y   Ito Takuro T   Kajikawa Masataka M   Karakawa Hiroshi H   Kasai Yusuke Y   Kato Yuichi Y   Kobayashi Hirofumi H   Lei Cheng C   Matsusaka Satoshi S   Mikami Hideharu H   Nakagawa Atsuhiro A   Numata Keiji K   Ota Tadataka T   Sekiya Takeichiro T   Shiba Kiyotaka K   Shirasaki Yoshitaka Y   Suzuki Nobutake N   Tanaka Shunji S   Ueno Shunnosuke S   Watarai Hiroshi H   Yamano Takashi T   Yazawa Masayuki M   Yonamine Yusuke Y   Di Carlo Dino D   Hosokawa Yoichiroh Y   Uemura Sotaro S   Sugimura Takeaki T   Ozeki Yasuyuki Y   Goda Keisuke K  

Nature communications 20200710 1


The advent of image-activated cell sorting and imaging-based cell picking has advanced our knowledge and exploitation of biological systems in the last decade. Unfortunately, they generally rely on fluorescent labeling for cellular phenotyping, an indirect measure of the molecular landscape in the cell, which has critical limitations. Here we demonstrate Raman image-activated cell sorting by directly probing chemically specific intracellular molecular vibrations via ultrafast multicolor stimulat  ...[more]

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