1. Raman image-activated cell sorting
- Author
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Takeshi Hayakawa, Yu Hoshino, Shunnosuke Ueno, Yusuke Kasai, Hiroshi Karakawa, Minoru Oikawa, Yuki Inoue, Dino Di Carlo, Shunji Tanaka, Takanori Iino, Yuichi Kato, Yuta Suzuki, Mary Inaba, Yasuyuki Ozeki, Cheng Lei, Hiroshi Tezuka, Kotaro Hiramatsu, Takeaki Sugimura, Takashi Yamano, Yasutaka Kitahama, Kei Hiraki, Hideya Fukuzawa, Takuya Asai, Hideharu Mikami, Atsuhiro Nakagawa, Yoichiroh Hosokawa, Fumihito Arai, Misa Hase, Yusuke Yonamine, Keisuke Goda, Akihiro Isozaki, Tadataka Ota, Satoshi Matsusaka, Hirofumi Kobayashi, Takuro Ito, Yoshitaka Shirasaki, Takeichiro Sekiya, Hiroshi Watarai, Nao Nitta, Dinghuan Deng, Nobutake Suzuki, Mai Yamagishi, Tomohisa Hasunuma, Sotaro Uemura, Shinya Sakuma, Kiyotaka Shiba, Masayuki Yazawa, Masataka Kajikawa, and Keiji Numata
- Subjects
Sorting algorithm ,Computer science ,Science ,General Physics and Astronomy ,Nanotechnology ,Cell Separation ,Spectrum Analysis, Raman ,Article ,General Biochemistry, Genetics and Molecular Biology ,law.invention ,Imaging ,symbols.namesake ,law ,Microscopy ,Animals ,Humans ,lcsh:Science ,Multidisciplinary ,Lab-on-a-chip ,Sorting ,High-throughput screening ,General Chemistry ,Cell sorting ,Raman spectroscopy ,symbols ,Isolation, separation and purification ,lcsh:Q ,Intracellular ,Raman scattering - 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., Most current cell sorting methods are based on fluorescence detection with no imaging capability. Here the authors generate and use Raman image-activated cell sorting with a throughput of around 100 events per second, providing molecular images with no need for labeling.
- Published
- 2020
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