Raman image-activated cell sorting

Raman image-activated cell sorting

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.

গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক: Nao Nitta, Takanori Iino, Akihiro Isozaki, Mai Yamagishi, Yasutaka Kitahama, Shinya Sakuma, Yuta Suzuki, Hiroshi Tezuka, Minoru Oikawa, Fumihito Arai, Takuya Asai, Dinghuan Deng, Hideya Fukuzawa, Misa Hase, Tomohisa Hasunuma, Takeshi Hayakawa, Kei Hiraki, Kotaro Hiramatsu, Yu Hoshino, Mary Inaba, Yuki Inoue, Takuro Ito, Masataka Kajikawa, Hiroshi Karakawa, Yusuke Kasai, Yuichi Kato, Hirofumi Kobayashi, Cheng Lei, Satoshi Matsusaka, Hideharu Mikami, Atsuhiro Nakagawa, Keiji Numata, Tadataka Ota, Takeichiro Sekiya, Kiyotaka Shiba, Yoshitaka Shirasaki, Nobutake Suzuki, Shunji Tanaka, Shunnosuke Ueno, Hiroshi Watarai, Takashi Yamano, Masayuki Yazawa, Yusuke Yonamine, Dino Di Carlo, Yoichiroh Hosokawa, Sotaro Uemura, Takeaki Sugimura, Yasuyuki Ozeki, Keisuke Goda
বিন্যাস: প্রবন্ধ
ভাষা:English
প্রকাশিত: Nature Portfolio 2020-07-01
মালা:Nature Communications
অনলাইন ব্যবহার করুন:https://doi.org/10.1038/s41467-020-17285-3

আন্তর্জাল

https://doi.org/10.1038/s41467-020-17285-3

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