Literature DB >> 29976951

High-throughput imaging flow cytometry by optofluidic time-stretch microscopy.

Cheng Lei1, Hirofumi Kobayashi2, Yi Wu2,3, Ming Li4,5, Akihiro Isozaki2, Atsushi Yasumoto6, Hideharu Mikami2, Takuro Ito7, Nao Nitta7, Takeaki Sugimura7, Makoto Yamada8, Yutaka Yatomi6, Dino Di Carlo5,9,10, Yasuyuki Ozeki11, Keisuke Goda12,13,14.   

Abstract

The ability to rapidly assay morphological and intracellular molecular variations within large heterogeneous populations of cells is essential for understanding and exploiting cellular heterogeneity. Optofluidic time-stretch microscopy is a powerful method for meeting this goal, as it enables high-throughput imaging flow cytometry for large-scale single-cell analysis of various cell types ranging from human blood to algae, enabling a unique class of biological, medical, pharmaceutical, and green energy applications. Here, we describe how to perform high-throughput imaging flow cytometry by optofluidic time-stretch microscopy. Specifically, this protocol provides step-by-step instructions on how to build an optical time-stretch microscope and a cell-focusing microfluidic device for optofluidic time-stretch microscopy, use it for high-throughput single-cell image acquisition with sub-micrometer resolution at >10,000 cells per s, conduct image construction and enhancement, perform image analysis for large-scale single-cell analysis, and use computational tools such as compressive sensing and machine learning for handling the cellular 'big data'. Assuming all components are readily available, a research team of three to four members with an intermediate level of experience with optics, electronics, microfluidics, digital signal processing, and sample preparation can complete this protocol in a time frame of 1 month.

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Year:  2018        PMID: 29976951     DOI: 10.1038/s41596-018-0008-7

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  12 in total

Review 1.  Engineering approaches to studying cancer cell migration in three-dimensional environments.

Authors:  Noam Zuela-Sopilniak; Jan Lammerding
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-07-01       Impact factor: 6.237

2.  Automated Open-Hardware Multiwell Imaging Station for Microorganisms Observation.

Authors:  Alain Gervasi; Pierre Cardol; Patrick E Meyer
Journal:  Micromachines (Basel)       Date:  2022-05-26       Impact factor: 3.523

Review 3.  Microfluidics for Peptidomics, Proteomics, and Cell Analysis.

Authors:  Rui Vitorino; Sofia Guedes; João Pinto da Costa; Václav Kašička
Journal:  Nanomaterials (Basel)       Date:  2021-04-26       Impact factor: 5.076

Review 4.  Image-Based Live Cell Sorting.

Authors:  Cody A LaBelle; Angelo Massaro; Belén Cortés-Llanos; Christopher E Sims; Nancy L Allbritton
Journal:  Trends Biotechnol       Date:  2020-11-13       Impact factor: 21.942

5.  Sequentially addressable dielectrophoretic array for high-throughput sorting of large-volume biological compartments.

Authors:  A Isozaki; Y Nakagawa; M H Loo; Y Shibata; N Tanaka; D L Setyaningrum; J-W Park; Y Shirasaki; H Mikami; D Huang; H Tsoi; C T Riche; T Ota; H Miwa; Y Kanda; T Ito; K Yamada; O Iwata; K Suzuki; S Ohnuki; Y Ohya; Y Kato; T Hasunuma; S Matsusaka; M Yamagishi; M Yazawa; S Uemura; K Nagasawa; H Watarai; D Di Carlo; K Goda
Journal:  Sci Adv       Date:  2020-05-29       Impact factor: 14.136

6.  Touchable cell biophysics property recognition platforms enable multifunctional blood smart health care.

Authors:  Longfei Chen; Yantong Liu; Hongshan Xu; Linlu Ma; Yifan Wang; Fang Wang; Jiaomeng Zhu; Xuejia Hu; Kezhen Yi; Yi Yang; Hui Shen; Fuling Zhou; Xiaoqi Gao; Yanxiang Cheng; Long Bai; Yongwei Duan; Fubing Wang; Yimin Zhu
Journal:  Microsyst Nanoeng       Date:  2021-12-08       Impact factor: 7.127

7.  Acousto-optically driven lensless single-shot ultrafast optical imaging.

Authors:  Mohamed Touil; Saïd Idlahcen; Rezki Becheker; Denis Lebrun; Claude Rozé; Ammar Hideur; Thomas Godin
Journal:  Light Sci Appl       Date:  2022-03-23       Impact factor: 17.782

8.  Cellular lensing and near infrared fluorescent nanosensor arrays to enable chemical efflux cytometry.

Authors:  Soo-Yeon Cho; Xun Gong; Volodymyr B Koman; Matthias Kuehne; Sun Jin Moon; Manki Son; Tedrick Thomas Salim Lew; Pavlo Gordiichuk; Xiaojia Jin; Hadley D Sikes; Michael S Strano
Journal:  Nat Commun       Date:  2021-05-25       Impact factor: 14.919

9.  Raman image-activated cell sorting.

Authors:  Takanori Iino; Akihiro Isozaki; Mai Yamagishi; Yasutaka Kitahama; Shinya Sakuma; Nao Nitta; 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
Journal:  Nat Commun       Date:  2020-07-10       Impact factor: 14.919

10.  Machine learning issues and opportunities in ultrafast particle classification for label-free microflow cytometry.

Authors:  Alessio Lugnan; Emmanuel Gooskens; Jeremy Vatin; Joni Dambre; Peter Bienstman
Journal:  Sci Rep       Date:  2020-11-26       Impact factor: 4.379

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