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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.

Details

Title
High-throughput imaging flow cytometry by optofluidic time-stretch microscopy
Author
Cheng, Lei 1   VIAFID ORCID Logo  ; Kobayashi, Hirofumi 1 ; Wu, Yi 2 ; Li, Ming 3 ; Isozaki, Akihiro 1 ; Yasumoto, Atsushi 4 ; Mikami, Hideharu 1 ; Ito, Takuro 5 ; Nitta, Nao 5   VIAFID ORCID Logo  ; Sugimura, Takeaki 5 ; Yamada, Makoto 6 ; Yatomi, Yutaka 4 ; Dino Di Carlo 7 ; Ozeki, Yasuyuki 8 ; Goda, Keisuke 9 

 Department of Chemistry, The University of Tokyo, Tokyo, Japan 
 Department of Chemistry, The University of Tokyo, Tokyo, Japan; Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA 
 Department of Electrical Engineering, University of California, Los Angeles, Los Angeles, CA, USA; Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA 
 Department of Clinical Laboratory Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan 
 Japan Science and Technology Agency, Kawaguchi, Japan 
 Centre for Advanced Intelligence Project, RIKEN, Tokyo, Japan 
 Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA; California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA, USA; Jonsson Comprehensive Cancer Centre, University of California, Los Angeles, Los Angeles, CA, USA 
 Department of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo, Japan 
 Department of Chemistry, The University of Tokyo, Tokyo, Japan; Department of Electrical Engineering, University of California, Los Angeles, Los Angeles, CA, USA; Japan Science and Technology Agency, Kawaguchi, Japan 
Pages
1603-1631
Publication year
2018
Publication date
Jul 2018
Publisher
Nature Publishing Group
ISSN
17542189
e-ISSN
17502799
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2068339914
Copyright
Copyright Nature Publishing Group Jul 2018