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Raman image-activated cell sorting for biological research applications

By 9th November 2020No Comments

The following study was conducted by Scientists from Department of Chemistry, The University of Tokyo, Tokyo, Japan; Japan Science and Technology Agency, Kawaguchi, Japan; CYBO, Tokyo, Japan; Department of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo, Japan; Kanagawa Institute of Industrial Science and Technology, Shimoimaizumi, Ebina, Kanagawa, Japan; Department of Biological Sciences, The University of Tokyo, Tokyo, Japan; Department of Micro-Nano Mechanical Science and Engineering, Nagoya University, Nagoya, Japan; Department of Creative Informatics, The University of Tokyo, Tokyo, Japan; Natural Sciences Cluster, Sciences Unit, Kochi University, Kochi, Japan; Graduate School of Biostudies, Kyoto University, Kyoto, Japan; Graduate School of Science, Technology and Innovation, Kobe University, Kobe, Japan; Engineering Biology Research Center, Kobe University, Kobe, Japan; Department of Precision Mechanics, Chuo University, Tokyo, Japan; Department of Chemical Engineering, Kyushu University, Fukuoka, Japan; Department of Clinical Research and Regional Innovation, University of Tsukuba, Ibaraki, Japan; Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan; Department of Neurosurgery, Graduate School of Medicine, Tohoku University, Sendai, Japan; Biomacromolecules Research Team, RIKEN Center for Sustainable Resource Science, Wako, Japan; Division of Protein Engineering, Cancer Institute of Japanese Foundation for Cancer Research, Tokyo, Japan; Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Department of Rehabilitation and Regenerative Medicine and Pharmacology, Columbia University, New York, USA; Research Institute for Electronic Science, Hokkaido University, Sapporo, Japan; Department of Bioengineering, University of California, Los Angeles, CA, USA; Department of Mechanical Engineering, University of California, Los Angeles, CA, USA; California NanoSystems Institute, University of California, Los Angeles, CA, USA; Division of Materials Science, Nara Institute of Science and Technology, Ikoma, Japan. Study is published in Nature Communications Journal as detailed below.

Nature Communications; Volume 11, Article Number: 3452 (2020)

Raman Image-Activated Cell Sorting


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.


Nature Communications



Nitta, N., T. Iino, et al. (2020). “Raman image-activated cell sorting.” Nature Communications 11(1): 3452.