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High-throughput Raman-activated cell sorting in the fingerprint region

View ORCID ProfileMatthew Lindley, View ORCID ProfileJulia Gala de Pablo, Jorgen Walker Peterson, View ORCID ProfileAkihiro Isozaki, View ORCID ProfileKotaro Hiramatsu, View ORCID ProfileKeisuke Goda
doi: https://doi.org/10.1101/2021.05.16.444384
Matthew Lindley
1Department of Chemistry, The University of Tokyo, Tokyo, Japan
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Julia Gala de Pablo
1Department of Chemistry, The University of Tokyo, Tokyo, Japan
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Jorgen Walker Peterson
1Department of Chemistry, The University of Tokyo, Tokyo, Japan
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Akihiro Isozaki
1Department of Chemistry, The University of Tokyo, Tokyo, Japan
2Kanagawa Institute of Industrial Science and Technology, Kanagawa, Japan
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Kotaro Hiramatsu
1Department of Chemistry, The University of Tokyo, Tokyo, Japan
2Kanagawa Institute of Industrial Science and Technology, Kanagawa, Japan
3Research Center for Spectrochemistry, The University of Tokyo, Tokyo, Japan
4PRESTO, Japan Science and Technology Agency, Saitama, Japan
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  • For correspondence: hiramatsu@chem.s.u-tokyo.ac.jp goda@chem.s.u-tokyo.ac.jp
Keisuke Goda
1Department of Chemistry, The University of Tokyo, Tokyo, Japan
5Institute of Technological Sciences, Wuhan University, Hubei, China
6Department of Bioengineering, University of California, Los Angeles, California, United States
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  • For correspondence: hiramatsu@chem.s.u-tokyo.ac.jp goda@chem.s.u-tokyo.ac.jp
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Abstract

Cell sorting is the workhorse of biological research and medicine. Cell sorters are commonly used to sort heterogeneous cell populations based on their intrinsic features. Raman-activated cell sorting (RACS) has recently received considerable interest by virtue of its ability to discriminate cells by their intracellular chemical content, in a label-free manner. However, broad deployment of RACS beyond lab-based demonstrations is hindered by a fundamental trade-off between throughput and measurement bandwidth (i.e., cellular information content). Here we overcome this trade-off and demonstrate broadband RACS in the fingerprint region (300 − 1,600 cm−1) with a record high throughput of ~50 cells per second. This represents a 100× throughput increase compared to previous demonstrations of broadband fingerprint-region RACS. To show the utility of our RACS, we demonstrate real-time label-free sorting of microalgal cells based on their accumulation of carotenoids and polysaccharide granules. These results hold promise for medical, biofuel, and bioplastic applications.

Competing Interest Statement

K.G. is an inventor on a pending patent related to this work filed by the Japan Patent Office (nos. PCT/JP2016/089069 and WO2017119389A1, filed on 8 January 2016). K.G. is a shareholder of CYBO and Cupido. The authors declare that they have no other competing interests.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted May 17, 2021.
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High-throughput Raman-activated cell sorting in the fingerprint region
Matthew Lindley, Julia Gala de Pablo, Jorgen Walker Peterson, Akihiro Isozaki, Kotaro Hiramatsu, Keisuke Goda
bioRxiv 2021.05.16.444384; doi: https://doi.org/10.1101/2021.05.16.444384
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High-throughput Raman-activated cell sorting in the fingerprint region
Matthew Lindley, Julia Gala de Pablo, Jorgen Walker Peterson, Akihiro Isozaki, Kotaro Hiramatsu, Keisuke Goda
bioRxiv 2021.05.16.444384; doi: https://doi.org/10.1101/2021.05.16.444384

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