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Author Spotlight: Importance of Single Cell Sorting in Isolating Purified Populations of Mesenchymal Stem Cells
Published on: November 10, 2023
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High-throughput single-cell sorting by stimulated Raman-activated cell ejection.
Jing Zhang1,2, Haonan Lin1,2, Jiabao Xu3
1Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA.
Science Advances
|December 11, 2024
Summary
Stimulated Raman-activated cell ejection (S-RACE) offers high-throughput, label-free single-cell sorting. This method ejects cells based on their unique Raman signatures, advancing cell analysis and sorting applications.
Area of Science:
- Biophotonics
- Cellular Biology
- Analytical Chemistry
Background:
- Raman-activated cell sorting (RACS) offers nondestructive, label-free single-cell isolation but suffers from low throughput due to weak Raman signals.
- Coherent Raman scattering (CRS) with microfluidics enhances throughput but struggles with small cells (<3 μm) and tissue sections.
Purpose of the Study:
- To develop a high-throughput single-cell sorting technique that overcomes the limitations of existing Raman-based methods.
- To enable label-free sorting of diverse biological samples, including bacteria, fungi, and tissue sections.
Main Methods:
- Integration of stimulated Raman imaging, in situ image decomposition, and laser-induced cell ejection into a single platform (S-RACE).
- Utilized Raman signatures for guiding the ejection of live bacteria and fungi.
- Demonstrated sorting of lipid-rich *Rhodotorula glutinis* from a mixture at ~13 cells/second.
- Incorporated a closed-loop feedback circuit for real-time imaging, identification, and ejection.
Main Results:
- Achieved high-throughput single-cell sorting using stimulated Raman scattering (SRS).
- Successfully sorted specific cell types, like *Rhodotorula glutinis*, based on their Raman fingerprints.
- Verified sorting accuracy using quantitative polymerase chain reaction (qPCR).
- Demonstrated compatibility with both single cells and tissue sections.
Conclusions:
- S-RACE provides a powerful, high-throughput solution for label-free single-cell sorting.
- The technology is versatile, applicable to various cell types and tissue samples.
- Opens new avenues for applications in cell analysis, diagnostics, and research.

