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Raman image-activated cell sorting.

Nao Nitta1,2,3, Takanori Iino4, Akihiro Isozaki1,5

  • 1Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.

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This study introduces Raman image-activated cell sorting, a novel method for cell analysis. It bypasses fluorescent labels by directly detecting molecular vibrations, enabling faster and more versatile cell phenotyping.

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Area of Science:

  • Biotechnology
  • Microscopy
  • Cell Biology

Background:

  • Image-activated cell sorting (IACS) and imaging-based cell picking have advanced biological studies.
  • Current methods often rely on fluorescent labeling, which provides indirect molecular information and has limitations.

Purpose of the Study:

  • To develop a label-free cell sorting technology using Raman spectroscopy.
  • To enable direct chemical probing of intracellular molecules for cellular phenotyping.

Main Methods:

  • Demonstration of Raman image-activated cell sorting using ultrafast multicolor stimulated Raman scattering (SRS) microscopy.
  • Real-time SRS-image-based sorting of single live cells without fluorescent labeling.

Main Results:

  • Achieved a sorting throughput of up to ~100 events per second.
  • Showcased applicability to diverse cell types and sizes, highlighting versatility.
  • Enabled direct probing of chemically specific intracellular molecular vibrations.

Conclusions:

  • Raman image-activated cell sorting offers a powerful, label-free alternative to fluorescence-based methods.
  • The technology is highly versatile and suitable for various cell types and sizes.
  • Holds promise for applications previously challenging for fluorescence-based techniques.