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Related Concept Videos

Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

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The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and...
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Raman Spectroscopy Instrumentation: Overview01:26

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A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
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Related Experiment Video

Updated: Mar 22, 2026

Fluorescence-activated Cell Sorting for Purification of Plasmacytoid Dendritic Cells from the Mouse Bone Marrow
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Raman activated cell sorting.

Yizhi Song1, Huabing Yin2, Wei E Huang1

  • 1Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UK.

Current Opinion in Chemical Biology
|April 22, 2016
PubMed
Summary
This summary is machine-generated.

Raman activated cell sorting (RACS) uses single cell Raman spectra (SCRS) for label-free cell analysis. Advances in Raman spectroscopy and sorting technology promise high-throughput RACS for detailed cell characterization.

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Area of Science:

  • Biophotonics
  • Spectroscopy
  • Cell Biology

Background:

  • Single cell Raman spectra (SCRS) offer intrinsic biochemical profiles for characterizing cell states.
  • Raman activated cell sorting (RACS) leverages SCRS for label-free cell sorting based on chemical phenotypes.
  • Developing RACS faces challenges including weak Raman signals, biomarker identification, and sorting specificity.

Purpose of the Study:

  • To review the principles and recent advancements in Raman activated cell sorting (RACS).
  • To discuss the challenges and future directions for high-throughput RACS.
  • To highlight the integration of advanced Raman spectroscopy techniques with cell sorting technologies.

Main Methods:

  • Characterization of single cells using single cell Raman spectra (SCRS).
  • Application of pattern recognition methods for SCRS analysis and biomarker extraction.
  • Utilizing microfluidic devices and surface-ejection technologies for cell sorting.
  • Integration of advanced Raman spectroscopy, such as stimulated Raman scattering (SRS), for faster detection.

Main Results:

  • SCRS provide detailed biochemical and phenotypic information of single cells.
  • RACS enables label-free sorting based on cellular chemical profiles.
  • Advancements in SRS and microfluidic sorting enhance RACS speed and accuracy.
  • Raman activated cell ejection (RACE) contributes to improved sorting precision.

Conclusions:

  • RACS is a powerful tool for label-free single cell analysis and sorting.
  • Integration of SRS and microfluidic RACS is key to achieving high-throughput sorting.
  • Future developments aim to overcome current limitations and enable rapid, precise cell sorting based on biochemical fingerprints.