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Related Concept Videos

Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

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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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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.
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Related Experiment Video

Updated: Apr 27, 2026

An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects
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QSpec: online control and data analysis system for single-cell Raman spectroscopy.

Lihui Ren1, Xiaoquan Su1, Yun Wang1

  • 1Bioinformatics Group of Single-Cell Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences , Qingdao, Shandong , P.R. China.

Peerj
|July 16, 2014
PubMed
Summary

We developed QSpec, an automated system for high-throughput single-cell phenotyping using Raman spectroscopy. This system enables advanced data mining of single-cell Raman profiles to reveal cellular heterogeneity.

Keywords:
Data analysisDatabaseHigh-throughputRaman-activated cell sorting (RACS)SimulationSingle-cell

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Area of Science:

  • Biotechnology
  • Spectroscopy
  • Cell Biology

Background:

  • Single-cell phenotyping is crucial for understanding biological systems.
  • Raman-activated cell sorting (RACS) offers high-resolution analysis of individual cells, surpassing traditional methods like fluorescence-activated cell sorting (FACS).
  • High-throughput processing and intelligent data analysis are essential for leveraging Raman profiling in large-scale single-cell studies.

Purpose of the Study:

  • To establish an automated system, QSpec, for high-throughput single-cell phenotyping using Raman spectroscopy.
  • To create a comprehensive single-cell Raman profile database for data-mining applications.
  • To validate the system's effectiveness through simulation of single-cell phenotypes and device characteristics.

Main Methods:

  • Development of QSpec, an automated system for high-throughput Raman-based single-cell analysis.
  • Establishment of a single-cell Raman profile database.
  • Implementation of a simulation sub-system to test control and data analysis capabilities.

Main Results:

  • QSpec successfully supports high-throughput Raman-based single-cell phenotyping.
  • The developed database facilitates data mining for discovering single-cell heterogeneity.
  • The simulation sub-system confirmed the system's effectiveness in controlling processes and analyzing data.

Conclusions:

  • QSpec provides a powerful, automated solution for high-throughput single-cell phenotyping via Raman spectroscopy.
  • The system and its associated database enable the discovery of cellular heterogeneity through advanced data analysis.
  • This approach enhances the utility of Raman profiling for detailed biological investigations at the single-cell level.