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Related Concept Videos

Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

527
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...
527
Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

552
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...
552

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Related Experiment Video

Updated: Sep 2, 2025

An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects
07:37

An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects

Published on: January 9, 2020

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A User-Friendly Platform for Single-Cell Raman Spectroscopy Analysis.

Ya-Juan Liu1, Michelle Kyne2, Shuang Wang3

  • 1Key Laboratory of Molecular Target & Clinical Pharmacology, and the NMPA & State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences & the Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou 511436, China.

Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy
|August 3, 2022
PubMed
Summary
This summary is machine-generated.

A new MATLAB tool, "CELL IMAGE," enhances single-cell Raman spectroscopy analysis. It offers advanced data processing and a novel subsampling method for detailed cellular insights and quantification.

Keywords:
Graphical user-friendly interfaceMachine learningMatlabSingle-cell Raman spectroscopy

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Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy
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Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy

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Area of Science:

  • Spectroscopy
  • Biophysics
  • Data Science

Background:

  • Single-cell Raman spectroscopy (SCRS) provides rich chemical and biological information.
  • Advancements in instrument speed, sensitivity, and data analysis are crucial for SCRS.
  • Existing methods require sophisticated data mining for complex spectral data.

Purpose of the Study:

  • To introduce "CELL IMAGE," a user-friendly MATLAB Graphical User-Friendly Interface (GUI).
  • To facilitate comprehensive analysis of cellular Raman spectroscopy data.
  • To integrate advanced spectral processing, pattern recognition, and model validation techniques.

Main Methods:

  • Development of the "CELL IMAGE" GUI for MATLAB.
  • Implementation of spectral processing, pattern recognition, and model validation modules.
  • Integration of a novel subsampling optimization method incorporating signal-to-noise ratio (SNR) into a binomial statistical model.

Main Results:

  • The "CELL IMAGE" GUI enables efficient analysis of cellular Raman spectroscopy data.
  • The integrated subsampling method optimizes spectral collection points for complex cell data.
  • The GUI successfully transforms spectral data into biological insights, including cell visualization, classification, and quantification.

Conclusions:

  • "CELL IMAGE" provides a powerful and accessible platform for SCRS data analysis.
  • The novel subsampling optimization enhances the accuracy and efficiency of spectral data acquisition.
  • This tool advances the application of SCRS for biological and biomedical research, including drug quantification.