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Related Concept Videos

Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

529
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...
529
Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

584
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...
584

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Related Experiment Video

Updated: Sep 5, 2025

Implementation of a Nonlinear Microscope Based on Stimulated Raman Scattering
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Lipid profiling using Raman and a modified support vector machine algorithm.

Mariana C Potcoava1, Gregory L Futia2, Emily A Gibson2

  • 1Department of Anatomy and Cell Biology, University of Illinois at Chicago, Chicago, Illinois, USA.

Journal of Raman Spectroscopy : JRS
|July 11, 2022
PubMed
Summary
This summary is machine-generated.

Raman spectroscopy accurately measures fatty acid and cholesterol changes in prostate cancer lipid droplets. This non-invasive technique aids in profiling cellular lipids for cancer research.

Keywords:
LNCaP cellsRaman spectroscopycholesterolfatty acidslipid dropletssupport vector machine

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Area of Science:

  • Cell Biology
  • Biochemistry
  • Spectroscopy

Background:

  • Lipid droplets are essential organelles involved in cellular lipid metabolism, composed of a phospholipid membrane and a core of triglycerides and sterol esters.
  • Fatty acids are crucial for phospholipid synthesis, signaling pathways, and energy storage via triglyceride formation.
  • Accurate, non-invasive methods for profiling and quantifying cellular lipids, particularly in cancer, are currently lacking.

Purpose of the Study:

  • To evaluate the efficacy of Raman spectroscopy as a non-invasive tool for analyzing lipid droplet composition.
  • To accurately determine changes in fatty acid and cholesterol content within prostate cancer cells.
  • To develop and validate a novel analytical method for lipid profiling in cancer biology.

Main Methods:

  • Utilized Raman micro-spectroscopy to analyze lipid droplets in prostate cancer cells.
  • Employed a modified least squares fitting (LSF) routine incorporating a support vector machine (SVM) algorithm.
  • Identified highly discriminatory wavenumbers specific to different fatty acids for precise quantification.

Main Results:

  • Demonstrated high accuracy in determining fatty acid and cholesterol composition changes in lipid droplets.
  • Successfully profiled lipid composition in prostate cancer cells treated with various fatty acids.
  • Validated the potential of the developed LSF-Raman spectroscopy method for lipid analysis.

Conclusions:

  • Raman micro-spectroscopy, enhanced by a novel LSF-SVM approach, offers a powerful non-invasive method for lipid droplet analysis.
  • This technique can accurately profile and measure fatty acids and cholesterol, crucial for understanding cancer biology.
  • The developed methodology holds significant promise for advancing non-invasive lipid profiling in cancer research.