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Related Concept Videos

Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

587
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...
587
Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

750
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...
750

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Related Experiment Video

Updated: Oct 12, 2025

Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy
15:04

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Developing an Algorithm for Discriminating Oral Cancerous and Normal Tissues Using Raman Spectroscopy.

Mukta Sharma1, Ming-Jer Jeng1,2, Chi-Kuang Young3

  • 1Department of Electronic Engineering, Chang Gung University, Taoyuan 333, Taiwan.

Journal of Personalized Medicine
|November 27, 2021
PubMed
Summary
This summary is machine-generated.

Raman spectroscopy (RS) can accurately detect oral squamous cell carcinoma (OSCC) in surgical specimens. This technique offers a promising tool for identifying tumor-free margins during surgery.

Keywords:
PCA-LDAPLS-LDARaman spectroscopycryopreserved tissueoral cancer

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Area of Science:

  • Biomedical Engineering
  • Spectroscopy
  • Oncology

Background:

  • Oral squamous cell carcinoma (OSCC) is a prevalent malignancy requiring precise surgical resection.
  • Accurate identification of tumor margins during surgery is crucial for patient outcomes.
  • Existing methods for margin assessment can be time-consuming or lack definitive accuracy.

Purpose of the Study:

  • To evaluate the clinical potential of Raman spectroscopy (RS) for detecting OSCC in surgical resection specimens.
  • To differentiate between cancerous and healthy oral tissues using RS during surgery.
  • To assess the feasibility of developing an in vivo RS method for real-time margin assessment.

Main Methods:

  • Ex vivo Raman spectroscopy was performed on 131 cryopreserved surgical resection specimens from 67 OSCC patients.
  • Spectral data from the fingerprint region (700-1800 cm-1) were analyzed using univariate and multivariate methods.
  • Principal Component Analysis (PCA) and Partial Least Squares-Linear Discriminant Analysis (PLS-LDA) were applied for tissue differentiation.

Main Results:

  • Raman spectra revealed significantly higher nucleic acid, protein, and amino acid content in OSCC tissues compared to adjacent healthy tissues.
  • Both PCA and PLS-LDA models differentiated between tissue types.
  • The PLS-LDA model achieved 100% accuracy, sensitivity, and specificity in distinguishing OSCC from healthy tissue.

Conclusions:

  • Raman spectroscopy effectively distinguishes between OSCC and healthy oral tissues based on biochemical composition.
  • The study demonstrates the potential of RS for intraoperative margin assessment in OSCC surgery.
  • Development of an in vivo RS system could enable real-time tumor-free margin identification during surgical procedures.