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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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Raman Spectroscopy: Overview01:20

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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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Related Experiment Video

Updated: Jan 17, 2026

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach
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Experimental method to assess depth sensing limits of inelastic scattering measurements using spatial-offset Raman

Hugo Tavera1,2, Guillaume Sheehy1,2, Patrick Orsini3

  • 1Polytechnique Montreal, Department of Physics Engineering, Montreal, Quebec, Canada.

Journal of Biomedical Optics
|September 22, 2025
PubMed
Summary

Spatial offset Raman spectroscopy (SORS) can now predict tissue sensing depth. This advance improves subsurface biochemical detection for applications like breast cancer surgery margin assessment.

Keywords:
Raman spectroscopybiochemistrydepth-resolved imagingfluorescenceinelastic scatteringtissue optics

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Area of Science:

  • Spectroscopy
  • Biomedical Optics
  • Chemical Analysis

Background:

  • Spatial offset Raman spectroscopy (SORS) is a promising technique for subsurface biochemical analysis.
  • The relationship between spatial offset and sensing depth in SORS is not well understood, limiting clinical applications such as breast cancer surgery margin assessment.

Purpose of the Study:

  • To develop an experimental method to establish a relationship between spatial offset in SORS and sampling depth.
  • To enable detection of subsurface biochemical composition for improved clinical translation of SORS.

Main Methods:

  • Utilized a custom hyperspectral line-scanning imaging system for SORS detection.
  • Employed bilayer phantoms (PDMS/Nylon) with varying optical properties and thicknesses.
  • Developed a technique using the spectral angle mapper metric to predict sensing depth based on spatial offset.

Main Results:

  • Demonstrated detectability of an underlying Nylon layer through up to 3 mm of PDMS.
  • Showcased detection of protein-rich tissue through 3 mm of Intralipid and 2 mm of porcine fat.
  • Established correlation curves between spatial offset and probed depth based on top-layer optical properties.

Conclusions:

  • Feasibility of using bilayer phantoms to correlate spatial offset with probing depth was demonstrated.
  • The developed technique can facilitate clinical translation of SORS for tumor detection and margin assessment.