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Related Concept Videos

Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

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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Related Experiment Video

Updated: Jun 4, 2026

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach
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Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach

Published on: September 26, 2019

Depth-profiling by confocal Raman microscopy (CRM): data correction by numerical techniques.

J Pablo Tomba1, Guillermo E Eliçabe, María de la Paz Miguel

  • 1Institute of Materials Science and Technology (INTEMA), National Research Council (CONICET), National University of Mar del Plata (UNMDP), Juan B. Justo 4302, (7600) Mar del Plata, Argentina. jptomba@fi.mdp.edu.ar

Applied Spectroscopy
|March 1, 2011
PubMed
Summary
This summary is machine-generated.

Confocal Raman microscopy (CRM) depth profiling data distortions can be corrected using regularized deconvolution. This method improves depth scale precision for analyzing material interfaces and polymer coatings.

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Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy
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Last Updated: Jun 4, 2026

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Published on: September 26, 2019

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

Published on: May 29, 2012

Area of Science:

  • Materials Science
  • Analytical Chemistry
  • Optical Physics

Background:

  • Confocal Raman microscopy (CRM) depth profiling with dry optics suffers from distortions like compressed depth scales.
  • These distortions arise from combined diffraction, refraction, and instrumental effects.
  • Accurate depth profiling is crucial for understanding material interfaces and properties.

Purpose of the Study:

  • To explore regularized deconvolution and depth scale rescaling for improving CRM depth profiling accuracy.
  • To evaluate these methods for correcting experimental data from polymer interfaces.
  • To assess the potential of water immersion objectives in reducing optical distortions.

Main Methods:

  • Regularized deconvolution based on a predictive depth resolution model.
  • Computer simulations of smooth and sharp material transitions.
  • Application of methods to experimental data from a polymer interface.
  • Evaluation of depth scale rescaling and water immersion objectives.

Main Results:

  • Regularized deconvolution effectively recovers lost profile features from sharp and smooth transitions.
  • Depth scale rescaling is limited to smooth transitions near the surface.
  • Water immersion objectives show potential for reducing distortions and expanding the applicability of simple rescaling.

Conclusions:

  • Regularized deconvolution is a robust method for correcting CRM depth profiling distortions.
  • Simple rescaling is useful for smooth transitions, especially with water immersion objectives.
  • These improved methods enhance the noninvasive monitoring of processes like Fickean sorption in polymers.