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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...
Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

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 the...

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Related Experiment Video

Updated: May 21, 2026

Ultrafast Time-resolved Near-IR Stimulated Raman Measurements of Functional π-conjugate Systems
09:57

Ultrafast Time-resolved Near-IR Stimulated Raman Measurements of Functional π-conjugate Systems

Published on: February 10, 2020

A small-window moving average-based fully automated baseline estimation method for Raman spectra.

H Georg Schulze1, Rod B Foist, Kadek Okuda

  • 1Michael Smith Laboratories, The University of British Columbia, Vancouver, Canada.

Applied Spectroscopy
|June 20, 2012
PubMed
Summary
This summary is machine-generated.

A novel automated method accurately corrects baselines in vibrational spectra using iterative peak stripping and moving average windows. This technique ensures reliable spectral analysis for large datasets without prior models.

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A Multimodal Wide-Field Fourier-Transform Raman Microscope
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Last Updated: May 21, 2026

Ultrafast Time-resolved Near-IR Stimulated Raman Measurements of Functional π-conjugate Systems
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Ultrafast Time-resolved Near-IR Stimulated Raman Measurements of Functional π-conjugate Systems

Published on: February 10, 2020

A Multimodal Wide-Field Fourier-Transform Raman Microscope
06:48

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Published on: December 30, 2025

Area of Science:

  • Spectroscopy
  • Analytical Chemistry
  • Data Processing

Background:

  • Baseline drift is a common artifact in vibrational spectra.
  • Accurate baseline correction is crucial for reliable spectral analysis and interpretation.
  • Existing methods may require manual intervention or specific spectral models.

Purpose of the Study:

  • To develop a fully automated, model-free baseline correction method for vibrational spectra.
  • To provide a robust and efficient solution for processing large spectral datasets.
  • To improve the accuracy and consistency of spectral data analysis.

Main Methods:

  • Iterative application of a moving average window combined with peak stripping.
  • Utilizes a local minimum in stripped area as the primary stopping criterion.
  • Employs a secondary stopping criterion based on polynomial fitting of the first derivative for enhanced reliability.

Main Results:

  • Demonstrated good and consistent baseline correction on both simulated and real Raman spectra.
  • The automated method effectively identifies and removes baseline artifacts.
  • Achieved reliable results suitable for large-scale spectral data processing.

Conclusions:

  • The presented method is simple, easy to implement, and fully automated.
  • It offers a robust solution for baseline correction in vibrational spectroscopy.
  • Suitable for high-throughput analysis of spectral data, including Raman spectroscopy.