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Raman Spectroscopy Instrumentation: Overview

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: May 21, 2025

Real-Time, Two-Color Stimulated Raman Scattering Imaging of Mouse Brain for Tissue Diagnosis

Real-Time, Two-Color Stimulated Raman Scattering Imaging of Mouse Brain for Tissue Diagnosis

Published on: February 1, 2022

Dual-modality SEM-Raman smart scanning for fast hyperspectral Raman micro-imaging - application to bones.

Valentin Gilet¹, Guillaume Mabilleau², Matthieu Loumaigne³

¹Université d'Angers, LARIS, UMR IRHS INRAe, 49000 Angers, France.

Biomedical Optics Express

|March 20, 2025

Summary

This summary is machine-generated.

We optimized Raman micro-imaging by replacing a slow low-SNR scan with faster scanning electron microscopy (SEM). This smart scanning technique significantly reduces acquisition time for biomedical data, preserving crucial information.

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

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

Published on: May 29, 2012

Area of Science:

Spectroscopy and Imaging
Materials Science
Biomedical Engineering

Background:

Raman micro-imaging offers detailed chemical information but suffers from long acquisition times.
Smart scanning techniques aim to reduce acquisition time by focusing on essential data.
Previous protocols combined spectral and spatial compression, with a low-SNR initial scan as a bottleneck.

Purpose of the Study:

To accelerate Raman micro-imaging by optimizing a previously proposed smart scanning protocol.
To replace the time-consuming low-signal-to-noise ratio (SNR) initial scan with a faster imaging modality.
To evaluate the impact of this modification on data quality and clinical relevance.

Main Methods:

Replaced the initial low-SNR Raman scan with scanning electron microscopy (SEM) in a two-pass imaging protocol.
Acquired and analyzed biomedical data (bone samples) using the modified protocol.
Correlated SEM data with Raman spectral information.

Main Results:

The new protocol achieved a three-fold reduction in acquisition time compared to the original method.
Reconstructed Raman spectra exhibited limited distortion.
The clinical value of extracted information from bone samples was preserved.

Conclusions:

Replacing the initial low-SNR scan with SEM is an effective strategy to accelerate Raman micro-imaging.
This optimized protocol maintains data integrity and clinical relevance.
The method shows potential for accelerating other slow spectral imaging techniques.