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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.
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Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
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Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
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Updated: Aug 22, 2025

Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy
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Comb-based multispectral LiDAR providing reflectance and distance spectra.

Yu Han, David Salido-Monzú, Andreas Wieser

    Optics Express
    |November 11, 2022
    PubMed
    Summary

    This study introduces a novel multispectral LiDAR system using a frequency comb for enhanced material analysis. It precisely measures distance and reflectance spectra, improving material classification accuracy.

    Area of Science:

    • Optics
    • Spectroscopy
    • Remote Sensing

    Background:

    • Multispectral LiDAR combines 3D geometry and material property measurements.
    • Existing systems offer mm-range resolution and reflectance estimates across limited spectral channels.

    Purpose of the Study:

    • To develop a novel multispectral LiDAR approach utilizing an ultra-broadband frequency comb.
    • To enhance remote spectroscopy by resolving relative delays and reflectance.
    • To encode detailed material information through spectrally-resolved distance and reflectance spectra.

    Main Methods:

    • Implementation of a frequency comb-based multispectral LiDAR system (580-900 nm).
    • System features 2 spectral configurations with 7 and 33 channels.
    • Differential observations to a reference object and system calibration for data transformation.

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    Main Results:

    • Achieved distance measurement precision better than 0.1 mm on most channels.
    • Demonstrated discrimination of material specimens using distance and reflectance spectra.
    • Novel distance signature significantly improved classification accuracy for inhomogeneous surfaces.

    Conclusions:

    • The frequency comb multispectral LiDAR system provides enhanced material characterization.
    • Combining distance and reflectance spectra significantly boosts material classification accuracy.
    • This approach holds potential for advanced remote sensing and material analysis.