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Related Concept Videos

Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

489
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...
489
Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

500
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...
500

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Related Experiment Video

Updated: Aug 12, 2025

Direct Comparison of Hyperspectral Stimulated Raman Scattering and Coherent Anti-Stokes Raman Scattering Microscopy for Chemical Imaging
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Rapid coherent Raman hyperspectral imaging based on delay-spectral focusing dual-comb method and deep learning

Yujia Zhang, Minjian Lu, Jiaqi Hu

    Optics Letters
    |February 1, 2023
    PubMed
    Summary

    This study introduces a dual-comb coherent Raman hyperspectral microscopy system for faster, higher-quality imaging. It combines rapid delay-spectral focusing and deep learning to overcome speed and signal-to-noise limitations in coherent anti-Stokes Raman scattering microscopy.

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    Differential Imaging of Biological Structures with Doubly-resonant Coherent Anti-stokes Raman Scattering CARS
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    Area of Science:

    • Optics and Photonics
    • Spectroscopy
    • Biomedical Imaging

    Background:

    • Coherent Raman hyperspectral imaging offers potential for sensing and medical diagnostics.
    • Current multiplex coherent anti-Stokes Raman scattering (CARS) microscopy faces limitations in spectral acquisition speed and signal-to-noise ratio (SNR), impacting imaging quality.

    Purpose of the Study:

    • To develop a rapid and high-SNR coherent Raman hyperspectral imaging system.
    • To enhance imaging quality and overcome the trade-off between speed and SNR in CARS microscopy.

    Main Methods:

    • Integration of a dual-comb coherent Raman hyperspectral microscopy imaging system.
    • Implementation of a rapid delay-spectral focusing method for enhanced spectral acquisition speed.
    • Application of deep learning models for spectral preprocessing and unsupervised feature extraction.

    Main Results:

    • Achieved a spectral acquisition speed of 36 kHz (approximately 4 frames/s) with a pixel resolution of 95x95 pixels.
    • Enabled a spectral bandwidth of at least 200 cm⁻¹.
    • Demonstrated improved spectral SNR and imaging quality through deep learning integration.

    Conclusions:

    • The developed dual-comb system significantly enhances spectral acquisition speed and imaging quality in coherent Raman microscopy.
    • The combination of rapid delay-spectral focusing and deep learning provides a robust solution for dynamic metabolism monitoring and medical diagnostics.