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Related Concept Videos

Raman Spectroscopy Instrumentation: Overview01:26

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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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Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
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Related Experiment Video

Updated: Jun 7, 2025

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT
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High range resolution spectral-scanning LiDAR based on optical frequency-domain reflectometry.

Degangao Kong, Cheng Chen, Jiajun Wan

    Optics Letters
    |November 15, 2024
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    Summary

    This study introduces a novel spectral-scanning LiDAR using optical frequency-domain reflectometry (OFDR). This advanced LiDAR achieves superior range resolution for high-definition 3D imaging in light detection and ranging applications.

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    Area of Science:

    • Optics and Photonics
    • Remote Sensing
    • Laser Technology

    Background:

    • Spectral scanning is a robust method for solid-state beam steering in LiDAR.
    • Optical frequency-domain reflectometry (OFDR) offers high-precision measurements compatible with spectral scanning.

    Purpose of the Study:

    • To propose and demonstrate a novel spectral-scanning LiDAR system based on OFDR technology.
    • To achieve high-resolution 3D imaging by obtaining cloud point data through spectral reflectivity and group delay measurements.

    Main Methods:

    • Utilized spectral scanning with a tunable laser source and OFDR.
    • Connected measured spectral reflectivity and group delay with the dispersion equation to obtain target cloud point data.
    • Employed OFDR for high-precision spectral scanning LiDAR.

    Main Results:

    • Demonstrated successful acquisition of cloud point data for targets.
    • Achieved a tenfold improvement in range resolution compared to FMCW-based spectral-scanning LiDAR.
    • Enabled high-resolution 3D imaging with a large number of angular pixels.

    Conclusions:

    • The proposed OFDR-based spectral-scanning LiDAR system provides enhanced range resolution and high-fidelity 3D imaging capabilities.
    • This technology offers significant advantages for applications requiring precise 3D mapping and remote sensing.