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    Area of Science:

    • Optics and Photonics
    • Biomedical Imaging
    • Environmental Science

    Background:

    • Time-resolved multispectral imaging is crucial for applications like biological tissue characterization and environmental monitoring.
    • Optical techniques such as lidar and fluorescence lifetime imaging demand subnanosecond temporal resolution over large areas.
    • Single-pixel imaging offers a low-cost, high-quality alternative for image acquisition.

    Purpose of the Study:

    • To demonstrate an adaptive time-resolved multispectral imaging scheme experimentally.
    • To leverage single-pixel imaging for enhanced temporal and spatial resolution.
    • To reduce acquisition and reconstruction times for time-resolved imaging.

    Main Methods:

    • Implementation of a time-resolved multispectral acquisition scheme.
    • Utilizing single-pixel imaging as the core imaging modality.
    • Employing an adaptive strategy to optimize data acquisition and image reconstruction.

    Main Results:

    • Successful experimental demonstration of the adaptive time-resolved multispectral imaging scheme.
    • Significant reduction in acquisition and reconstruction times compared to traditional methods.
    • Validation of the technique's capability for high-quality imaging.

    Conclusions:

    • The adaptive single-pixel imaging scheme provides an efficient method for time-resolved multispectral imaging.
    • This technique has broad applicability in biological imaging, from macroscopic to microscopic scales.
    • The developed method offers a promising low-cost solution for advanced optical imaging challenges.