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High-resolution Fiber-optic Microendoscopy for in situ Cellular Imaging
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Block-based compressed sensing for fast optic fiber bundle imaging with high spatial resolution.

Zhixiang Jiang, Xing Zhao, Ya Wen

    Optics Express
    |June 29, 2023
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel block-based compressed sensing method for high-resolution optic fiber bundle imaging. The new approach significantly reduces sampling and reconstruction time, enabling faster and more efficient imaging.

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    Area of Science:

    • Optics and Photonics
    • Biomedical Imaging
    • Signal Processing

    Background:

    • Traditional fiber bundle imaging resolution is limited by fiber core density and diameter.
    • Existing compressed sensing methods for fiber imaging suffer from excessive sampling and long reconstruction times.

    Purpose of the Study:

    • To present a novel block-based compressed sensing scheme for high-resolution optic fiber bundle imaging.
    • To overcome the limitations of current compressed sensing techniques in terms of sampling and reconstruction speed.

    Main Methods:

    • Segmenting the target image into small blocks, each corresponding to a fiber core's projection area.
    • Independent and simultaneous sampling of block images transmitted through fiber cores.
    • Utilizing a two-dimensional detector to record intensities.

    Main Results:

    • The proposed method significantly reduces sampling patterns and numbers, decreasing reconstruction complexity and time.
    • Simulations show the method is 23 times faster than current techniques for a 128x128 pixel image, with only 0.39% sampling.
    • Experimental results confirm effectiveness for large images, with sampling numbers independent of image size.

    Conclusions:

    • The block-based compressed sensing scheme offers a fast and efficient solution for high-resolution optic fiber bundle imaging.
    • This method has the potential to advance real-time imaging capabilities in fiber bundle endoscopes.
    • The reduced sampling and reconstruction time make it suitable for practical, high-throughput applications.