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High-resolution Fiber-optic Microendoscopy for in situ Cellular Imaging
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Real-timing processing of fiber bundle endomicroscopy images in Python using PyFibreBundle.

Michael R Hughes

    Applied Optics
    |December 18, 2023
    PubMed
    Summary
    This summary is machine-generated.

    PyFibreBundle is an open-source Python package for processing fiber imaging bundle data. It enables fast image correction, mosaicing, and resolution enhancement for applications like endoscopic microscopy.

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    Area of Science:

    • Optical imaging
    • Image processing
    • Scientific software development

    Background:

    • Fiber imaging bundles are crucial for transmitting images through narrow, flexible conduits, with applications expanding from medical endoscopy to endoscopic microscopy.
    • Efficient processing of images from these bundles is essential for extracting high-quality data in emerging techniques.

    Purpose of the Study:

    • To introduce PyFibreBundle, an open-source Python package designed for rapid processing of images acquired via fiber imaging bundles.
    • To detail the technical implementation of PyFibreBundle and showcase its capabilities across various endomicroscopy systems.

    Main Methods:

    • Developed PyFibreBundle, an open-source Python package for image processing.
    • Implemented core pattern detection and removal (filtering/interpolation), background/flat-field corrections.
    • Enabled image mosaicing and multi-frame resolution enhancement.

    Main Results:

    • PyFibreBundle achieves state-of-the-art performance for an open-source package.
    • Demonstrated core removal and mosaicing exceeding 100 fps.
    • Showcased real-time multi-frame resolution enhancement and endomicroscopy processing on a Raspberry Pi.

    Conclusions:

    • PyFibreBundle offers a valuable tool for developing low-cost, high-performance fiber bundle imaging systems.
    • The package facilitates advanced image processing for diverse endomicroscopy applications.
    • Real-time processing capabilities open new avenues for portable and efficient imaging solutions.