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Spectral fusing Gabor domain optical coherence microscopy based on FPGA processing.

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    This summary is machine-generated.

    Field-programmable gate arrays (FPGAs) accelerate Gabor domain optical coherence microscopy (GD-OCM) imaging by integrating spectral Gabor fusion into acquisition hardware. This FPGA implementation significantly reduces processing time for high-resolution, depth-invariant imaging.

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    Area of Science:

    • Biomedical Optics
    • Optical Imaging
    • Microscopy

    Background:

    • High numerical aperture optics in optical coherence tomography (OCT) yield high resolution but suffer from a narrow depth of focus, limiting imaging depth.
    • Gabor domain optical coherence microscopy (GD-OCM) achieves depth-invariant high resolution by fusing in-focus regions from multiple images acquired at different focal planes.
    • Conventional GD-OCM processing is time-consuming due to in-focus extraction and fusion steps, especially compared to frequency domain OCT (FD-OCT).

    Purpose of the Study:

    • To investigate the full potential of spectral domain Gabor fusion for accelerating GD-OCM.
    • To implement the spectral domain Gabor fusion algorithm using field-programmable gate arrays (FPGAs) within the spectral acquisition hardware.
    • To reduce data transfer and processing time by performing filtering within the acquisition device.

    Main Methods:

    • Implemented spectral domain Gabor fusion algorithm on an FPGA integrated into the spectral acquisition hardware.
    • Performed GD-OCM imaging of polymeric tape samples across seven focus zones.
    • Integrated linear wavenumber calibration and spectral Gabor filtering processes into the FPGA acquisition device.

    Main Results:

    • FPGA implementation of spectral domain Gabor fusion significantly reduced processing times for linear wavenumber calibration and spectral Gabor filtering.
    • The total processing time for GD-OCM imaging was improved by approximately 35%.
    • Data transfer between the acquisition device and processing host was minimized as filtering occurred during acquisition.

    Conclusions:

    • FPGA implementation of spectral domain Gabor fusion is an effective method for accelerating GD-OCM.
    • Integrating processing into acquisition hardware offers substantial speed improvements for high-resolution, depth-invariant optical imaging.
    • This approach enhances the practical utility of GD-OCM for various applications requiring rapid, detailed subsurface imaging.