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Updated: Dec 22, 2025

Automated 3D Optical Coherence Tomography to Elucidate Biofilm Morphogenesis Over Large Spatial Scales
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Depth-resolved optimization of a real-time sensorless adaptive optics optical coherence tomography.

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    A new sensorless adaptive optics optical coherence tomography (AO-OCT) algorithm rapidly corrects eye aberrations for clearer retinal imaging. This technology enhances image quality without wavefront sensors, improving diagnostic capabilities.

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    Area of Science:

    • Ophthalmology and Biomedical Engineering
    • Optical Imaging and Metrology

    Background:

    • Adaptive optics optical coherence tomography (AO-OCT) provides high-resolution retinal imaging by correcting ocular aberrations.
    • Traditional AO-OCT systems often require wavefront sensors, adding complexity and cost.
    • Sensorless AO-OCT aims to achieve aberration correction without dedicated wavefront sensors.

    Purpose of the Study:

    • To develop a fast and robust sensorless AO-OCT system.
    • To optimize aberration correction for retinal imaging using a specific numerical aperture range.
    • To introduce a method for determining the maximum uniform field of view in sensorless AO-OCT.

    Main Methods:

    • Implementation of a hill-climbing algorithm for optimizing five Zernike modes.
    • Real-time merit function generation utilizing a graphics processing unit (GPU).
    • Axial tracking of the retinal layer of interest for aberration correction.
    • Development of a novel method to estimate the maximum uniform field of view.

    Main Results:

    • A fast and robust hill-climbing algorithm was successfully developed and implemented.
    • The system demonstrated effective aberration correction in AO-OCT.
    • A method for estimating the largest achievable field of view with uniform aberration correction was proposed.

    Conclusions:

    • The developed sensorless AO-OCT system offers efficient aberration correction without wavefront sensors.
    • The real-time processing and novel field-of-view estimation enhance the practicality of AO-OCT for retinal imaging.
    • This technology has the potential to improve the resolution and diagnostic capabilities in ophthalmology.