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Updated: Jan 3, 2026

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography
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    This study introduces an adaptive algorithm for Swept-Source Optical Coherence Tomography (SS-OCT) that eliminates signal nonlinearities. This innovation enhances imaging speed and reduces artifacts without interpolation.

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    Area of Science:

    • Biomedical Imaging
    • Optical Engineering
    • Signal Processing

    Background:

    • Current Swept-Source Optical Coherence Tomography (SS-OCT) systems face challenges with input signal-dependent nonlinearities.
    • Existing methods rely on interpolation and resampling, which can introduce artifacts and limit imaging speed.
    • Mach-Zehnder Interferometer signal processing is crucial for accurate OCT data acquisition.

    Purpose of the Study:

    • To develop a real-time adaptive algorithm for optimal sampling of interferometric signals in SS-OCT.
    • To eliminate nonlinearities inherent in current SS-OCT signal processing.
    • To enhance imaging speed and reduce artifacts in SS-OCT systems.

    Main Methods:

    • A real-time functional decomposition adaptive algorithm is proposed.
    • The Kalman approach is utilized to estimate the wavenumber index parameter (k) from the Mach-Zehnder Interferometer signal.
    • An adaptive level crossing sampler generates a k-linearizing sampling clock in real-time.

    Main Results:

    • The algorithm completely eliminates input signal-dependent nonlinearities.
    • It removes the need for classical interpolation and resampling, preventing associated artifacts.
    • Imaging acquisition speed is increased by 10X.
    • The system demonstrates robustness to noise, validated by mathematical analysis and simulations.

    Conclusions:

    • The developed adaptive calibration algorithm provides an artifact-free SS-OCT realization.
    • This real-time linearization scheme significantly improves imaging performance.
    • The method offers a substantial advancement in SS-OCT technology for faster and more accurate imaging.