1. Automated fast computational adaptive optics for optical coherence tomography based on a stochastic parallel gradient descent algorithm

    Automated fast computational adaptive optics for optical coherence tomography based on a stochastic parallel gradient descent algorithm

    The transverse resolution of optical coherence tomography is decreased by aberrations introduced from optical components and the tested samples. In this paper, an automated fast computational aberration correction method based on a stochastic parallel gradient descent (SPGD) algorithm is proposed for aberration-corrected imaging without adopting extra adaptive optics hardware components. A virtual phase filter constructed through combination of Zernike polynomials is adopted to eliminate the wavefront aberration, and their coefficients are stochastically estimated in parallel through the optimization of the image metrics. The feasibility of the proposed method is validated by a simulated resolution target image, in which the introduced ...

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