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Computational adaptive optics for polarization-sensitive optical coherence tomography.

Jianfeng Wang, Eric J Chaney, Edita Aksamitiene

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    Computational adaptive optics (CAO) enhances optical coherence tomography (OCT) imaging by correcting aberrations. This technique improves image quality and contrast in polarization-sensitive OCT for various biological and phantom samples.

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    Area of Science:

    • Optical Engineering
    • Biomedical Imaging
    • Ophthalmology

    Background:

    • Defocus aberration in optical coherence tomography (OCT) limits transverse resolution and depth-of-field, causing image blur.
    • Additional aberrations like astigmatism and coma further degrade image resolution and contrast in OCT systems and biological samples.

    Purpose of the Study:

    • To implement computational adaptive optics (CAO) for polarization-sensitive OCT.
    • To correct defocus and other low-order aberrations in OCT imaging.
    • To enhance image quality and contrast in polarization-sensitive OCT.

    Main Methods:

    • Applied CAO by modifying the phase of OCT data in the spatial frequency domain.
    • Utilized polarization-sensitive OCT for aberration correction.
    • Tested the technique on a 3D OCT phantom, molded plastics, ex vivo chicken breast tissue, and ex vivo human breast cancer tissue.

    Main Results:

    • Successfully corrected defocus and other low-order aberrations using CAO in polarization-sensitive OCT.
    • Achieved enhanced polarization-sensitive imaging contrast, including intensity and phase retardation.
    • Demonstrated improved image quality across various sample types.

    Conclusions:

    • CAO is effective for correcting aberrations in polarization-sensitive OCT.
    • This approach significantly enhances imaging contrast and quality for biological tissues.
    • The findings support the use of CAO for advanced biomedical imaging applications.