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Geometric-phase-based axicon lens for computational achromatic imaging.

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    This study uses a geometric-phase axicon lens and a post-process algorithm to correct chromatic aberration in optical imaging. This method significantly improves image reconstruction quality for broadband wavelengths.

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    Area of Science:

    • Optics and Photonics
    • Computational Imaging

    Background:

    • Conventional optical systems require complex lens assemblies to correct chromatic aberration.
    • Metasurfaces and liquid crystals (LCs) offer planar solutions but can still suffer from chromatic aberration requiring complex designs.
    • Chromatic aberration remains a challenge in advanced optical imaging systems.

    Purpose of the Study:

    • To develop a novel method for correcting chromatic aberration in optical imaging using a geometric-phase axicon lens.
    • To demonstrate the effectiveness of a post-process algorithm in conjunction with the axicon lens for image reconstruction.
    • To provide a more integrated and potentially lightweight solution for chromatic aberration correction.

    Main Methods:

    • Fabrication of a geometric-phase axicon lens using liquid crystal molecule orientation via photoalignment.
    • Utilizing the axicon lens to produce an approximately invariant point spread function (PSF) across discrete wavelengths.
    • Applying a post-process algorithm leveraging PSF information for object extraction from blurred images.

    Main Results:

    • The geometric-phase axicon lens demonstrated the ability to correct chromatic aberration across a broadband wavelength.
    • The post-process algorithm significantly improved the reconstruction quality of images.
    • The experimental results validated the effectiveness of the combined device and computational approach.

    Conclusions:

    • The proposed method effectively corrects chromatic aberration using a geometric-phase axicon lens and computational techniques.
    • This approach offers a promising direction for reducing dispersion in optical imaging systems.
    • Further development in both device design and computational imaging is expected to enhance performance.