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Phase retrieval algorithms for lensless imaging using diffractive shearing interferometry.

A P Konijnenberg, A C C de Beurs, G S M Jansen

    Journal of the Optical Society of America. A, Optics, Image Science, and Vision
    |June 17, 2020
    PubMed
    Summary
    This summary is machine-generated.

    Diffractive shearing interferometry (DSI) lensless imaging can have multiple solutions. A tighter support constraint or new algorithms, analogous to coherent diffractive imaging, eliminate these ambiguities for accurate object reconstruction.

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    Area of Science:

    • Optics and Photonics
    • Image Reconstruction
    • X-ray Imaging

    Background:

    • Diffractive shearing interferometry (DSI) is an emerging lensless imaging technique.
    • It utilizes extreme ultraviolet (EUV) radiation from high-harmonic generation (HHG).
    • Understanding solution uniqueness is crucial for reliable DSI reconstructions.

    Purpose of the Study:

    • Investigate the uniqueness of solutions in DSI.
    • Determine the necessary support constraint size for unique reconstructions.
    • Develop and evaluate a novel DSI algorithm.

    Main Methods:

    • Analysis of DSI solution space to identify ambiguities.
    • Simulation and testing of various support constraint sizes.
    • Development of a new DSI algorithm inspired by coherent diffractive imaging (CDI) methods.
    • Comparison of the new algorithm with existing DSI approaches.

    Main Results:

    • DSI solutions can exhibit ambiguities, appearing as displaced copies of the object.
    • Sufficiently tight support constraints or synthetic constraints resolve these ambiguities.
    • A new DSI algorithm, analogous to the CDI error reduction algorithm, was proposed.
    • The new algorithm demonstrates suitability for refining DSI reconstructions.

    Conclusions:

    • The uniqueness of DSI reconstructions depends on constraint enforcement.
    • Novel algorithms can enhance the accuracy and reliability of DSI.
    • This work advances DSI capabilities for lensless imaging applications.