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    This summary is machine-generated.

    This study introduces a faster, Fourier-domain adaptive support strategy for multiple-plane phase retrieval, improving object reconstruction accuracy and efficiency.

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    Area of Science:

    • Optics and Photonics
    • Computational Imaging
    • Image Reconstruction

    Background:

    • Single-plane phase retrieval methods often use fixed object supports, limiting reconstruction accuracy and efficiency.
    • Existing adaptive support strategies for single-plane methods are slow due to their space-domain basis.
    • Multiple-plane phase retrieval offers advantages but can be computationally intensive.

    Purpose of the Study:

    • To develop a novel, efficient adaptive object support strategy for phase retrieval.
    • To accelerate the convergence of multiple-plane phase retrieval using Fourier-domain processing.
    • To enable automated determination of object support with fewer required measurements.

    Main Methods:

    • An adaptive support strategy was developed in the Fourier domain.
    • This strategy was integrated with the multiple-plane phase retrieval method.
    • Optimizations were performed on Fourier filter size and mask threshold parameters.

    Main Results:

    • The proposed Fourier-domain adaptive support strategy demonstrated a 3× faster convergence compared to the conventional multiple-plane method.
    • Simulations and experiments validated the effectiveness of the new approach.
    • The method successfully automated object support determination and reduced the number of intensity patterns needed.

    Conclusions:

    • The Fourier-domain adaptive support strategy significantly enhances the speed and efficiency of multiple-plane phase retrieval.
    • This approach overcomes the limitations of space-domain methods and fixed supports.
    • The technique offers a practical solution for faster and more accurate object reconstruction in phase retrieval applications.