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    Area of Science:

    • Optics and Photonics
    • Computational Imaging

    Background:

    • Conventional multiple-plane phase retrieval methods can suffer from slow convergence or stagnation.
    • This is often due to the fixed, ordered sequence of wave propagations used in iterative algorithms.

    Purpose of the Study:

    • To develop and experimentally demonstrate a novel algorithmic technique to accelerate multiple-plane phase retrieval.
    • To enhance the convergence speed and efficiency of phase retrieval by utilizing an unordered sequence of propagations.

    Main Methods:

    • An experimental demonstration of a novel phase retrieval algorithm employing an unordered sequence of wave propagations across multiple planes.
    • Leveraging the increased diversity in amplitude changes afforded by N!(N-1)! possible propagation sequences for N planes.

    Main Results:

    • The novel technique demonstrated a significant increase in amplitude change, crucial for iterative phase retrieval.
    • Experimental results showed the method to be 2 times faster than conventional algorithms.
    • The unordered sequence approach reduced the number of required intensity patterns for the test object wave.

    Conclusions:

    • The proposed unordered sequence method effectively accelerates multiple-plane phase retrieval.
    • This technique offers a significant advantage over conventional ordered propagation sequences.
    • The method shows potential for adoption in other multiple intensity-based phase retrieval techniques.