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Phase retrieval using bidirectional interference.

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    This study introduces a novel phase retrieval algorithm. It effectively reconstructs sample information using diffraction and interference patterns, even for non-sparse samples.

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    Area of Science:

    • Optics and Photonics
    • Computational Imaging

    Background:

    • Phase retrieval is crucial for reconstructing wavefronts.
    • Existing methods face challenges with non-sparse samples and short distances.

    Purpose of the Study:

    • To develop a robust phase retrieval algorithm using bidirectional interference.
    • To enable accurate reconstruction for non-sparse samples at short recording distances.

    Main Methods:

    • Utilizing diffraction patterns and phase difference from bidirectional interference.
    • Employing wave propagation and linear phase ramps for data connection.
    • Recording and processing at least three patterns (two diffraction, one interference).

    Main Results:

    • Successfully demonstrated phase retrieval for non-sparse samples.
    • Validated the algorithm's performance at short recording distances (millimeters).
    • Showcased improved results with increased pattern acquisition and processing.

    Conclusions:

    • The proposed algorithm offers a viable solution for phase retrieval challenges.
    • It provides accurate reconstruction capabilities for practical imaging scenarios.
    • Further improvements are achievable with extended data acquisition.