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Updated: Dec 14, 2025

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
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Imaging through deep turbulence using single-shot digital holography data.

Cameron J Radosevich, Casey J Pellizzari, Samuel Horst

    Optics Express
    |July 17, 2020
    PubMed
    Summary
    This summary is machine-generated.

    The multi-plane iterative reconstruction (MIR) algorithm effectively images through deep turbulence. Two configurations of MIR performed comparably, even without prior knowledge of turbulence conditions, showing promise for tactical imaging.

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    Area of Science:

    • Optical physics
    • Wave propagation
    • Adaptive optics

    Background:

    • Deep turbulence causes distributed phase errors, degrading imaging quality.
    • Existing methods face limitations in correcting these complex aberrations.

    Purpose of the Study:

    • To validate the multi-plane iterative reconstruction (MIR) algorithm for imaging through deep turbulence.
    • To assess MIR performance with and without prior knowledge of aberration locations.

    Main Methods:

    • Experimental setup using phase plates to simulate distributed phase errors.
    • Digital holography receiver for single-shot data acquisition.
    • Implementation and testing of two MIR algorithm configurations.

    Main Results:

    • Simulated phase errors followed path-integrated Kolmogorov statistics across turbulence strengths.
    • Both MIR configurations demonstrated comparable performance in four imaging scenarios.
    • Effective correction of distributed-volume phase errors was achieved.

    Conclusions:

    • The MIR algorithm is a viable solution for imaging through deep turbulence.
    • MIR's robustness, even without prior knowledge of aberration locations, is demonstrated.
    • Results support the potential of MIR for tactical imaging applications.