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Related Experiment Video

Updated: Jan 19, 2026

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
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Optimization of random phase diversity for adaptive optics using an LCoS spatial light modulator.

Akira Eguchi, John Brewer, Tom D Milster

    Applied Optics
    |September 11, 2019
    PubMed
    Summary

    Random phase diversity enhances sensor-less adaptive optics (AO) by optimizing liquid-crystal-on-silicon (LCoS) systems. Design parameters like super-pixel size and image cropping are crucial for high-performance phase retrieval, confirmed by experiments.

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    Area of Science:

    • Optics and Photonics
    • Adaptive Optics Systems

    Background:

    • Phase retrieval offers a simpler alternative for sensor-less adaptive optics (AO).
    • Random phase diversity has emerged as a method for accelerating phase retrieval algorithms.

    Purpose of the Study:

    • To optimize the design of sensor-less AO systems utilizing random phase diversity with liquid-crystal-on-silicon (LCoS) spatial light modulators.
    • To investigate the impact of random phase diversity parameters on phase retrieval performance under Kolmogorov turbulence.

    Main Methods:

    • Simulated phase retrieval using a sensor-less AO system model with an LCoS modulator.
    • Investigated extrinsic phase disturbances caused by Kolmogorov turbulence.
    • Analyzed the influence of super-pixel segment size and phasorgram cropping on reconstruction quality.

    Main Results:

    • Simulation results indicate that super-pixel size on the LCoS and phasorgram cropping area are determined by Fried's parameter.
    • These parameters are critical for achieving high Strehl ratios and minimizing reconstruction iterations.
    • Experimental validation using an LCoS spatial light modulator confirmed the simulation findings.

    Conclusions:

    • Optimized design parameters for random phase diversity in sensor-less AO systems are identified.
    • The study demonstrates the effectiveness of random phase diversity for LCoS-based AO systems.
    • Findings provide practical guidelines for implementing efficient phase retrieval in AO applications.