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Related Experiment Video

Updated: Jun 6, 2026

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
08:39

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Published on: January 28, 2019

Simple algorithm for large-grid phase reconstruction of lateral-shearing interferometry.

X Tian, M Itoh, T Yatagai

    Applied Optics
    |November 10, 2010
    PubMed
    Summary
    This summary is machine-generated.

    A new zonal approach estimates phase distribution on large grids using precise phase differences measured by a lateral-shearing interferometer. This method offers an efficient O(N(2)) algorithm for phase reconstruction, validated by simulations and experiments.

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    Last Updated: Jun 6, 2026

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    The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry

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    Area of Science:

    • Optics and Photonics
    • Computational Imaging
    • Metrology

    Background:

    • Accurate phase distribution estimation is crucial for various optical applications.
    • Large-scale phase measurements often present computational challenges.

    Purpose of the Study:

    • To introduce a simple and efficient zonal algorithm for estimating phase distribution on large grids.
    • To reduce the computational complexity of phase reconstruction.

    Main Methods:

    • Utilizing a lateral-shearing interferometer to measure phase differences in orthogonal directions.
    • Implementing a zonal approach for phase estimation.
    • Developing an algorithm with O(N(2)) computational complexity for an N x N grid.

    Main Results:

    • Demonstrated the effectiveness of the proposed zonal algorithm through computer simulations.
    • Validated the algorithm's performance with experimental results.
    • Achieved efficient phase distribution estimation on large grids.

    Conclusions:

    • The proposed zonal approach provides an effective and computationally efficient method for phase distribution estimation.
    • The algorithm is suitable for large grids, overcoming previous computational limitations.
    • The technique shows promise for practical applications in optical metrology and imaging.