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Updated: Sep 11, 2025

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In situ holistic optimization method for a collinear reflection Mueller matrix imaging polarimeter.

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    Applied Optics
    |August 12, 2025
    PubMed
    Summary

    This study introduces an in situ holistic optimization for collinear reflection Mueller matrix imaging polarimeters (CRMMIP). The method enhances instrument stability by accounting for all optical elements, improving polarization measurements.

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    Area of Science:

    • Optical Engineering
    • Polarimetry
    • Imaging Science

    Background:

    • Collinear reflection Mueller matrix imaging polarimeters (CRMMIP) are crucial for analyzing polarization properties.
    • Traditional CRMMIP optimization methods often ignore non-polarization modulating elements, compromising instrument stability.
    • This leads to inaccuracies in polarization state measurements.

    Purpose of the Study:

    • To develop an in situ holistic optimization method for CRMMIP.
    • To improve the stability and accuracy of CRMMIP by accounting for all optical components.
    • To address the limitations of traditional methods that neglect non-polarization modulation elements.

    Main Methods:

    • Proposing an in situ method to determine Mueller matrices of non-polarization modulation elements (objectives, tube lenses, beam splitters).
    • Integrating these Mueller matrices into a holistic instrument matrix model with polarization state generator and analyzer models.
    • Utilizing the comprehensive model for optimizing a more stable instrument matrix.

    Main Results:

    • Simulations and experimental verification demonstrate the effectiveness of the proposed holistic optimization method.
    • The optimized CRMMIP exhibits enhanced stability compared to instruments optimized with traditional methods.
    • Quantified the impact of dichroism and retardance in non-polarization modulation elements on instrument stability.

    Conclusions:

    • The proposed in situ holistic optimization method significantly improves CRMMIP stability.
    • Accounting for the polarization characteristics of all optical elements is essential for accurate polarimetric imaging.
    • This approach provides a more robust framework for developing high-performance Mueller matrix imaging polarimeters.