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    Area of Science:

    • Optical metrology
    • Biomedical imaging
    • Digital signal processing

    Background:

    • Fringe pattern analysis is critical for full-field optical measurements, impacting accuracy and throughput.
    • Quantitative Phase Imaging (QPI) is vital for label-free, high-contrast biomedical microscopy.
    • Developing high temporal/spatial resolution techniques is essential for dynamic QPI.

    Purpose of the Study:

    • To compare the phase reconstruction accuracy of two-frame phase-shifting techniques with single-shot methods in dynamic QPI.
    • To evaluate the benefits of advanced adaptive interferogram pre-filtering algorithms when combined with phase-shifting techniques.
    • To determine the optimal fringe analysis strategy for maximizing the phase time-space-bandwidth product in QPI.

    Main Methods:

    • Application of two-frame phase-shifting techniques integrated with adaptive interferogram pre-filtering algorithms.
    • Comparative analysis of these frameworks against classical and adaptive single-shot phase reconstruction methods.
    • Experimental validation using fringe analysis in QPI of LSEC/RWPE cell lines.

    Main Results:

    • Single-shot demodulation demonstrated superior phase reconstruction accuracy compared to two-frame phase-shifting methods in low and medium signal-to-noise ratio regimes.
    • The single-shot approach provides higher temporal resolution and greater phase-information throughput.
    • Employing two-frame pre-filtering is often more advantageous than two-frame phase retrieval for fringe analysis.

    Conclusions:

    • Single-shot fringe analysis methods are recommended for dynamic QPI due to their higher accuracy and throughput, particularly in challenging noise conditions.
    • The study advocates for a paradigm shift towards single-shot methods and two-frame pre-filtering for improved QPI performance.
    • Numerical and experimental findings advance fringe analysis solutions for optical full-field measurements in bio-engineering.