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Multimodal Quantitative Phase Imaging with Digital Holographic Microscopy Accurately Assesses Intestinal Inflammation and Epithelial Wound Healing
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Quantitative phase imaging by single-shot Hilbert-Huang phase microscopy.

Maciej Trusiak, Vicente Mico, Javier Garcia

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    |September 16, 2016
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    Summary

    We developed a new Hilbert-Huang transform algorithm for digital holographic microscopy. This method provides fast, accurate, single-shot quantitative phase imaging, outperforming existing techniques for biological samples.

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    Area of Science:

    • Optics and Photonics
    • Biomedical Imaging
    • Digital Holography

    Background:

    • Quantitative phase imaging (QPI) is crucial for label-free microscopy.
    • Digital holographic microscopy (DHM) offers high-resolution phase contrast imaging.
    • Existing QPI methods in DHM can be slow or require multiple measurements.

    Purpose of the Study:

    • To introduce a novel single-shot algorithm for quantitative phase imaging using DHM.
    • To enhance robustness and accuracy in phase retrieval from fringe patterns.
    • To enable fast, single-acquisition phase imaging in both on-axis and off-axis DHM configurations.

    Main Methods:

    • A single-shot Hilbert-Huang transform-based algorithm was developed.
    • Adaptive filtering and local fringe direction estimation were employed for fringe pattern analysis.
    • The algorithm was applied to digital holographic microscopy (DHM).

    Main Results:

    • The proposed method achieved robust, fast, and accurate single-shot quantitative phase imaging.
    • Defective and closed fringe patterns were effectively handled.
    • Experimental results on microbeads and red blood cells showed favorable comparison with Fourier and temporal phase shifting methods.

    Conclusions:

    • The Hilbert-Huang transform-based algorithm offers a significant advancement for single-shot QPI in DHM.
    • This technique provides a powerful tool for rapid, high-fidelity phase imaging of biological specimens.
    • The method demonstrates superior performance and adaptability for various DHM configurations.