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Updated: Feb 11, 2026

Multimodal Quantitative Phase Imaging with Digital Holographic Microscopy Accurately Assesses Intestinal Inflammation and Epithelial Wound Healing
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Automatic phase aberration compensation for digital holographic microscopy based on phase variation minimization.

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    We developed an automatic method to correct phase aberrations in digital holographic microscopy. This technique enhances image quality for real-time analysis of living cells without needing extra equipment.

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    Area of Science:

    • Microscopy
    • Optical Physics
    • Image Processing

    Background:

    • Digital holographic microscopy (DHM) is a powerful technique for 3D imaging.
    • Phase aberrations, however, degrade the quality of reconstructed holographic images.
    • Accurate compensation of these aberrations is crucial for reliable quantitative analysis.

    Purpose of the Study:

    • To propose a novel, fully automatic method for phase aberration compensation in DHM.
    • To address limitations of existing methods, such as the need for cell-free background regions.
    • To enable correction of both low- and high-order aberrations without additional hardware.

    Main Methods:

    • A nonlinear optimization procedure is employed to extract phase aberrations.
    • The method minimizes phase variations in the reconstructed object wave.
    • Correction is performed directly on the wrapped phase map, avoiding phase unwrapping errors.

    Main Results:

    • Numerical simulations show the proposed method is more accurate than conventional surface fitting.
    • The technique successfully corrects phase curvature and high-order aberrations.
    • Experimental results validate the method's effectiveness for real-time analysis of living cells.

    Conclusions:

    • The proposed numerical method offers an efficient and automatic solution for phase aberration compensation in DHM.
    • It improves image fidelity and quantitative accuracy in holographic microscopy.
    • This advancement facilitates advanced real-time imaging and analysis of biological samples.