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Phase compensation algorithm based on image segmentation in dual-wavelength holographic microscopy.

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    A new image segmentation algorithm improves dual-wavelength digital holographic microscopy by accurately compensating phase errors. This enables high-quality 3D imaging of microfluidic chips with complex structures.

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    Area of Science:

    • Optical microscopy
    • Metrology
    • Microfluidics

    Background:

    • Dual-wavelength digital holographic microscopy (DW-DHM) faces phase compensation errors due to object surface roughness and structural complexity.
    • Traditional 2π phase compensation methods are insufficient for intricate samples.

    Purpose of the Study:

    • To develop an advanced phase compensation algorithm for DW-DHM that overcomes limitations of traditional methods.
    • To achieve accurate and continuous phase distribution for improved 3D imaging of microfluidic devices.

    Main Methods:

    • Proposed a phase compensation algorithm integrating image segmentation.
    • Initial 2π phase compensation followed by binarization and noise removal.
    • Region-specific re-compensation based on segmented binary images to obtain continuous phase.

    Main Results:

    • Successfully applied the algorithm to a dual-wavelength DHM system with adjustable equivalent wavelength.
    • Achieved high-quality 3D imaging of microfluidic chip channels.
    • Demonstrated effective acquisition of continuous real phase for objects with known structures.

    Conclusions:

    • The image segmentation-based phase compensation algorithm effectively enhances 3D topography accuracy in DW-DHM.
    • This method offers a novel approach for high-quality imaging in microfluidic systems.
    • Provides more reliable 3D reconstructions for complex microstructures.