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    This study introduces a novel 3D scanning lensless diffraction imaging method. It achieves high resolution, large field of view, and background noise removal simultaneously, overcoming limitations of existing techniques.

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    Area of Science:

    • Optics and Photonics
    • Imaging Science
    • Materials Science

    Background:

    • Lensless diffraction imaging faces challenges in simultaneously achieving large field of view (FOV) and high resolution with limited data.
    • Ptychography offers high resolution but is limited by probe size, requiring extensive data and computation for large samples.
    • Multi-height measurement provides a wide FOV but is susceptible to background noise.

    Purpose of the Study:

    • To develop a lensless diffraction imaging method that overcomes the limitations of existing techniques.
    • To achieve high resolution, large FOV, and effective background noise removal concurrently.
    • To enhance data diversity and imaging efficiency for lensless diffraction imaging.

    Main Methods:

    • Proposed a novel lensless diffraction imaging method utilizing three-dimensional (3D) scanning.
    • Objects are scanned across three dimensions, not just a plane or optic axis, to gather diverse diffraction information.
    • Employed illumination without a confined aperture, expanding the imaging FOV to the sensor size and enabling background noise separation.

    Main Results:

    • The 3D scanning method successfully separated illumination background noise from the retrieved object.
    • Achieved simultaneous high resolution, high contrast, and a large FOV in the reconstructed images.
    • Demonstrated superior performance compared to multi-height measurement methods.

    Conclusions:

    • The proposed 3D scanning lensless diffraction imaging method effectively addresses the trade-offs between FOV, resolution, and data requirements.
    • This technique offers a robust solution for imaging large samples with high fidelity and reduced noise.
    • Experimental validation confirms the method's capability for simultaneous high resolution, large FOV, and background noise removal.