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Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
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Liming Yang, Yuge Xue, Pengming Song

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    This summary is machine-generated.

    This study introduces a new lensless microscopy technique using coded ptychography and multi-angle illumination. It overcomes limitations in conventional methods to achieve high-resolution, large field-of-view imaging for diverse applications.

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    Area of Science:

    • Optics and Photonics
    • Microscopy
    • Image Reconstruction

    Background:

    • Conventional coded ptychography (CP) offers high-resolution, large field-of-view (FOV) imaging but struggles with low-frequency phase recovery.
    • This limitation hinders reconstruction fidelity by failing to convert slow-varying phase information into detectable intensity variations.

    Purpose of the Study:

    • To develop a novel lensless microscopy method integrating multi-angle illumination with coded ptychographic phase retrieval.
    • To enhance quantitative phase recovery, particularly for low-frequency components, and improve reconstruction fidelity.

    Main Methods:

    • A new platform utilizes multi-angle illumination and lateral translation of a tube lens for phase diversity measurements.
    • A coded image sensor captures diffraction patterns, with spatial modulation providing support constraints for phase recovery.
    • Incident beam angles are directly recovered, and a calibration experiment characterizes the coded layer's transmission profile to address positioning accuracy and phase unwrapping.

    Main Results:

    • The proposed approach achieves a 5.6 mm x 7.4 mm FOV with a 0.96 μm half-pitch resolution.
    • Successfully overcomes limitations in recovering low-frequency phase components and handles multiple 2π phase wraps.
    • Demonstrates quantitative phase recovery with improved fidelity.

    Conclusions:

    • The developed lensless microscopy method offers a significant advancement over conventional coded ptychography.
    • Provides large FOV, high-resolution, and quantitative on-chip imaging capabilities.
    • Suitable for point-of-care diagnostics, global health, and telemedicine applications.