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    Area of Science:

    • Optical physics
    • Image reconstruction
    • Microscopy

    Background:

    • Limited-angle optical diffraction tomography (LAODT) faces challenges with artifact buildup.
    • Reconstructions of confined objects are particularly susceptible when they fit the field of view (FoV).

    Purpose of the Study:

    • To develop a data-replenishment expansion of the Gerchberg-Papoulis (GP) algorithm for LAODT.
    • To prevent artifact accumulation in reconstructions of objects within the microscope's FoV.

    Main Methods:

    • A modified GP algorithm incorporating a Fourier-based forward projector was employed.
    • One-dimensional oversampling in the axial direction minimized Fourier space regridding errors.
    • The method reconstructs objects that fit within the field of view.

    Main Results:

    • The proposed method effectively prevents artifact buildup in GP reconstructions.
    • It successfully deduces missing projection data for accurate reconstruction.
    • Verification using synthetic and experimental data confirmed the procedure's efficacy.

    Conclusions:

    • The data-replenishment expansion of the GP algorithm improves LAODT reconstructions for confined objects.
    • Axial oversampling is an efficient technique for mitigating Fourier space errors.
    • This approach enhances the reliability of LAODT for specific imaging scenarios.