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    Area of Science:

    • Optics and Photonics
    • Microscopy
    • Computational Imaging

    Background:

    • Traditional microscopy techniques face limitations in resolving complex 3D structures.
    • Holography offers potential for 3D information but requires advanced reconstruction methods.
    • Reflection tomography provides a pathway for non-invasive 3D imaging.

    Purpose of the Study:

    • To develop and validate a novel reflection tomographic microscope.
    • To implement an iterative inversion algorithm for accurate sample reconstruction.
    • To investigate the impact of multiple wavelengths on reconstruction quality.

    Main Methods:

    • Development of a reflection tomographic microscope system.
    • Recording of holograms at various incidence angles and wavelengths.
    • Application of an iterative inversion algorithm modeling wave-sample interaction.
    • Simultaneous processing of all recorded data for permittivity distribution estimation.

    Main Results:

    • Successful reconstruction of sample permittivity distribution.
    • Demonstration of significant improvement in reconstruction quality using multiple wavelengths.
    • Enhanced resolution and accuracy along the optical axis attributed to multi-wavelength approach.

    Conclusions:

    • The developed reflection tomographic microscope enables high-fidelity 3D imaging.
    • Multi-wavelength data acquisition is crucial for superior tomographic reconstruction.
    • The iterative inversion algorithm effectively processes complex holographic data for accurate material property mapping.