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Coded wavefront sensing for video-rate quantitative phase imaging and tomography: validation with digital holographic

Syed Muhammad Kazim, Franziska Strasser, Mia Kvåle Løvmo

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    Coded wavefront sensing (Coded WFS) offers video-rate quantitative phase imaging and 3D refractive index tomography for biological samples. This method shows good agreement with digital holographic microscopy and integrates easily with standard microscopes.

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    Area of Science:

    • Biomedical optics
    • Microscopy
    • Quantitative phase imaging

    Background:

    • Quantitative phase imaging (QPI) is crucial for label-free biological sample analysis.
    • Digital holographic microscopy (DHM) is a common QPI technique but can be complex to integrate.
    • Coded wavefront sensing (Coded WFS) offers an alternative approach for QPI.

    Purpose of the Study:

    • To demonstrate Coded WFS for video-rate QPI and 3D refractive index (RI) tomography.
    • To compare the accuracy of Coded WFS with DHM under identical conditions.
    • To assess the potential of Coded WFS for advanced imaging applications.

    Main Methods:

    • Experimental setup for direct comparison of Coded WFS and DHM.
    • Imaging of a 3D phantom and a rotating HEK293 cell.
    • Application of standard tomographic reconstruction algorithms to Coded WFS data.

    Main Results:

    • Coded WFS demonstrated good agreement with DHM for QPI and RI measurements.
    • Coded WFS allows simple integration with standard microscopes, unlike DHM.
    • Successful application of tomographic reconstruction to Coded WFS data of a biological sample.

    Conclusions:

    • Coded WFS is a viable technique for video-rate QPI and 3D RI tomography.
    • Coded WFS offers advantages in terms of simplicity and compatibility with existing microscopy systems.
    • Coded WFS shows significant potential for future applications in biological imaging and tomography.