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    This study presents an efficient Hilbert transform algorithm for reconstructing 3D images from interference microscopy data. The method significantly reduces computation time, enabling faster image reconstruction for integrated circuits.

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    Area of Science:

    • Optics and Photonics
    • Image Processing
    • Microscopy

    Background:

    • Interference microscopy is a powerful technique for high-resolution imaging.
    • Reconstructing cross-sectional or 3D images from interference microscopy data can be computationally intensive.
    • Efficient algorithms are needed to reduce processing time and improve accessibility.

    Purpose of the Study:

    • To develop an efficient algorithm for image reconstruction from interference microscope data.
    • To present the design of a Hilbert transform-based filter for this purpose.
    • To demonstrate the application of the algorithm in reconstructing images of integrated circuits.

    Main Methods:

    • An algorithm based on the Hilbert transform was designed and implemented.
    • The filter's design is presented.
    • The algorithm was applied to reconstruct cross-sectional images of an integrated circuit.

    Main Results:

    • The Hilbert transform algorithm enables efficient reconstruction of cross-sectional and 3D images.
    • Demonstrated successful reconstruction of integrated circuit images.
    • The algorithm can be implemented with low-cost hardware, drastically reducing computation time.

    Conclusions:

    • The Hilbert transform algorithm provides an efficient solution for image reconstruction in interference microscopy.
    • The method is practical due to its ease of implementation with affordable hardware.
    • This advancement facilitates faster and more accessible 3D imaging of microstructures.