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Updated: Oct 17, 2025

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Adaptive super-resolution enabled on-chip contact microscopy.

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    We developed a novel super-resolution contact imaging technique on a CMOS chip. This method achieves sub-micron resolution over a large field of view, enabling detailed cell proliferation studies.

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    Area of Science:

    • Biophotonics
    • Microscopy
    • CMOS imaging

    Background:

    • Contact imaging on CMOS chips is limited by pixel size, restricting spatial resolution.
    • Achieving high resolution over large fields of view is crucial for biological applications.

    Purpose of the Study:

    • To develop an adaptive super-resolution method for contact imaging on a CMOS chip.
    • To overcome the resolution limitations of standard contact imaging without external optics.

    Main Methods:

    • Utilized regular LED illumination for single, lower-resolution image acquisition.
    • Developed a hybrid supervised-unsupervised learning strategy to train a super-resolution network.
    • Applied the method to image cell proliferation dynamics directly on the chip.

    Main Results:

    • Achieved subcellular spatial resolution over a large field of view (∼24 mm²).
    • Enabled sub-micron spatial resolution across the entire active sensor area.
    • Successfully imaged cell proliferation dynamics in real-time.

    Conclusions:

    • Adaptive super-resolution on CMOS chips offers a powerful lens-free imaging solution.
    • The developed hybrid training strategy effectively recovers high-resolution details without ground truth.
    • This technique has significant potential for label-free, high-throughput cell analysis.