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    Area of Science:

    • Computational imaging
    • Optical resolution enhancement
    • Super-resolution microscopy

    Background:

    • Traditional optical devices are limited by their native diffraction-limited resolution.
    • Achieving higher resolution often requires specialized, expensive equipment or active illumination.
    • There is a need for accessible methods to surpass the inherent resolution limits of off-the-shelf optics.

    Purpose of the Study:

    • To present a generic computational imaging paradigm for enhancing optical resolution.
    • To demonstrate the application of this method using readily available optical devices.
    • To validate the capability of imaging beyond native optical resolution without active illumination.

    Main Methods:

    • A computational approach utilizing a spatial light modulator placed near the optical system.
    • A novel acquisition strategy combined with a robust reconstruction framework.
    • Experimental validation using a standard webcam as the off-the-shelf optical device.

    Main Results:

    • Demonstrated substantial enhancement in spatial resolution compared to the webcam's native performance.
    • Successfully imaged objects beyond the diffraction limit of the original optical system.
    • The proposed method is generic, requires no active illumination, and is adaptable to various optical setups.

    Conclusions:

    • The proposed computational paradigm effectively overcomes the resolution limitations of standard optical devices.
    • This technique offers a cost-effective and versatile solution for super-resolution imaging.
    • Future work will explore broader applications, address current limitations, and refine the methodology.