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MEMS-based self-referencing cascaded line-scan camera using single-pixel detectors.

Liang Li, Yi Qi, Zi Heng Lim

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    A novel microelectromechanical systems (MEMS) cascaded line-scan camera utilizes single-pixel detectors for low-cost, high-resolution imaging. This self-referencing design enhances signal-to-noise ratio and offers flexible wavelength operation.

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    Area of Science:

    • Optics and Photonics
    • Microelectromechanical Systems (MEMS)
    • Image Sensors

    Background:

    • Traditional line-scan cameras are limited by cost and wavelength operability.
    • Single-pixel detectors offer a low-cost alternative for various spectral ranges.
    • Cascading imaging units can increase spatial resolution.

    Purpose of the Study:

    • To propose and verify a MEMS-based self-referencing cascaded line-scan camera using single-pixel detectors.
    • To demonstrate a low-cost, high-resolution imaging system.
    • To enhance signal-to-noise ratio and simplify data acquisition.

    Main Methods:

    • Integration of imaging slit, MEMS encoding mask, light concentrator, and single-pixel detector in cascaded units.
    • Utilizing Hadamard transform multiplexing detection for SNR enhancement.
    • Employing a resonantly driven MEMS encoding mask for high frame rates.

    Main Results:

    • A prototype cascaded line-scan camera with two units, each resolving 71 spatial pixels.
    • Achieved an ideal frame rate of 500 fps with potential for further increase.
    • Demonstrated a self-referencing design simplifying open-loop operation.

    Conclusions:

    • The proposed MEMS cascaded line-scan camera is a viable low-cost, high-resolution imaging solution.
    • The system offers flexibility in wavelength operation and improved SNR.
    • The self-referencing design simplifies data acquisition and enables efficient operation.