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Related Experiment Video

Updated: Jan 19, 2026

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    This study introduces a compact, cost-efficient multi-exposure laser speckle contrast imaging (MELSCI) system using a multi-tap CMOS sensor. This innovation enables quantitative blood flow measurement at video frame rates, overcoming limitations of high-speed cameras.

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    Area of Science:

    • Biomedical Optics
    • Medical Imaging Technology
    • Blood Flow Measurement

    Background:

    • High frame rate cameras enable wide-field quantitative blood flow measurement using multi-exposure laser speckle contrast imaging (MELSCI).
    • Existing high-speed camera MELSCI systems are limited by high power consumption, large memory, and processing demands, resulting in bulky and expensive hardware.
    • There is a need for compact and cost-efficient MELSCI systems for broader applications.

    Purpose of the Study:

    • To develop a compact and cost-efficient MELSCI system.
    • To explore the application of a multi-tap CMOS image sensor for MELSCI.
    • To achieve quantitative blood flow measurement at moderate frame rates.

    Main Methods:

    • Utilized a multi-tap CMOS image sensor, originally designed for time-of-flight range imaging, operated in global shutter mode.
    • Programmed exposure patterns for each tap to acquire multiple images with different exposures simultaneously.
    • Simulated feasibility with high-speed camera speckle images and conducted experiments using a four-tap CMOS sensor.

    Main Results:

    • Demonstrated simultaneous acquisition of multiple images with varying exposures using the multi-tap CMOS sensor.
    • Achieved moderate frame rates (35-45 fps) for blood flow speed mapping.
    • Successfully obtained flow speed maps for moving ground glass and flowing Intralipose.

    Conclusions:

    • A multi-tap CMOS image sensor can be effectively repurposed for compact and cost-efficient MELSCI.
    • This approach overcomes the hardware limitations of traditional high-speed camera-based MELSCI systems.
    • Enables quantitative blood flow measurement at practical video frame rates.