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Related Concept Videos

Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

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Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells
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Published on: June 30, 2018

Background-enhanced NIR-II single-pixel imaging for fluorescent localization and dynamic tracking.

Zhong Ji, Jiaqi Wei, Jingyang Xing

    Optics Letters
    |June 15, 2026
    PubMed
    Summary
    This summary is machine-generated.

    We developed a novel near-infrared-II (NIR-II) imaging system for precise fluorescent localization and dynamic tracking. This background-enhanced single-pixel system overcomes limitations of conventional methods, improving surgical navigation.

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    Area of Science:

    • Biomedical Imaging
    • Optical Engineering
    • Medical Technology

    Background:

    • Near-infrared-II (NIR-II) fluorescence imaging provides high contrast but lacks morphological context for accurate pathological localization.
    • Conventional image fusion methods using heterogeneous cameras introduce parallax and registration errors, hindering precise localization.
    • Accurate localization and dynamic tracking of fluorescent signals are crucial for advanced surgical navigation.

    Purpose of the Study:

    • To develop a novel background-enhanced single-pixel imaging system for high-fidelity NIR-II fluorescence localization and dynamic tracking.
    • To overcome the limitations of conventional fusion techniques and improve the precision of pathological localization.
    • To provide a robust solution for real-time surgical navigation by integrating fluorescence imaging with anatomical context.

    Main Methods:

    • Implemented a background-enhanced NIR-II single-pixel imaging system utilizing a shared spatial encoding strategy.
    • Employed parallel silicon and InGaAs detectors to eliminate geometric distortions between background and fluorescence images.
    • Integrated a bowl-shaped detector to enhance light collection efficiency for improved signal-to-noise ratio in dynamic scenes.

    Main Results:

    • Achieved precise fluorescent localization and dynamic tracking without additional alignment algorithms by eliminating geometric distortions.
    • Demonstrated a ~7-fold signal-to-noise ratio improvement through enhanced light collection efficiency.
    • Enabled dynamic fluorescence tracking at 10 frames per second with a 128 × 128 physical pixel resolution.

    Conclusions:

    • The proposed novel NIR-II imaging architecture enables precise localization and dynamic tracking of fluorescent signals within an anatomical background.
    • The system effectively overcomes parallax and registration errors inherent in conventional fusion methods.
    • This technology offers a promising new solution for enhanced surgical navigation and pathological localization.