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Related Concept Videos

Total Internal Reflection Fluorescence Microscopy01:05

Total Internal Reflection Fluorescence Microscopy

Total internal reflection fluorescence microscopy or TIRF is an advanced microscopic technique used to visualize fluorophores in samples close to a solid surface with a higher refractive index, such as a glass coverslip. TIRF only allows fluorophores in proximity to the solid surface to be excited. When light from a medium with a lower refractive index (such as air) hits the glass coverslip at a critical angle, the light undergoes total internal reflection stead of passing through the glass.

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Related Experiment Video

Updated: Jun 17, 2026

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
11:57

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Published on: May 20, 2013

Specular reflection removal for robust event-based 3D sensing.

Xingjian Liu, Zhengmao Feng, Haokai Li

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

    This study introduces a novel method to remove specular reflection interference for event cameras, enabling clearer 3D sensing. The technique effectively separates surface features from noise, improving perception of non-Lambertian surfaces.

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    Related Experiment Videos

    Last Updated: Jun 17, 2026

    Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
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    Published on: May 20, 2013

    Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
    10:28

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    Diffuse Reflectance Spectroscopy: Getting the Capillary Refill Test Under One's Thumb
    06:50

    Diffuse Reflectance Spectroscopy: Getting the Capillary Refill Test Under One's Thumb

    Published on: December 2, 2017

    Area of Science:

    • Computer Vision
    • Robotics
    • Sensor Technology

    Background:

    • Specular reflections on non-Lambertian surfaces pose significant challenges for 3D sensing.
    • Event cameras offer high dynamic range and temporal resolution but struggle with reflection-induced aliased event streams.
    • Existing methods for reflection removal are insufficient for robust event-based 3D sensing.

    Purpose of the Study:

    • To develop a hardware-software co-design method for effectively removing specular reflection interference in event-based 3D sensing.
    • To enhance the reliability and accuracy of 3D sensing in the presence of challenging surface reflections.
    • To enable robust perception of non-Lambertian surfaces using event cameras.

    Main Methods:

    • A strobed fluorescence apparatus was employed to actively modulate surface feature signals.
    • Differences in event polarity and spatio-temporal distribution were exploited to distinguish features from reflections.
    • Events were filtered based on polarity consistency and spatio-temporal characteristics within strobing periods for signal-to-noise separation.

    Main Results:

    • The proposed method effectively suppresses reflection interference, preserving surface details.
    • Signal-to-noise separation was achieved, resulting in clean encoded signals for robust 3D sensing.
    • The approach demonstrated superior performance compared to existing light denoising methods.

    Conclusions:

    • The hardware-software co-design effectively addresses specular reflection challenges in event-based 3D sensing.
    • The method enables robust and accurate 3D sensing, comparable to frame-based systems.
    • This work advances the capability of event cameras for perceiving complex surfaces.