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Related Concept Videos

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been developed.

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Related Experiment Video

Updated: Jun 12, 2026

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy (oSLO) and Optical Coherence Tomography (OCT)
12:22

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy (oSLO) and Optical Coherence Tomography (OCT)

Published on: August 4, 2018

Optics-computation co-design for simplified DMD-based infrared super-resolution imaging.

Chen Shui, Ce Song, Ting Wang

    Optics Express
    |June 11, 2026
    PubMed
    Summary
    This summary is machine-generated.

    We developed a simplified infrared super-resolution imaging system using a digital micromirror device (DMD). This strategy significantly enhances image quality and detail recovery for compact, cost-effective infrared platforms.

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    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
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    Last Updated: Jun 12, 2026

    Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy (oSLO) and Optical Coherence Tomography (OCT)
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    Published on: August 4, 2018

    Patterned Photostimulation with Digital Micromirror Devices to Investigate Dendritic Integration Across Branch Points
    09:30

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    Published on: March 2, 2011

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
    06:25

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

    Published on: February 12, 2014

    Area of Science:

    • Optics and Photonics
    • Image Processing
    • Infrared Imaging Technology

    Background:

    • Digital Micromirror Device (DMD) technology offers potential for compact imaging systems.
    • Traditional infrared super-resolution imaging often involves complex optical designs.
    • Simplifying optical complexity is crucial for developing practical, cost-effective imaging platforms.

    Purpose of the Study:

    • To present a system-oriented design-and-reconstruction strategy for simplified DMD-based infrared super-resolution imaging.
    • To reduce optical complexity while maintaining or improving image quality.
    • To demonstrate the practical potential for compact infrared platforms.

    Main Methods:

    • Theory-guided design strategy to simplify projection optics.
    • Characterization of field-dependent degradation using point spread functions (PSFs).
    • Block-wise approximation for spatially variant restoration.
    • T-L (TVAL3-Lucy-Richardson) two-stage reconstruction: TV-regularized reconstruction followed by Lucy-Richardson deconvolution.

    Main Results:

    • Simulations showed average improvements of 78% in peak signal-to-noise ratio (PSNR) and 71% in structural similarity index measure (SSIM).
    • Laboratory experiments yielded gains of 58.5% in PSNR and 57.1% in SSIM, with improved resolution-bar separability.
    • Outdoor tests demonstrated practical potential for recovering fine details in long-range scenes.

    Conclusions:

    • The proposed strategy effectively enhances infrared super-resolution imaging quality using simplified optics.
    • The system offers improved image quality, reduced cost, and increased compactness for infrared platforms.
    • This approach holds practical potential for various applications requiring compact and cost-effective infrared imaging solutions.