Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

High-Quality <i>de novo</i> Chromosome-Level Genome Assembly of a Single <i>Bombyx mori</i> With <i>BmNPV</i> Resistance by a Combination of PacBio Long-Read Sequencing, Illumina Short-Read Sequencing, and Hi-C Sequencing.

Frontiers in genetics·2021
Same author

Mental health of new undergraduate students before and after COVID-19 in China.

Scientific reports·2021
Same author

Toll-like receptor 4-mediated enteric glia loss is critical for the development of necrotizing enterocolitis.

Science translational medicine·2021
Same author

Discovery of an Heparin-Binding Epidermal Growth Factor Domain Antibody from a Phage Library and Analysis of Its Inhibitory Effects in SKOV3 Cells.

Cancer biotherapy & radiopharmaceuticals·2021
Same author

Attributable risks of hospitalizations for urologic diseases due to heat exposure in Queensland, Australia, 1995-2016.

International journal of epidemiology·2021
Same author

Impact of NO<sub>x</sub> and NH<sub>3</sub> addition on toluene oxidation over MnO<sub>x</sub>-CeO<sub>2</sub> catalyst.

Journal of hazardous materials·2021

Related Experiment Video

Updated: May 31, 2026

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

Stroke-Based Cyclic Amplifier: Image Super-Resolution at Arbitrary Ultra-Large Scales.

Wenhao Guo, Peng Lu, Xujun Peng

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |May 28, 2026
    PubMed
    Summary

    This study introduces the Stroke-based Cyclic Amplifier (SbCA), a novel method for ultra-large image super-resolution. SbCA effectively enhances image quality by decomposing images into vector strokes, overcoming limitations of prior arbitrary-scale image super-resolution techniques.

    More Related Videos

    Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment
    07:12

    Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment

    Published on: January 6, 2026

    Super-resolution Imaging of the Bacterial Division Machinery
    08:47

    Super-resolution Imaging of the Bacterial Division Machinery

    Published on: January 21, 2013

    Related Experiment Videos

    Last Updated: May 31, 2026

    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

    Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment
    07:12

    Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment

    Published on: January 6, 2026

    Super-resolution Imaging of the Bacterial Division Machinery
    08:47

    Super-resolution Imaging of the Bacterial Division Machinery

    Published on: January 21, 2013

    Area of Science:

    • Computer Vision
    • Image Processing
    • Artificial Intelligence

    Background:

    • Arbitrary-Scale Image Super-Resolution (ASISR) methods struggle with performance degradation at high upsampling factors.
    • Existing methods often introduce blurring and artifacts when exceeding trained upsampling ranges.

    Purpose of the Study:

    • To develop a unified model for ultra-large upsampling tasks that overcomes the limitations of current ASISR methods.
    • To achieve high-fidelity image reconstruction with significantly improved visual quality.

    Main Methods:

    • Proposed the Stroke-based Cyclic Amplifier (SbCA), a unified model for ultra-large upsampling.
    • Utilized a stroke vector amplifier to decompose images into vector graphics for magnification.
    • Implemented a detail completion module for restoring missing image details.
    • Employed a cyclic strategy for iterative refinement, trained once for all sub-scales within the training range.

    Main Results:

    • SbCA effectively addresses distribution drift, eliminating artifacts, noise, and blurring.
    • The model produces high-quality, high-resolution super-resolved images.
    • Experimental results show significant outperformance over existing methods in ultra-large upsampling tasks (e.g., ×100).

    Conclusions:

    • The proposed SbCA model offers a robust solution for ultra-large image super-resolution.
    • SbCA delivers superior visual quality compared to state-of-the-art techniques.
    • The unified, single-training approach is effective across various upsampling scales.