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

14.5K
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...
14.5K
Complementary DNA01:44

Complementary DNA

31.6K
Overview
31.6K
Feedback Inhibition00:46

Feedback Inhibition

57.1K
Biochemical reactions are occurring constantly in cells, converting starting substances to different products, usually with the help of enzymes that speed the reactions. Without enzymes, it would take far too long for most reactions to occur to be useful to the cell!
57.1K
Feedback Loops01:01

Feedback Loops

64.3K
In most cases, excessive hormone production is prevented by negative feedback—a loop that starts with a stimulus inducing the release of a particular substance, like a hormone, to maintain a certain level before triggering a signal that results in a decrease in further release of the hormone.
64.3K
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

14.4K
Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
14.4K
Fineness of Cement01:15

Fineness of Cement

509
The fineness of cement directly influences the rate of hydration, as the hydration begins at the surface of the cement particles. In addition to hydration, the fineness of cement is vital for various properties of concrete including workability, gypsum requirement, and long-term behavior. The fineness of cement is represented in terms of the specific surface of cement which is typically measured in square meters per kilogram, with several methods available for this determination.
Direct...
509

You might also read

Related Articles

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

Sort by
Same author

Single-cell RNA sequencing and cross-species analysis revealed the role of T cell-driven inflammatory responses in the pathogenesis of aortic dissection.

BMC cardiovascular disorders·2026
Same author

Proteomics-based analysis of the defense mechanisms of disease-resistant grass carp against Aeromonas veronii.

Journal of proteomics·2026
Same author

A sensor-driven Hill-type muscle modeling framework integrating sEMG and pFMG for biceps brachii force estimation.

Journal of neural engineering·2026
Same author

The KIF6-RBP Complex Orchestrates mRNA Transport Required for Sperm Flagellar Assembly.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

1-Dodecyl-3-methylimidazolium bis(trifluoromethanesulfonyl) imide Interface Design  for Stable and Effective Perovskite Solar Cells.

ChemSusChem·2026
Same author

International Expert Consensus Statement on Chronic Endometritis: A Comprehensive Literature Review and Modified e-Delphi Study.

Reproductive medicine and biology·2026

Related Experiment Video

Updated: Jan 30, 2026

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

Super-resolution Imaging of the Bacterial Division Machinery

Published on: January 21, 2013

12.2K

Domain-Complementary Prior With Fine-Grained Feedback for Scene Text Image Super-Resolution.

Shen Zhang, Yang Li, Pengwen Dai

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

    A new network, FDNet, enhances scene text image resolution by refining features and integrating domain-specific information. This improves text recognition accuracy, especially in challenging, multi-scale scenarios.

    More Related Videos

    Super-Resolution Live Cell Imaging of Subcellular Structures
    06:50

    Super-Resolution Live Cell Imaging of Subcellular Structures

    Published on: January 13, 2021

    5.3K
    Super-resolution Imaging of Neuronal Dense-core Vesicles
    09:30

    Super-resolution Imaging of Neuronal Dense-core Vesicles

    Published on: July 2, 2014

    10.1K

    Related Experiment Videos

    Last Updated: Jan 30, 2026

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

    Super-resolution Imaging of the Bacterial Division Machinery

    Published on: January 21, 2013

    12.2K
    Super-Resolution Live Cell Imaging of Subcellular Structures
    06:50

    Super-Resolution Live Cell Imaging of Subcellular Structures

    Published on: January 13, 2021

    5.3K
    Super-resolution Imaging of Neuronal Dense-core Vesicles
    09:30

    Super-resolution Imaging of Neuronal Dense-core Vesicles

    Published on: July 2, 2014

    10.1K

    Area of Science:

    • Computer Vision
    • Image Processing
    • Artificial Intelligence

    Background:

    • Scene text image super-resolution is crucial for accurate text recognition.
    • Existing methods struggle with low-level details and suboptimal feature learning.
    • Auxiliary text features often lack sufficient information for reconstruction.

    Purpose of the Study:

    • To propose a novel network (FDNet) for high-fidelity scene text image super-resolution.
    • To enhance feature representations using fine-grained feedback and domain-complementary priors.
    • To introduce a new dataset (MDRText) for training and evaluating challenging super-resolution tasks.

    Main Methods:

    • Developed a Fine-Grained Feedback Domain-Complementary Network (FDNet).
    • Employed a fine-grained feedback mechanism to refine landmark images and enhance features.
    • Introduced a domain-trace prior interaction generator integrating domain-specific traces and text priors.
    • Created the MDRText dataset with multi-scale and diverse characteristics.

    Main Results:

    • FDNet demonstrated superior performance in scene text image super-resolution.
    • The method effectively reconstructs global structure and fine-grained text details.
    • Experiments showed improved accuracy in subsequent text recognition tasks.
    • Performance was validated on MDRText and TextZoom datasets.

    Conclusions:

    • FDNet offers a significant advancement in scene text super-resolution.
    • The proposed methods effectively address limitations of existing approaches.
    • The MDRText dataset facilitates research in challenging text image tasks.