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

7.0K
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...
7.0K
Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

13.2K
Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
13.2K

You might also read

Related Articles

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

Sort by
Same author

Anisotropic Black Phosphorus Synaptic Device for Neuromorphic Applications.

Advanced materials (Deerfield Beach, Fla.)·2016
Same author

An accurate clone-based haplotyping method by overlapping pool sequencing.

Nucleic acids research·2016
Same author

Upregulation of proangiogenic factors expression in the synovium of temporomandibular joint condylar hyperplasia.

Oral surgery, oral medicine, oral pathology and oral radiology·2016
Same author

Synthesis and Applications of π-Extended Naphthalene Diimides.

Chemical record (New York, N.Y.)·2016
Same author

Observation of the Singly Cabibbo-Suppressed Decay D^{+}→ωπ^{+} and Evidence for D^{0}→ωπ^{0}.

Physical review letters·2016
Same author

Circular RNAs: a new frontier in the study of human diseases.

Journal of medical genetics·2016

Related Experiment Video

Updated: Jun 25, 2025

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

8.5K

CrossZoom: Simultaneous Motion Deblurring and Event Super-Resolving.

Chi Zhang, Xiang Zhang, Mingyuan Lin

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |May 20, 2024
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces CrossZoom (CZ-Net), a novel neural network that bridges the resolution gap between traditional images and neuromorphic event cameras. CZ-Net enhances temporal resolution for images and spatial resolution for events, improving frame-event vision applications.

    More Related Videos

    Demonstration of a Hyperlens-integrated Microscope and Super-resolution Imaging
    10:01

    Demonstration of a Hyperlens-integrated Microscope and Super-resolution Imaging

    Published on: September 8, 2017

    7.7K
    Test Samples for Optimizing STORM Super-Resolution Microscopy
    16:52

    Test Samples for Optimizing STORM Super-Resolution Microscopy

    Published on: September 6, 2013

    31.1K

    Related Experiment Videos

    Last Updated: Jun 25, 2025

    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

    8.5K
    Demonstration of a Hyperlens-integrated Microscope and Super-resolution Imaging
    10:01

    Demonstration of a Hyperlens-integrated Microscope and Super-resolution Imaging

    Published on: September 8, 2017

    7.7K
    Test Samples for Optimizing STORM Super-Resolution Microscopy
    16:52

    Test Samples for Optimizing STORM Super-Resolution Microscopy

    Published on: September 6, 2013

    31.1K

    Area of Science:

    • Computer Vision
    • Neuromorphic Engineering
    • Machine Learning

    Background:

    • Frame-event based vision applications benefit from integrating traditional and neuromorphic event cameras.
    • Performance limitations arise from spatial and temporal resolution discrepancies between image and event data.
    • Bridging this resolution gap is crucial for advancing vision applications.

    Purpose of the Study:

    • To develop a unified neural network (CZ-Net) that jointly addresses motion deblurring in images and event super-resolution.
    • To enhance both temporal resolution for images and spatial resolution for events.
    • To improve the performance of frame-event based vision systems by overcoming modality-specific resolution limitations.

    Main Methods:

    • Introduction of CrossZoom (CZ-Net), a novel unified neural network architecture.
    • Development of a multi-scale blur-event fusion mechanism to integrate cross-modal information.
    • Implementation of attention-based adaptive enhancement and cross-interaction prediction modules.
    • Creation of a new dataset with high-resolution (HR) sharp-blurry images and corresponding HR-low-resolution (LR) event streams.

    Main Results:

    • CZ-Net effectively recovers sharp latent image sequences and corresponding HR events.
    • The multi-scale fusion architecture successfully leverages scale-variant properties for cross-enhancement.
    • Attention mechanisms and cross-interaction modules mitigate distortions in LR events and improve final output.
    • Experiments on synthetic and real-world data validate the method's effectiveness and robustness.

    Conclusions:

    • The proposed CrossZoom (CZ-Net) method successfully bridges the spatial and temporal resolution gap between image and event data.
    • CZ-Net offers a unified approach for simultaneous motion deblurring and event super-resolution.
    • The novel dataset and method contribute significantly to advancing frame-event based vision research.