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

You might also read

Related Articles

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

Sort by
Same author

Multimodal integration of radiomics, pathomics, and clinical data enhances grading of adult diffuse gliomas using machine learning.

Neuroradiology·2026
Same author

Global, regional, and national burden of schizophrenia: epidemiological trends, decomposition, joinpoint analysis, and projections to 2036 based on GBD 2021.

Frontiers in psychiatry·2026
Same author

Silver sulfide nanoparticles amplify earthworm gut denitrification and elevate N₂O emissions in subtropical forest soils under nitrogen deposition.

Ecotoxicology and environmental safety·2026
Same author

Cultural distortion risk and tourist loyalty at silk road heritage: The mediating roles of perceived value and satisfaction.

PloS one·2025
Same author

Influencing factors of sports tourism safety accidents in Tibet, China: fsQCA analysis based on the SCM.

PloS one·2025
Same author

Duramycin: Exploring the therapeutic frontier of a unique lantibiotic.

Peptides·2025

Related Experiment Video

Updated: Nov 23, 2025

Applications of Immobilization of Drosophila Tissues with Fibrin Clots for Live Imaging
08:52

Applications of Immobilization of Drosophila Tissues with Fibrin Clots for Live Imaging

Published on: December 22, 2020

3.5K

Block-wise focal stack image representation for end-to-end applications.

Kejun Wu, You Yang, Mei Yu

    Optics Express
    |December 31, 2020
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel block-wise Gaussian model to efficiently represent focal stack images (FoSIs). This approach addresses data volume challenges, improving coding, reconstruction, and rendering for extended depth of field applications.

    More Related Videos

    Author Spotlight: Image-Based Methods to Study Membrane Trafficking Events in Stomatal Lineage Cells
    11:31

    Author Spotlight: Image-Based Methods to Study Membrane Trafficking Events in Stomatal Lineage Cells

    Published on: May 12, 2023

    1.4K
    A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells
    12:49

    A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

    Published on: September 28, 2019

    13.1K

    Related Experiment Videos

    Last Updated: Nov 23, 2025

    Applications of Immobilization of Drosophila Tissues with Fibrin Clots for Live Imaging
    08:52

    Applications of Immobilization of Drosophila Tissues with Fibrin Clots for Live Imaging

    Published on: December 22, 2020

    3.5K
    Author Spotlight: Image-Based Methods to Study Membrane Trafficking Events in Stomatal Lineage Cells
    11:31

    Author Spotlight: Image-Based Methods to Study Membrane Trafficking Events in Stomatal Lineage Cells

    Published on: May 12, 2023

    1.4K
    A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells
    12:49

    A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

    Published on: September 28, 2019

    13.1K

    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Image Processing

    Background:

    • Optical imaging systems inherently have a limited depth of field (DoF) due to lens properties, resulting in partially focused images.
    • Focal stack images (FoSIs), sequences focused at different depths, offer a solution for extending DoF.
    • High data volumes associated with FoSIs hinder practical applications in computational photography and advanced imaging.

    Purpose of the Study:

    • To propose an efficient block-wise Gaussian based representation model for focal stack images (FoSIs).
    • To leverage this model for addressing challenges in coding, reconstruction, and rendering of FoSIs.
    • To enable the development of end-to-end applications utilizing extended depth of field imaging.

    Main Methods:

    • Development of a block-wise Gaussian representation model tailored for FoSI data.
    • Application of the proposed model to optimize FoSI coding and compression strategies.
    • Implementation of reconstruction and rendering algorithms based on the novel representation.

    Main Results:

    • Demonstration of the high efficiency of the proposed block-wise Gaussian representation model for FoSIs.
    • Experimental validation of superior performance in coding, reconstruction, and rendering tasks.
    • Significant reduction in data volume while preserving image quality.

    Conclusions:

    • The proposed block-wise Gaussian model effectively represents FoSIs, overcoming data size limitations.
    • This model provides a robust framework for efficient processing and application development in extended depth of field imaging.
    • The developed schemes offer superior performance for practical FoSI-based systems.