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

Glassware Calibration01:11

Glassware Calibration

2.0K
Accurate calibration of glassware, such as volumetric flasks, pipettes, and burettes, is essential to ensure accurate measurements in the analytical laboratory. Calibration helps maintain consistency across measurements and prevents errors arising from inaccurate volumes.
Volumetric flasks: Volumetric flasks are designed to prepare aqueous solutions of precise volumes accurately with a calibration line on the neck. To calibrate a volumetric flask, it is important to fill it with distilled...
2.0K
Cluster Sampling Method01:20

Cluster Sampling Method

15.6K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
15.6K

You might also read

Related Articles

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

Sort by
Same author

Organizing AI Evidence for the Clinical Reader: Reply to Koulaouzidis and Toth.

Neurogastroenterology and motility·2026
Same author

Sex steroid receptors in livestock spermatozoa: localization, function, and physiological significance.

Theriogenology·2026
Same author

Artificial Intelligence in Gastrointestinal Motility Diagnostics: A Systematic Review.

Neurogastroenterology and motility·2026
Same author

Contrasting thermophilization among forests, grasslands and alpine summits.

Nature·2026
Same author

Widespread Shrubification on European Mountain Summits.

Global change biology·2026
Same author

The Impact of New Zealand's Good Farmer Identity on Agricultural Student's Mental Health Help-Seeking Behaviours.

The Australian journal of rural health·2026
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
Same journal

RTF2Mesh: Restricted Tangent Face Based Mesh Compression With Neural Displacement Fields.

IEEE transactions on visualization and computer graphics·2026
Same journal

Practical Occluder Generation for Mobile Games.

IEEE transactions on visualization and computer graphics·2026
See all related articles

Related Experiment Video

Updated: Apr 4, 2026

Using Looming Visual Stimuli to Evaluate Mouse Vision
05:07

Using Looming Visual Stimuli to Evaluate Mouse Vision

Published on: June 13, 2019

12.5K

A Survey of Software Frameworks for Cluster-Based Large High-Resolution Displays.

Haeyong Chung, Christopher Andrews, Chris North

    IEEE Transactions on Visualization and Computer Graphics
    |September 11, 2015
    PubMed
    Summary
    This summary is machine-generated.

    Developing applications for Large High-Resolution Displays (LHRD) is complex. This survey details software frameworks and applications for cluster-based LHRD, aiding developers in choosing appropriate tools and environments.

    More Related Videos

    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
    07:12

    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

    Published on: April 11, 2025

    1.0K
    Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development
    13:01

    Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development

    Published on: April 10, 2016

    34.9K

    Related Experiment Videos

    Last Updated: Apr 4, 2026

    Using Looming Visual Stimuli to Evaluate Mouse Vision
    05:07

    Using Looming Visual Stimuli to Evaluate Mouse Vision

    Published on: June 13, 2019

    12.5K
    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
    07:12

    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

    Published on: April 11, 2025

    1.0K
    Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development
    13:01

    Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development

    Published on: April 10, 2016

    34.9K

    Area of Science:

    • Computer Science
    • Human-Computer Interaction
    • Data Visualization

    Background:

    • Large High-Resolution Displays (LHRD) offer advanced capabilities for visualizing massive datasets.
    • Developing applications for LHRD requires specialized programming paradigms distinct from traditional desktop environments.
    • A gap exists in accessible tools and methods for LHRD application development.

    Purpose of the Study:

    • To survey state-of-the-art software frameworks and applications for cluster-based LHRD.
    • To provide a taxonomy for understanding LHRD software development.
    • To guide developers and researchers in selecting and improving LHRD software solutions.

    Main Methods:

    • Literature review of existing LHRD software frameworks and applications.
    • Categorization based on a three-aspect taxonomy.
    • Analysis of development paradigms and tools.

    Main Results:

    • Identification of current software frameworks and their characteristics.
    • A structured overview of LHRD application development approaches.
    • Highlighting of areas needing further development in LHRD software.

    Conclusions:

    • Developers need guidance on selecting appropriate software tools for LHRD applications.
    • Further research is needed to address open needs in LHRD software frameworks.
    • This survey provides a foundation for future LHRD software development and research.