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

Sign Test for Matched Pairs01:17

Sign Test for Matched Pairs

400
The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in...
400
Sample Handling01:02

Sample Handling

2.7K
Transportation of samples from the collection point to the laboratory, as well as storage and preservation techniques, are crucial for maintaining sample integrity and ensuring accurate and reliable test results.
Samples should be transported carefully from collection points to the laboratory. They should be properly sealed and clearly labeled to prevent cross-contamination. To preserve the sample integrity, optimal temperature conditions during transport are essential. This could involve using...
2.7K
Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

488
The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
488
Base Excision Repair01:54

Base Excision Repair

26.3K
One of the common DNA damages is the chemical alteration of single bases by alkylation, oxidation, or deamination. The altered bases cause mispairing and strand breakage during replication. This type of damage causes minimal change to the DNA double helix structure and can be repaired by the base excision repair (BER) pathways. BER corrects damaged DNA sequences by removing the damaged base and restoring the original base sequence using the complementary strand as a template.
The first step of...
26.3K
Lewis Acids and Bases02:33

Lewis Acids and Bases

48.3K
In 1923, G. N. Lewis proposed a generalized definition of acid-base behavior in which acids and bases are identified by their ability to accept or to donate a pair of electrons and form a coordinate covalent bond.
A coordinate covalent bond (or dative bond) occurs when one of the atoms in the bond provides both bonding electrons. For example, a coordinate covalent bond occurs when a water molecule combines with a hydrogen ion to form a hydronium ion. A coordinate covalent bond also results when...
48.3K
Weak Base Solutions03:21

Weak Base Solutions

25.1K
Some compounds produce hydroxide ions when dissolved by chemically reacting with water molecules. In all cases, these compounds react only partially and so are classified as weak bases. These types of compounds are also abundant in nature and important commodities in various technologies. For example, global production of the weak base ammonia is typically well over 100 metric tons annually, being widely used as an agricultural fertilizer, a raw material for chemical synthesis of other...
25.1K

You might also read

Related Articles

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

Sort by
Same author

Heterologous Expression of an Abandoned Termite Mound Fungus Gene Cluster Reveals a Protective Aldehyde-Alcohol Cycle and a Candidate Termiticidal Metabolite.

ACS synthetic biology·2026
Same author

3D Probe-Based Chemoproteomic Profiling Enables the Discovery of a Polyphenol Oxidase Catalyzing Oxidative Lactonization of Salvianolic Acid B.

Organic letters·2026
Same author

Accurate and fast monocular endoscopic depth estimation of structure-content integrated diffusion.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2025
Same author

Treatment of giant encephalocele and occipital defect in a child with neurofibromatosis type 1: illustrative case.

Journal of neurosurgery. Case lessons·2025
Same author

Utilizing shallow features and spatial context for weakly supervised intracerebral hemorrhage segmentation.

Quantitative imaging in medicine and surgery·2025
Same author

Natural products targeting the NF-κB signaling pathway:Potential therapeutic drug candidates.

Bioorganic & medicinal chemistry letters·2025

Related Experiment Video

Updated: Jan 28, 2026

Testing for Metacognitive Responding Using an Odor-based Delayed Match-to-Sample Test in Rats
08:06

Testing for Metacognitive Responding Using an Odor-based Delayed Match-to-Sample Test in Rats

Published on: June 18, 2018

7.6K

Segment-Based Disparity Refinement With Occlusion Handling for Stereo Matching.

Tingman Yan, Yangzhou Gan, Zeyang Xia

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |March 8, 2019
    PubMed
    Summary

    This study introduces a novel method to refine disparity maps by analyzing statistical significance. The approach enhances stereo matching accuracy and occlusion handling with improved efficiency.

    More Related Videos

    Deep Learning-Based Segmentation of Cryo-Electron Tomograms
    10:25

    Deep Learning-Based Segmentation of Cryo-Electron Tomograms

    Published on: November 11, 2022

    10.7K
    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
    04:48

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

    Published on: November 30, 2022

    3.4K

    Related Experiment Videos

    Last Updated: Jan 28, 2026

    Testing for Metacognitive Responding Using an Odor-based Delayed Match-to-Sample Test in Rats
    08:06

    Testing for Metacognitive Responding Using an Odor-based Delayed Match-to-Sample Test in Rats

    Published on: June 18, 2018

    7.6K
    Deep Learning-Based Segmentation of Cryo-Electron Tomograms
    10:25

    Deep Learning-Based Segmentation of Cryo-Electron Tomograms

    Published on: November 11, 2022

    10.7K
    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
    04:48

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

    Published on: November 30, 2022

    3.4K

    Area of Science:

    • Computer Vision
    • Artificial Intelligence
    • Image Processing

    Background:

    • Stereo matching algorithms generate disparity maps crucial for 3D reconstruction.
    • Winner-take-all (WTA) methods are common but can lack accuracy, especially in occluded regions.
    • Existing refinement methods often require complex correlation computations.

    Purpose of the Study:

    • To propose a disparity refinement method that directly improves WTA disparity maps.
    • To enhance stereo matching accuracy and efficiency without relying on correlation information.
    • To effectively handle occlusions in stereo image pairs.

    Main Methods:

    • Segment-based stereo matching with superpixel over-segmentation.
    • Fitting disparity planes to superpixels using an improved random sample consensus (RANSAC).
    • A two-layer optimization: global (Markov Random Field - MRF) and local (Bayesian inference and prediction) refinement.

    Main Results:

    • Accurate stereo matching demonstrated on Middlebury and KITTI datasets.
    • Faster processing speeds compared to traditional methods.
    • Effective handling of occlusions through a derived 3D neighborhood system.

    Conclusions:

    • The proposed two-layer optimization refines disparity maps effectively and efficiently.
    • The 'matching cost computation + disparity refinement' framework offers a viable solution for low-cost, accurate disparity map generation.
    • This method provides a robust approach for computer vision applications requiring precise depth information.