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

Stereoisomers02:32

Stereoisomers

17.4K
On the basis of mirror symmetry, stereoisomers of an organic molecule can be further classified into diastereomers and enantiomers. Diastereomers are stereoisomers that are not mirror images of each other. Substituted alkenes, such as the cis and trans isomers of 2-butene, are diastereomers, as these molecules exhibit different spatial orientations of their constituent atoms, are not mirror images of each other, and do not interconvert. Here, the interconversion is suppressed due to...
17.4K
Light Acquisition02:16

Light Acquisition

9.3K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
9.3K
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

8.0K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
8.0K
Stereoisomerism02:52

Stereoisomerism

13.8K
Isomerism in Complexes
Isomers are different chemical species that have the same chemical formula.
Transition metal complexes often exist as geometric isomers, in which the same atoms are connected through the same types of bonds but with differences in their orientation in space. Coordination complexes with two different ligands in the cis and trans positions from a ligand of interest form isomers. For example, the octahedral [Co(NH3)4Cl2]+ ion has two isomers (Figure 1) In the cis...
13.8K
Instrument Calibration01:12

Instrument Calibration

672
Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
672
Sound Intensity Level00:53

Sound Intensity Level

4.7K
Humans perceive sound by hearing. The human ear helps sound waves reach the brain, which then interprets the waves and creates the perception of hearing. The loudness of the environment in which a person is located determines whether they can distinguish between different sound sources.
The human ear can perceive an extensive range of sound intensity, necessitating the use of the logarithmic scale to define a physical quantity—the intensity level. It is a ratio of two intensities and...
4.7K

You might also read

Related Articles

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

Sort by
Same author

Waste heat promoted ammonia recovery from sludge lysate using a MES-TMCS system: thermal-electric-microbial synergies.

Water research·2026
Same author

Preparation and characterization of pre-nanoemulsions encapsulating multiple oil-soluble active substances.

Drug development and industrial pharmacy·2026
Same author

Terminal group engineering of A-DA'D-A non-fullerene acceptors as electron transport materials for efficient inverted perovskite solar cells.

RSC advances·2026
Same author

Oral Lactobacillus reuteri Combined With Intravenous Lysis-Circuit-Bearing Engineered Bacteria RE Enhances Antitumor Efficacy.

Biotechnology journal·2026
Same author

Toward healthy air quality under CMIP6 scenarios: insights into the compliance with the new WHO guidelines in China.

Frontiers in public health·2026
Same author

S100A8-associated inflammatory microenvironment is related to its cell-of-origin and potentiates BRAF inhibitor resistance in papillary craniopharyngioma.

Clinical and experimental medicine·2026

Related Experiment Video

Updated: Jan 11, 2026

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
05:12

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

2.4K

Stereo matching based on the IC-Stereo network in low-light environments.

Xurong Wang, Wenxin Hu, Jingchao Xu

    Optics Express
    |November 11, 2025
    PubMed
    Summary

    This study introduces IC-Stereo, a deep learning network for accurate stereo matching in low-light conditions. It enhances image details and integrates context with geometry for superior disparity estimation.

    Area of Science:

    • Computer Vision
    • Artificial Intelligence
    • Deep Learning

    Background:

    • Low illumination degrades image details and geometric information, challenging semantic understanding and stereo matching.
    • Existing stereo matching methods struggle with performance degradation in low-light environments.

    Purpose of the Study:

    • To develop a deep learning-based stereo matching network, IC-Stereo, for improved disparity estimation in low-light conditions.
    • To enhance stereo matching accuracy by integrating contextual and geometric information and incorporating low-light image enhancement.

    Main Methods:

    • Proposed IC-Stereo network integrating contextual and geometric information for cost aggregation.
    • Incorporated a low-light image enhancement module to restore image details.
    • Evaluated performance on synthetic and real-world low-light datasets, and public benchmark datasets.

    More Related Videos

    Stereoacuity Improvement using Random-Dot Video Games
    06:25

    Stereoacuity Improvement using Random-Dot Video Games

    Published on: January 14, 2020

    15.0K
    Comparison of Three Clinical Stereoscopic Methods for Measuring Binocular Visual Function During Amblyopic Treatment in Unilateral Amblyopia
    06:19

    Comparison of Three Clinical Stereoscopic Methods for Measuring Binocular Visual Function During Amblyopic Treatment in Unilateral Amblyopia

    Published on: September 27, 2024

    506

    Related Experiment Videos

    Last Updated: Jan 11, 2026

    Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
    05:12

    Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

    Published on: August 12, 2021

    2.4K
    Stereoacuity Improvement using Random-Dot Video Games
    06:25

    Stereoacuity Improvement using Random-Dot Video Games

    Published on: January 14, 2020

    15.0K
    Comparison of Three Clinical Stereoscopic Methods for Measuring Binocular Visual Function During Amblyopic Treatment in Unilateral Amblyopia
    06:19

    Comparison of Three Clinical Stereoscopic Methods for Measuring Binocular Visual Function During Amblyopic Treatment in Unilateral Amblyopia

    Published on: September 27, 2024

    506

    Main Results:

    • The integrated context and geometry fusion module and image enhancement module significantly improved disparity map quality.
    • IC-Stereo produced disparity maps with richer detail and smoother global structure under low-light conditions.
    • The model demonstrated high-accuracy stereo matching in challenging lighting scenarios and outperformed existing methods on benchmarks.

    Conclusions:

    • IC-Stereo effectively addresses the challenges of stereo matching in low-light environments.
    • The proposed network achieves state-of-the-art accuracy, surpassing traditional and deep learning methods.
    • The integration of image enhancement and context-geometry fusion is crucial for robust low-light stereo matching.