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

Distance Corrections01:15

Distance Corrections

169
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
169
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

667
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
667
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

548
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
548
Calibration Curves: Correlation Coefficient01:10

Calibration Curves: Correlation Coefficient

4.0K
In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the...
4.0K
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

540
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
Time differentiation is...
540
Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

3.7K
A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
3.7K

You might also read

Related Articles

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

Sort by
Same author

Thymosin β4 alleviates sepsis-associated acute kidney injury by suppressing MAPK signaling pathway.

Clinical science (London, England : 1979)·2026
Same author

Enterprise Risk Management-Based Framework for Surgical Site Infection Prevention in Gynecologic Surgery: A Multidisciplinary Implementation Study.

American journal of infection control·2026
Same author

Interpretable machine learning model for predicting kidney failure among CAKUT children in multicenter large-scale study.

NPJ digital medicine·2026
Same author

Optoretinography - Mechanisms and applications.

Handbook of clinical neurology·2026
Same author

Andrographolide attenuates microglial senescence in Alzheimer's disease mice by suppressing the STAT3 signaling.

iScience·2026
Same author

Risk factors and critical thresholds for glucocorticoid-induced ocular adverse reactions in children: implications for muscle and neuromuscular disease management.

European journal of translational myology·2026

Related Experiment Video

Updated: Nov 23, 2025

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
05:05

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

8.3K

Correcting intra-volume distortion for AO-OCT using 3D correlation based registration.

Zhenghan Li, Vimal Prabhu Pandiyan, Aiden Maloney-Bertelli

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

    This study introduces a new method to correct eye motion distortions in 3D adaptive optics optical coherence tomography (AO-OCT) imaging. The advanced 3D correlation registration significantly improves retinal structure visualization and eye movement analysis.

    More Related Videos

    Sample Drift Correction Following 4D Confocal Time-lapse Imaging
    10:04

    Sample Drift Correction Following 4D Confocal Time-lapse Imaging

    Published on: April 12, 2014

    16.8K
    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
    07:13

    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

    Published on: October 27, 2023

    1.5K

    Related Experiment Videos

    Last Updated: Nov 23, 2025

    Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
    05:05

    Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

    Published on: November 23, 2019

    8.3K
    Sample Drift Correction Following 4D Confocal Time-lapse Imaging
    10:04

    Sample Drift Correction Following 4D Confocal Time-lapse Imaging

    Published on: April 12, 2014

    16.8K
    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
    07:13

    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

    Published on: October 27, 2023

    1.5K

    Area of Science:

    • Ophthalmology
    • Biomedical Imaging
    • Optical Engineering

    Background:

    • Adaptive optics (AO) ophthalmic imagers like SLO and OCT provide high-resolution retinal imaging.
    • Fixational eye movements cause distortions in 3D AO-OCT volumes, hindering accurate retinal structure reproduction.
    • Existing registration methods struggle with residual eye motion within reference volumes.

    Purpose of the Study:

    • To introduce and validate a reference volume distortion correction method for 3D AO-OCT.
    • To improve the accuracy of retinal structure visualization and eye movement estimation in 3D AO-OCT.
    • To extend 2D intra-frame correction paradigms to 3D using correlation analyses.

    Main Methods:

    • Developed a reference volume distortion correction technique for 3D AO-OCT.
    • Utilized 3D correlation-based registration for intra-volume correction.
    • Performed frequency analysis of eye motion traces before and after correction.
    • Quantified the impact of AO-OCT acquisition speed on distortions.

    Main Results:

    • Demonstrated significant improvement in registration performance using quantitative metrics.
    • Effectively reduced periodic artifacts in eye motion estimates after intra-volume correction.
    • Showed that intra-volume distortions decrease with increased AO-OCT acquisition speed.
    • Significantly enhanced the visualization of retinal structure and the estimation of fixational eye movements.

    Conclusions:

    • Reference volume distortion correction using 3D correlation registration substantially improves 3D AO-OCT image quality.
    • The method effectively mitigates intra-volume distortions and reduces artifacts in eye motion analysis.
    • Faster AO-OCT acquisition speeds further enhance the benefits of this correction technique.