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

Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
Three-Dimensional Microscopy in Microbiology01:28

Three-Dimensional Microscopy in Microbiology

Three-dimensional imaging techniques are essential in cell biology, allowing researchers to visualize intricate cellular structures with high resolution. Two prominent methods, Differential Interference Contrast Microscopy (DIC) and Confocal Scanning Laser Microscopy (CSLM), provide distinct advantages for imaging live and thick specimens, respectively.Differential Interference Contrast MicroscopyDIC microscopy enhances contrast in transparent, unstained samples by converting phase...
Calibration Curves: Correlation Coefficient01:10

Calibration Curves: Correlation Coefficient

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 other increases, and...
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

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...
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

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 instrumental in...

You might also read

Related Articles

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

Sort by
Same author

Water Quality Impacts of Legacy Ion-Adsorption Rare Earth Element Mining and Processing.

Environmental science & technology·2026
Same author

Myopia control efficacy of annular microstructure defocus spectacle lenses: a 1-year multicenter study.

BMC ophthalmology·2026
Same author

From mechanisms to clinical applications: Advances in 40 Hz gamma oscillation modulation for the treatment of neurological disorders.

Experimental neurology·2026
Same author

Efficient removal of AlN from secondary aluminum dross using binary fluoride: a theoretical and experimental study.

Scientific reports·2026
Same author

Patients with chronic ankle instability exhibit increased sensorimotor cortex, dorsolateral prefrontal cortex, and superior temporal gyrus activation during single-leg stance: a functional near-infrared spectroscopy study.

Frontiers in human neuroscience·2026
Same author

MMP3 overexpression enhances CAR-T cell infiltration and antitumor activity in a CAF-enriched solid tumor model.

Journal for immunotherapy of cancer·2026
Same journal

Multifunctional reconfigurable terahertz metasurface based on vanadium dioxide phase transition: achieving broadband absorption and efficient polarization conversion.

Applied optics·2026
Same journal

High-Q-factor electromagnetically induced transparency utilizing quasi-bound states in the continuum in an all-dielectric terahertz metasurface.

Applied optics·2026
Same journal

Automated stitching interferometry for high-precision metrology of X-ray mirrors.

Applied optics·2026
Same journal

Experimental demonstration of an approach to designing a metal-dielectric DBR resonant cavity structure.

Applied optics·2026
Same journal

High-precision wavefront reconstruction from a single-shot interferogram using a physics-driven hybrid feature calibration network.

Applied optics·2026
Same journal

Ultra-high-Q Fano resonance based on coupled topological corner states in Kagome photonic crystals.

Applied optics·2026
See all related articles

Related Experiment Video

Updated: May 27, 2026

Using Digital Image Correlation to Characterize Local Strains on Vascular Tissue Specimens
09:29

Using Digital Image Correlation to Characterize Local Strains on Vascular Tissue Specimens

Published on: January 24, 2016

Error evaluation technique for three-dimensional digital image correlation.

Zhenxing Hu1, Huimin Xie, Jian Lu

  • 1Applied Mechanical Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing, China.

Applied Optics
|November 24, 2011
PubMed
Summary
This summary is machine-generated.

This study presents a new method for error analysis in three-dimensional digital image correlation (3D DIC) for strain measurement. The technique evaluates reconstruction errors immediately after system setup, aiding engineering applications.

More Related Videos

A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation
09:34

A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation

Published on: September 14, 2017

Measuring Local Tissue Strains in Tendons via Open-Source Digital Image Correlation
07:50

Measuring Local Tissue Strains in Tendons via Open-Source Digital Image Correlation

Published on: January 27, 2023

Related Experiment Videos

Last Updated: May 27, 2026

Using Digital Image Correlation to Characterize Local Strains on Vascular Tissue Specimens
09:29

Using Digital Image Correlation to Characterize Local Strains on Vascular Tissue Specimens

Published on: January 24, 2016

A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation
09:34

A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation

Published on: September 14, 2017

Measuring Local Tissue Strains in Tendons via Open-Source Digital Image Correlation
07:50

Measuring Local Tissue Strains in Tendons via Open-Source Digital Image Correlation

Published on: January 27, 2023

Area of Science:

  • Engineering Mechanics
  • Experimental Mechanics
  • Optical Measurement Techniques

Background:

  • Three-dimensional digital image correlation (3D DIC) is widely used for measuring strain and deformation in engineering.
  • Comprehensive error analysis, particularly identifying dominant parameters in 3D coordinate reconstruction, remains an active research area.
  • Understanding error sources is crucial for improving the accuracy and reliability of 3D DIC measurements.

Purpose of the Study:

  • To introduce a novel technique for determining reconstruction errors in 3D DIC systems.
  • To theoretically analyze the influence of system calibration and image correlation on measurement errors.
  • To validate the proposed error evaluation procedure through numerical and experimental tests.

Main Methods:

  • Theoretical analysis of error propagation from system calibration and image correlation.
  • Numerical experiments involving one-dimensional line and two-dimensional plane reconstructions.
  • Experimental validation using standard objects and recorded speckle patterns and calibration board images.

Main Results:

  • A flexible and validated procedure for evaluating 3D DIC reconstruction errors.
  • Demonstration that the technique allows immediate error evaluation upon system setup and data acquisition.
  • Capability to determine the standard deviation of points in the world coordinate through statistical analysis.

Conclusions:

  • The presented technique offers a practical approach for assessing the accuracy of 3D DIC measurements.
  • It provides immediate feedback on configuration errors, enabling prompt system adjustments.
  • The method contributes to enhancing the reliability of strain and deformation measurements in engineering applications.