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

Elasticity01:12

Elasticity

3.9K
Elasticity is the ability of an object to withstand the effects of distortion and to return to its original size and shape once the forces causing deformation are removed. When an elastic material deforms under the action of an external force, it experiences internal resistance to the deformation. However, if no external force is applied, it returns to its original state.
The elasticity of an object can be described by a stress-strain curve, which represents the relationship between stress...
3.9K
Elastic Strain Energy for Shearing Stresses01:20

Elastic Strain Energy for Shearing Stresses

264
As discussed in previous lessons, strain energy in a material is the energy stored when it is elastically deformed, a concept crucial in materials science and mechanical engineering. This energy results from the internal work done against the cohesive forces within the material. When a material undergoes shearing stress and corresponding shearing strain, the strain energy density, which is the energy stored per unit volume, is calculated. Within the elastic limit, where the stress is...
264
Relation between Poisson's ratio, Modulus of Elasticity and Modulus of Rigidity01:15

Relation between Poisson's ratio, Modulus of Elasticity and Modulus of Rigidity

317
Deformation occurs in axial and transverse directions when an axial load is applied to a slender bar. This deformation impacts the cubic element within the bar, transforming it into either a rectangular parallelepiped or a rhombus, contingent on its orientation. This transformation process induces shearing strain. Axial loading elicits both shearing and normal strains. Applying an axial load instigates equal normal and shearing stresses on elements oriented at a 45° angle to the load axis.
317
Elasticity in Concrete01:20

Elasticity in Concrete

126
Upon subjecting concrete to moderate or high uniaxial compressive or tensile stresses, the strain response is non-linear relative to the stress applied. As the stress is removed, the resulting stress-strain curve deviates from the original path traced during loading, creating a hysteresis loop, indicative of the concrete's non-linear and non-elastic properties. Typically, a material's modulus of elasticity, which is a measure of the material's stiffness, is inferred from the linear...
126
Elastic Strain Energy for Normal Stresses01:22

Elastic Strain Energy for Normal Stresses

247
Strain energy quantifies the energy stored within a material due to deformation under loading conditions, a fundamental concept in materials science and engineering. The strain energy can be modeled when a material is subjected to axial loading with uniformly distributed stress. In this scenario, the stress experienced by the material is the internal force divided by the cross-sectional area, and the strain induced is directly proportional to this stress through the modulus of elasticity.
If...
247
Elastin is Responsible for Tissue Elasticity01:12

Elastin is Responsible for Tissue Elasticity

2.4K
Elastic fiber contains the protein elastin along with lesser amounts of other proteins and glycoproteins. The main property of elastin is that it will return to its original shape after being stretched or compressed. Elastic fibers are prominent in elastic tissues found in skin and the elastic ligaments of the vertebral column.
Ligaments and tendons are made of dense regular connective tissue, but in ligaments not all fibers are parallel. Dense regular elastic tissue contains elastin fibers and...
2.4K

You might also read

Related Articles

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

Sort by
Same author

Dragging four-point method along a circular pathย for high-precision measurement.

Applied opticsยท2026
Same author

L1CAM Promotes Human Endometrial Cancer Via NF-ฮบB Activation.

Cancersยท2026
Same author

PAGE4, upregulated in a novel iPSC-derived hepatoblastoma model, promotes hepatoblastoma progression.

Biochemical and biophysical research communicationsยท2025
Same author

GM-CSF Promotes the Survival of Peripheral-Derived Myeloid Cells in the Central Nervous System for Pain-Induced Relapse of Neuroinflammation.

Journal of immunology (Baltimore, Md. : 1950)ยท2023
Same author

In situ Microinflammation Detection Using Gold Nanoclusters and a Tissue-clearing Method.

Bio-protocolยท2023
Same author

Point-diffraction interferometer wavefront sensor with birefringent crystal.

Applied opticsยท2020

Related Experiment Video

Updated: Aug 25, 2025

Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics
14:14

Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics

Published on: April 16, 2017

11.7K

Data-stitching algorithm based on elasticity.

Mikio Kurita, Asuka Ishii

    Applied Optics
    |October 18, 2022
    PubMed
    Summary

    This study introduces a novel data-stitching algorithm, treating sequential data as an elastic body to reduce inconsistencies. The new method effectively mitigates drift errors common in combined measurement data.

    Area of Science:

    • Data Science
    • Measurement Systems Engineering

    Background:

    • Data-stitching algorithms are crucial for merging sequential data and expanding measurement system capabilities.
    • Existing methods, like least squares, often introduce inconsistencies at data intersections due to measurement errors, primarily drift.

    Purpose of the Study:

    • To develop a novel data-stitching algorithm that addresses the inconsistency issue in combined sequential data.
    • To improve the accuracy of stitched data by mitigating drift errors.

    Main Methods:

    • Proposed a new data-stitching algorithm conceptualizing sequential data as an elastic body.
    • Applied and validated the algorithm across various types of sequential data.

    Main Results:

    • The novel algorithm demonstrated significant mitigation of drift errors in stitched data.

    More Related Videos

    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

    2.2K
    Equibiaxial Stretching Device for High Magnification Live-Cell Confocal Fluorescence Microscopy
    08:41

    Equibiaxial Stretching Device for High Magnification Live-Cell Confocal Fluorescence Microscopy

    Published on: June 13, 2025

    376

    Related Experiment Videos

    Last Updated: Aug 25, 2025

    Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics
    14:14

    Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics

    Published on: April 16, 2017

    11.7K
    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

    2.2K
    Equibiaxial Stretching Device for High Magnification Live-Cell Confocal Fluorescence Microscopy
    08:41

    Equibiaxial Stretching Device for High Magnification Live-Cell Confocal Fluorescence Microscopy

    Published on: June 13, 2025

    376
  • Confirmed the effectiveness of the elastic body approach in improving data consistency at intersections.

    • Conclusions:

    • The proposed elastic body-based data-stitching algorithm offers a superior solution for combining sequential data.
    • This approach effectively reduces inconsistencies and drift errors, enhancing the reliability of measurement systems.