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

Ultrasound II: Endoscopic Ultrasound and FibroScan01:25

Ultrasound II: Endoscopic Ultrasound and FibroScan

Endoscopic Ultrasound (EUS) and FibroScan are valuable diagnostic tools in gastroenterology and hepatology, each with specific applications and techniques.
Endoscopic Ultrasound (EUS):
Imaging Studies II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...
Ultrasonography01:17

Ultrasonography

Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called a...
Deformation of Member under Multiple Loadings01:11

Deformation of Member under Multiple Loadings

When a rod is made of different materials or has various cross-sections, it must be divided into parts that meet the necessary conditions for determining the deformation. These parts are each characterized by their internal force, cross-sectional area, length, and modulus of elasticity. These parameters are then used to compute the deformation of the entire rod.
In the case of a member with a variable cross-section, the strain is not constant but depends on the position. The deformation of an...
Strain and Elastic Modulus01:15

Strain and Elastic Modulus

The quantity that describes the deformation of a body under stress is known as strain. Strain is given as a fractional change in either length, volume, or geometry under tensile, volume (also known as bulk), or shear stress, respectively, and is a dimensionless quantity. The strain experienced by a body under tensile or compressive stress is called tensile or compressive strain, respectively. In contrast, the strain experienced under bulk stress and shear stress is known as volume and shear...
Elastic Strain Energy for Normal Stresses01:22

Elastic Strain Energy for Normal Stresses

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...

You might also read

Related Articles

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

Sort by
Same author

Type 2 diabetes remodels collateral circulation and promotes leukocyte adhesion following ischemic stroke.

bioRxiv : the preprint server for biology·2024
Same author

Semi-Automated Analysis of Dome-Shaped Macula in Preterm and Full-Term Infants Using Handheld Swept-Source Optical Coherence Tomography.

Investigative ophthalmology & visual science·2024
Same author

Light-adapted flicker-optoretinography based on raster-scan optical coherence tomography towards clinical translation.

Biomedical optics express·2024
Same author

Comparison Between Optical Coherence Tomography B-scan and En Face Imaging for the Diagnosis of Early Macular Atrophy in Age-Related Macular Degeneration.

American journal of ophthalmology·2024
Same author

Evaluating the persistence of large choroidal hypertransmission defects using SS-OCT imaging.

Experimental eye research·2024
Same author

Adaptive contour-tracking to aid wide-field swept-source optical coherence tomography imaging of large objects with uneven surface topology.

Biomedical optics express·2024
Same journal

Denoising algorithm of Φ-OTDR systems based on adaptive fractional wavelet transform denoising.

Optics express·2026
Same journal

Millisecond photon-to-photon latency and high-speed volumetric projection system for optogenetics.

Optics express·2026
Same journal

Polarization-encoded coaxial structured light for high-precision 3D surface profilometry.

Optics express·2026
Same journal

Discrete freeform optical design based on collaborative optimization of point cloud and local normals.

Optics express·2026
Same journal

Ultrafast ghost imaging with 25 GHz speckle switching and wavelength-division multiplexing.

Optics express·2026
Same journal

Atomic vapor cells fabricated by femtosecond laser welding of standard-optical-quality glass.

Optics express·2026
See all related articles

Related Experiment Video

Updated: Jun 22, 2026

Quantifying Elastic Properties of Environmental Biofilms using Optical Coherence Elastography
04:51

Quantifying Elastic Properties of Environmental Biofilms using Optical Coherence Elastography

Published on: March 1, 2024

OCT-based elastography for large and small deformations.

Sean J Kirkpatrick, Ruikang K Wang, Donald D Duncan

    Optics Express
    |June 17, 2009
    PubMed
    Summary
    This summary is machine-generated.

    We developed two optical coherence tomography (OCT) speckle tracking methods for elastography, suitable for small or large motions. These techniques accurately measured tissue phantom stiffness, outperforming traditional methods.

    More Related Videos

    Magnetic Resonance Elastography Methodology for the Evaluation of Tissue Engineered Construct Growth
    12:18

    Magnetic Resonance Elastography Methodology for the Evaluation of Tissue Engineered Construct Growth

    Published on: February 9, 2012

    Related Experiment Videos

    Last Updated: Jun 22, 2026

    Quantifying Elastic Properties of Environmental Biofilms using Optical Coherence Elastography
    04:51

    Quantifying Elastic Properties of Environmental Biofilms using Optical Coherence Elastography

    Published on: March 1, 2024

    Magnetic Resonance Elastography Methodology for the Evaluation of Tissue Engineered Construct Growth
    12:18

    Magnetic Resonance Elastography Methodology for the Evaluation of Tissue Engineered Construct Growth

    Published on: February 9, 2012

    Area of Science:

    • Biomedical Optics
    • Medical Imaging
    • Biophysics

    Background:

    • Optical coherence tomography (OCT) elastography measures tissue stiffness.
    • Traditional cross-correlation methods struggle with large or rapid speckle motions.
    • Developing robust speckle tracking is crucial for accurate OCT elastography.

    Purpose of the Study:

    • To present and validate two novel speckle tracking algorithms for OCT-based elastography.
    • To assess algorithm performance under varying deformation magnitudes (small vs. large).
    • To compare the new methods against traditional cross-correlation techniques.

    Main Methods:

    • Two distinct speckle tracking algorithms were developed: one for small speckle motions and another for large, rapid motions.
    • A spectral domain OCT system was used to image a bi-layered polyvinyl alcohol tissue phantom.
    • The phantom was subjected to controlled small and large dynamic compressive forces to simulate tissue deformation.

    Main Results:

    • Both developed algorithms successfully quantified the strain response in the tissue phantom.
    • The algorithms accurately identified the two mechanically distinct regions of the inhomogeneous phantom.
    • Estimated stiffness ratios were consistent across both small and large deformation scenarios and agreed with prior mechanical testing.

    Conclusions:

    • The presented speckle tracking approaches offer advantages over traditional methods for OCT elastography.
    • Algorithm performance is robust for both small and large deformation scenarios.
    • The choice of speckle shift algorithm should be guided by specific experimental conditions in OCT elastography.