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

Computed Tomography01:10

Computed Tomography

7.6K
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...
7.6K
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

2.0K
Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
2.0K
Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

1.5K
Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
The ATR process begins by directing a beam...
1.5K

You might also read

Related Articles

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

Sort by
Same author

Stage-specific Healthcare Burden of Fall-related Injuries Among Older Adults in Korea.

Journal of preventive medicine and public health = Yebang Uihakhoe chi·2026
Same author

Renal Dysfunction Modifies the Prognostic Value of Lactate Clearance in Extracorporeal Cardiopulmonary Resuscitation: A Retrospective Interaction Analysis.

Journal of cardiothoracic and vascular anesthesia·2026
Same author

Sulfonation-Time-Dependent Structure-Property Relationships of Electrospun Polyketone Nanofiber Membranes for PEMFC Applications.

Polymers·2026
Same author

Human amygdala-like telencephalic organoids model stress circuitry in assembloid systems.

Cell stem cell·2026
Same author

Reply to "Parasternal Long-Axis M-Mode Scoring for Diastolic Dysfunction: A Step Forward, but Validation Remains the Unfinished Business".

Echocardiography (Mount Kisco, N.Y.)·2026
Same author

Dysregulation of astrocytic DNAJC6 contributes to sporadic Parkinson's disease pathogenesis.

The Journal of clinical investigation·2026

Related Experiment Video

Updated: Apr 26, 2026

Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors
08:56

Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors

Published on: April 5, 2020

10.1K

Adaptive compressed sensing for the fast terahertz reflection tomography.

Kijun Kim, Dong-Gyu Lee, Woo-Gyu Ham

    IEEE Journal of Biomedical and Health Informatics
    |July 24, 2014
    PubMed
    Summary

    This study introduces adaptive compressed sensing to improve fast terahertz reflection tomography. The method enhances image quality by intelligently acquiring more data in degraded regions, outperforming conventional techniques.

    More Related Videos

    Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography
    10:18

    Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography

    Published on: February 21, 2017

    9.0K
    Simulation, Fabrication and Characterization of THz Metamaterial Absorbers
    13:44

    Simulation, Fabrication and Characterization of THz Metamaterial Absorbers

    Published on: December 27, 2012

    15.0K

    Related Experiment Videos

    Last Updated: Apr 26, 2026

    Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors
    08:56

    Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors

    Published on: April 5, 2020

    10.1K
    Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography
    10:18

    Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography

    Published on: February 21, 2017

    9.0K
    Simulation, Fabrication and Characterization of THz Metamaterial Absorbers
    13:44

    Simulation, Fabrication and Characterization of THz Metamaterial Absorbers

    Published on: December 27, 2012

    15.0K

    Area of Science:

    • Physics
    • Electrical Engineering
    • Image Processing

    Background:

    • Terahertz (T-ray) reflection tomography is a valuable imaging technique.
    • Fast T-ray tomography can suffer from image degradation.
    • Enhancing image quality in T-ray tomography is crucial for applications.

    Purpose of the Study:

    • To propose an adaptive compressed sensing method for fast terahertz reflection tomography.
    • To improve the quality of reconstructed tomographic images.
    • To validate the effectiveness of the proposed method compared to conventional approaches.

    Main Methods:

    • An adaptive compressed sensing approach was developed.
    • Data acquisition was performed at random spatial points initially.
    • Additional measurement points were adaptively allocated to regions with expected degradation.

    Main Results:

    • The adaptive method successfully identified and targeted regions prone to image degradation.
    • More data were acquired in critical areas, leading to improved image quality.
    • The proposed method demonstrated enhanced performance over conventional methods for the same number of measurement points.

    Conclusions:

    • Adaptive compressed sensing significantly enhances fast terahertz reflection tomography performance.
    • The intelligent allocation of measurement points improves reconstructed image quality.
    • This technique offers a viable solution for high-quality T-ray imaging.