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

X-ray Imaging01:24

X-ray Imaging

5.6K
German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
5.6K
X-ray Diffraction of Biological Samples01:10

X-ray Diffraction of Biological Samples

3.8K
X-ray diffraction or XRD is an analytical tool that utilizes X-rays to study ordered structures such as crystalline organic and inorganic samples, polycrystalline materials, proteins, carbohydrates, and drugs.
According to Bragg's law, when X-rays strike the sample positioned on a stage, the rays are  scattered by the electron clouds around the sample atoms. The  X-ray diffraction or scattering is caused by constructive interference of the X-ray waves that reflect off the internal...
3.8K
Computed Tomography01:10

Computed Tomography

4.5K
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...
4.5K

You might also read

Related Articles

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

Sort by
Same author

Context-dependent roles of lncRNA JPX in human cancers.

Discover oncology·2026
Same author

Dual-Site Coordination of a Novel Triphenylamine-Based Self-Assembled Monolayer for Efficient and Stable Inverted Perovskite Solar Cells.

The journal of physical chemistry letters·2026
Same author

Solution epitaxy of single-crystal ferroelectric p-i-n structure with ultrahigh photovoltaic response.

Nature communications·2026
Same author

All-inorganic lattice-contracted fabric image sensors for extreme-temperature radiography.

Nature communications·2026
Same author

X-ray preactivated reversible persistent luminescence enables photodynamic immunotherapy of deep tumors.

Nature communications·2026
Same author

Ink-state preaggregation control enables scalable and automated fabrication of highly efficient and stable organic photovoltaics.

Science advances·2026

Related Experiment Video

Updated: Jul 12, 2025

Energy Dispersive X-ray Tomography for 3D Elemental Mapping of Individual Nanoparticles
10:00

Energy Dispersive X-ray Tomography for 3D Elemental Mapping of Individual Nanoparticles

Published on: July 5, 2016

11.8K

Quantitative Dual-Energy X-ray Imaging Based on K-Edge Absorption Difference.

Yirong Su1, Peng Ran1, Juan Hui1

  • 1State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China.

The Journal of Physical Chemistry Letters
|November 2, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a new method using K-edge absorption coefficients for selecting multilayer scintillators in X-ray imaging. This enables accurate X-ray spectral deduction, improving material density discrimination.

More Related Videos

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
08:30

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

14.5K
High Spatial Resolution Chemical Imaging of Implant-Associated Infections with X-ray Excited Luminescence Chemical Imaging Through Tissue
07:48

High Spatial Resolution Chemical Imaging of Implant-Associated Infections with X-ray Excited Luminescence Chemical Imaging Through Tissue

Published on: September 30, 2022

1.3K

Related Experiment Videos

Last Updated: Jul 12, 2025

Energy Dispersive X-ray Tomography for 3D Elemental Mapping of Individual Nanoparticles
10:00

Energy Dispersive X-ray Tomography for 3D Elemental Mapping of Individual Nanoparticles

Published on: July 5, 2016

11.8K
X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
08:30

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

14.5K
High Spatial Resolution Chemical Imaging of Implant-Associated Infections with X-ray Excited Luminescence Chemical Imaging Through Tissue
07:48

High Spatial Resolution Chemical Imaging of Implant-Associated Infections with X-ray Excited Luminescence Chemical Imaging Through Tissue

Published on: September 30, 2022

1.3K

Area of Science:

  • Medical Imaging
  • Materials Science
  • Physics

Background:

  • Conventional flat panel X-ray imaging (FPXI) lacks energy spectrum information due to single scintillator use.
  • Multispectral X-ray imaging using multilayer scintillators is a promising innovation.
  • Optimal multilayer scintillator configuration and quantitative analysis models require further exploration.

Purpose of the Study:

  • To establish principles for selecting optimal multilayer scintillator configurations.
  • To develop quantitative analysis models for multispectral X-ray imaging.
  • To improve material density and thickness discrimination using X-ray imaging.

Main Methods:

  • Utilized K-edge absorption coefficient for selecting tandem scintillator combinations.
  • Employed a coefficient matrix to calculate sample absorption efficiency spectra.
  • Developed a quantitative framework to deduce X-ray spectra from scintillation spectra using a dual scintillator (C4H12NMnCl3 and Cs3Cu2I5).

Main Results:

  • Achieved an average relative error of 6.28% between calculated and measured sample absorption spectra.
  • Successfully demonstrated a quantitative method for distinguishing material densities.
  • Validated the effectiveness of tandem scintillator configurations for dual-energy X-ray imaging.

Conclusions:

  • The K-edge absorption coefficient is a key parameter for optimal multilayer scintillator selection.
  • The developed quantitative framework accurately deduces X-ray spectra from scintillation spectra.
  • Multispectral X-ray imaging with tandem scintillators enhances material characterization for varied densities and thicknesses.