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 Experiment Videos

X-ray phase-contrast imaging: transmission functions separable in Cartesian coordinates.

Guohua Cao1, Theron J Hamilton, Christoph Rose-Petruck

  • 1Department of Chemistry, Brown University, Providence, Rhode Island 02912, USA.

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
|March 16, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

A Neural-Analytical Fusion Scatter Correction Method for Multi-Source CT Using Equivalent High-Order Scatter.

IEEE transactions on medical imaging·2026
Same author

SFE-GAT: Structure-Feature Evolution Graph Attention Network for Motor Imagery Decoding.

Sensors (Basel, Switzerland)·2026
Same author

How data assets influence enterprise persistent innovation: Evidence from China.

PloS one·2025
Same author

Ferroelectrically Switchable Half-Quantized Hall Effect.

Nano letters·2025
Same author

A Method for Mounting Space Telescope Optical Systems Based on the Sensitivity Matrix of Intrinsic Coefficients.

Sensors (Basel, Switzerland)·2025
Same author

Multi-agent deep reinforcement learning-based robotic arm assembly research.

PloS one·2025

This study presents a new method for x-ray phase-contrast imaging, enhancing visibility of internal structures. The findings improve imaging techniques for biological samples using advanced mathematical models and experimental validation.

Area of Science:

  • Medical Imaging
  • Physics

Background:

  • X-ray imaging traditionally relies on absorption, limiting contrast for certain materials.
  • Phase-contrast imaging offers enhanced sensitivity to subtle variations in x-ray wave propagation.

Purpose of the Study:

  • To derive and evaluate expressions for in-line x-ray phase-contrast imaging.
  • To analyze the impact of source dimensions on image quality and feature visibility.

Main Methods:

  • Utilized the Fresnel-Kirchhoff integral formula for image formation.
  • Derived expressions for phase-contrast imaging of objects with separable transmission functions.
  • Evaluated limiting cases including large source-to-object distances and point sources.

Main Results:

Related Experiment Videos

  • Developed an expression for phase-contrast images from x-ray sources with non-zero dimensions.
  • Demonstrated the influence of source size on phase-contrast feature visibility.
  • Validated the derived expressions for high-magnification scenarios relevant to biological imaging.

    • Conclusions:

    • The derived expressions accurately model in-line x-ray phase-contrast imaging.
    • Source dimensions significantly affect image contrast and feature detection.
    • The method shows promise for high-magnification biological imaging applications.