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Related Experiment Video

Updated: Feb 8, 2026

Elemental-sensitive Detection of the Chemistry in Batteries through Soft X-ray Absorption Spectroscopy and Resonant Inelastic X-ray Scattering
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Absorption, refraction and scattering retrieval in X-ray analyzer-based imaging.

Zhili Wang1, Dalin Liu1, Jin Zhang2

  • 1School of Electronics and Applied Physics, Hefei University of Technology, Hefei, Anhui 230009, People's Republic of China.

Journal of Synchrotron Radiation
|July 7, 2018
PubMed
Summary
This summary is machine-generated.

A novel three-image algorithm retrieves X-ray absorption, refraction, and ultra-small-angle X-ray scattering (USAXS) properties. This method simplifies data acquisition for applications like in vivo imaging.

Keywords:
USAXSX-ray imaginganalyzer-based imaginginformation retrievalphase contrastrocking curvesthree-image algorithms

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Area of Science:

  • X-ray imaging
  • Materials characterization
  • Biomedical imaging

Background:

  • X-ray analyzer-based imaging enables simultaneous measurement of absorption, refraction, and scattering.
  • Current methods often require extensive data collection, limiting applications.

Purpose of the Study:

  • To develop and validate a simplified algorithm for retrieving absorption, refraction, and ultra-small-angle X-ray scattering (USAXS) properties.
  • To reduce data acquisition time and complexity in X-ray imaging.

Main Methods:

  • Theoretical derivation of a novel three-image algorithm based on Gaussian fitting of rocking curves.
  • Experimental validation using synchrotron radiation.
  • Investigation of angular mis-alignment effects.

Main Results:

  • The algorithm successfully retrieves absorption, refraction, and USAXS properties using a minimum of three intensity measurements.
  • Demonstrated advantage over multiple-image radiography in terms of simplified acquisition and reduced data collection times.
  • Potential to reduce measurements to two with a priori knowledge.

Conclusions:

  • The proposed three-image algorithm offers an efficient method for material property retrieval in X-ray imaging.
  • Its reduced data requirements are particularly beneficial for in vivo imaging and phase tomography.
  • Understanding angular mis-alignment is crucial for optimizing acquisition and interpreting results.