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X-ray Imaging

X-ray Imaging

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...

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Related Experiment Video

Updated: Sep 25, 2025

In situ Grazing Incidence Small Angle X-ray Scattering on Roll-To-Roll Coating of Organic Solar Cells with Laboratory X-ray Instrumentation

In situ Grazing Incidence Small Angle X-ray Scattering on Roll-To-Roll Coating of Organic Solar Cells with Laboratory X-ray Instrumentation

Published on: March 2, 2021

Quantifying the x-ray dark-field signal in single-grid imaging.

Ying Ying How, Kaye S Morgan

|April 27, 2022

Summary

This study introduces a new method for quantitative X-ray dark-field imaging using a single grid. The technique accurately measures sample microstructure, even with limited exposures, advancing material science analysis.

Area of Science:

Materials Science
Physics
Imaging Technology

Background:

Conventional X-ray imaging struggles to resolve fine sample microstructures.
X-ray dark-field imaging offers enhanced contrast for microstructural analysis.
Quantifying dark-field signals, especially with limited data, remains a challenge.

Purpose of the Study:

To develop and validate a novel method for extracting and quantifying X-ray dark-field signals.
To establish a relationship between dark-field signal strength and the number of microstructures (N).
To enable quantitative dark-field imaging with single-grid setups and limited exposures.

Main Methods:

Developed a new method to extract quantitative X-ray dark-field signals from a single-grid setup.

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Last Updated: Sep 25, 2025

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Modeled sample-induced changes in the upstream grid's shadow.

Fitted experimental data to the developed model to quantify microstructure.

Main Results:

Successfully extracted and quantified X-ray dark-field signals.
Related signal strength to the number of microstructures (N).
Observed slight deviations in scattering angle from theoretical models, consistent with other methods.

Conclusions:

The proposed method enables quantitative dark-field imaging of small samples.
It is particularly useful when sample movement or radiation dose limits exposures.
Future work may extend this approach to directional dark-field imaging.