Scientific Reports (Jul 2023)

On the quantification of sample microstructure using single-exposure x-ray dark-field imaging via a single-grid setup

  • Ying Ying How,
  • David M. Paganin,
  • Kaye S. Morgan

DOI
https://doi.org/10.1038/s41598-023-37334-3
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 17

Abstract

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Abstract The size of the smallest detectable sample feature in an x-ray imaging system is usually restricted by the spatial resolution of the system. This limitation can now be overcome using the diffusive dark-field signal, which is generated by unresolved phase effects or the ultra-small-angle x-ray scattering from unresolved sample microstructures. A quantitative measure of this dark-field signal can be useful in revealing the microstructure size or material for medical diagnosis, security screening and materials science. Recently, we derived a new method to quantify the diffusive dark-field signal in terms of a scattering angle using a single-exposure grid-based approach. In this manuscript, we look at the problem of quantifying the sample microstructure size from this single-exposure dark-field signal. We do this by quantifying the diffusive dark-field signal produced by 5 different sizes of polystyrene microspheres, ranging from 1.0 to 10.8 µm, to investigate how the strength of the extracted dark-field signal changes with the sample microstructure size, $$S$$ S . We also explore the feasibility of performing single-exposure dark-field imaging with a simple equation for the optimal propagation distance, given microstructure with a specific size and thickness, and show consistency between this model and experimental data. Our theoretical model predicts that the dark-field scattering angle is inversely proportional to $$\sqrt{S}$$ S , which is also consistent with our experimental data.