Matsunaga, N;
Yano, K;
Endrizzi, M;
Olivo, A;
(2020)
Detection of individual sub-pixel features in Edge-Illumination X-Ray Phase Contrast Imaging by means of the dark-field channel.
Journal of Physics D: Applied Physics
, 53
(9)
, Article 095401. 10.1088/1361-6463/ab5aa0.
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Abstract
We report on a direct comparison in the detectability of individual sub-pixel-size features between the three complementary contrast channels provided by edge-illumination x-ray phase contrast imaging at constant exposure time and spatial sampling pitch. The dark-field (or ultra-small-angle x-ray scattering) image is known to provide information on sample micro-structure at length scales that are smaller than the system's spatial resolution, averaged over its length. By using a custom-built groove sample, we show how this can also be exploited to detect individual, isolated features. While these are highlighted in the dark-field image, they remain invisible to the phase and attenuation contrast channels. Finally, we show images of a memory SD card as an indication towards potential applications.
Type: | Article |
---|---|
Title: | Detection of individual sub-pixel features in Edge-Illumination X-Ray Phase Contrast Imaging by means of the dark-field channel |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1088/1361-6463/ab5aa0 |
Publisher version: | https://doi.org/10.1088/1361-6463/ab5aa0 |
Language: | English |
Additional information: | This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10086092 |
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