Dataset of "Full-field X-ray fluorescence imaging using a Fresnel zone plate as coded aperture: optimized reconstruction algorithm and hyperspectral XANES mapping"

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Authors: Gautier Landrot, A. Dawiec, B. Eckert, Petra Majewski, Michael Brunner, Andrew Fram, Martin Huth, Guillaume Alizon, Claude Menneglier, Enrico Piasentier, Karine Chaouchi, S. Blanchandin
+3 more Pascal Mercère, Chauvin, Martin, Emiliano Fonda
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Abstract

Dataset of "Full-field X-ray fluorescence imaging using a Fresnel zone plate as coded aperture: optimized reconstruction algorithm and hyperspectral XANES mapping" Abstract We reported the first ever-achieved trial of hyperspectral X-ray Absorption Near Edge Structure (XANES) mapping performed using a full-field fluorescence imaging approach. This method may be useful in many research fields for determining the spatial distributions of the different oxidation states of an element present at low concentration in X-ray beam-sensitive samples. We demonstrated that this approach could be easily performed using a full-field imaging method where a Fresnel Zone Plate (FZP) was employed as a coded aperture, which represented a practical, fast, and dose-efficient alternative to the raster-scanning technique. We optimized the basic form of the reconstruction algorithm, which was derived from inline holography. This enabled to improve the spatial resolution and overall quality of the reconstructed image. The ~62 µm spatial resolution experimentally achieved may be further optimized to about 5 µm using a smaller FZP and larger detector than those used in this investigation. Similarly, the quantification results obtained from the tested hyperspectral spectroscopy approach, where the accuracy and precision in the measured relative Cr(III) & Cr(VI) amounts were both off by about 20 %, can be further improved by optimizing the pile-up corrections on the detector output.

Fields of Study & Subjects

Advanced X-ray Imaging Techniques X-ray Spectroscopy and Fluorescence Analysis Cultural Heritage Materials Analysis

Publication details

Journal / source
Recherche Data Gouv France
Publication date
1 January 2026
Document type
Dataset