Abstract
Spectral K-edge subtraction imaging and wide-field energy-dispersive X-ray absorption spectroscopy imaging are novel, related, synchrotron imaging techniques for element absorption contrast imaging and element speciation imaging, respectively. These two techniques serve different goals but share the same X-ray optics principles with a bent Laue type monochromator and the same data processing algorithms. As there is a growing interest to implement these novel techniques in synchrotron facilities, Python-based software has been developed to automate the data processing procedures for both techniques. In this paper, the concept of the essential data processing algorithms are explained, the workflow of the software is described, and the main features and some related utilities are introduced.
Highlights
Bent Laue or transmission type silicon crystals have been widely used as monochromators in synchrotron X-ray studies, including K-edge subtraction imaging (KES) (Elleaume et al, 1999) and energy-dispersive X-ray absorption spectroscopy (EDXAS) (Pascarelli et al, 2016)
The differences between the two imaging techniques are that spectral KES is meant for studying the absorption contrast between an element and its matrix at relatively high energies (e.g. > 20 keV), while the wide-field EDXAS is for investigating the local environment and/or the speciation of an element at lower energies (e.g.
The X-ray Spectral Imaging Program (XSIP) is built for the spectral KES and wide-field EDXAS imaging techniques, which have been deployed at the Canadian Light Source (CLS) BMIT-BM beamline
Summary
Bent Laue or transmission type silicon crystals have been widely used as monochromators in synchrotron X-ray studies, including K-edge subtraction imaging (KES) (Elleaume et al, 1999) and energy-dispersive X-ray absorption spectroscopy (EDXAS) (Pascarelli et al, 2016). Both spectral KES and wide-field EDXAS are enabled by a bent Laue monochromator with excellent energy-dispersive properties (Zhu et al, 2014; Qi et al, 2019) This improved energy resolution, especially in the case of KES, has resulted in the elimination of a splitter to separate the X-rays into above and below the K-edge of the contrast element beams, resulting in a simpler, easier-to-align and operate imaging system. This ease of use, has resulted in a more complex image analysis requirement. As there is a growing interest in implementing these novel imaging techniques in facilities worldwide, a user-friendly Python-based software, the X-ray Spectral Imaging Program (XSIP), was developed for spectral imaging data analysis
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