Processing X-ray Fluorescence Tomography Data With XRFtomo
نویسندگان
چکیده
منابع مشابه
X-ray data processing
The method of molecular structure determination by X-ray crystallography is a little over a century old. The history is described briefly, along with developments in X-ray sources and detectors. The fundamental processes involved in measuring diffraction patterns on area detectors, i.e. autoindexing, refining crystal and detector parameters, integrating the reflections themselves and putting th...
متن کاملJoint reconstruction of x-ray fluorescence and transmission tomography.
X-ray fluorescence tomography is based on the detection of fluorescence x-ray photons produced following x-ray absorption while a specimen is rotated; it provides information on the 3D distribution of selected elements within a sample. One limitation in the quality of sample recovery is the separation of elemental signals due to the finite energy resolution of the detector. Another limitation i...
متن کاملSubsurface Particle Analysis using X-ray Computed Tomography and Confocal X- ray Fluorescence
متن کامل
X-ray computed tomography.
X-ray computed tomography (CT), introduced into clinical practice in 1972, was the first of the modern slice-imaging modalities. To reconstruct images mathematically from measured data and to display and to archive them in digital form was a novelty then and is commonplace today. CT has shown a steady upward trend with respect to technology, performance and clinical use independent of predictio...
متن کاملMMX-I: data-processing software for multimodal X-ray imaging and tomography
A new multi-platform freeware has been developed for the processing and reconstruction of scanning multi-technique X-ray imaging and tomography datasets. The software platform aims to treat different scanning imaging techniques: X-ray fluorescence, phase, absorption and dark field and any of their combinations, thus providing an easy-to-use data processing tool for the X-ray imaging user commun...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Microscopy and Microanalysis
سال: 2020
ISSN: 1431-9276,1435-8115
DOI: 10.1017/s1431927620017572