Litcius/Paper detail

<scp>XRFitVis</scp> : A Cloud‐Based Visualization Tool for <scp>μXRF</scp> Mapping Datasets

George Kourousias, Francesco Guzzi, Roberto Pugliese, Fulvio Billè, Kalliopi Tsampa, Alessandra Gianoncelli

2025X-Ray Spectrometry7 citationsDOIOpen Access PDF

Abstract

ABSTRACT X‐ray fluorescence (XRF) spectroscopy is a versatile tool employed in various fields like biomedicine, nanotechnology, and cultural heritage, providing comprehensive elemental maps that combine spectrographic, spatial, and morphological data. While commonly utilized in laboratories and synchrotron beamlines, accurate XRF data interpretation demands specialized software that incorporates the underlying physics, with PyMCA (ESRF) being a notable example. This manuscript introduces XRFitVis, an innovative, cloud‐based application designed for the effective visualization of μXRF maps, akin to those produced by PyMCA and similar platforms. This modern tool offers a user‐friendly, web‐based solution that facilitates the assessment of experimental results and the creation of publication‐ready figures, eliminating the need for local installation. Garnering positive feedback from early adopters, XRFitVis is now available to a broader audience. Hosted by Elettra Sincrotrone Trieste primarily for PyMCA‐fitted results, it aims for broad compatibility with various XRF fitting software, marking a significant step forward as the first free, generic, yet XRF‐specific visualization tool, poised to benefit the global spectroscopy community.

Topics & Concepts

Cloud computingVisualizationComputer scienceData miningOperating systemMedical Imaging Techniques and ApplicationsScientific Computing and Data ManagementHydrocarbon exploration and reservoir analysis