Analysis of X-ray images and spectra (aXis2000): A toolkit for the analysis of X-ray spectromicroscopy data

Spectromicroscopy refers to analytical methods that combine imaging and spectroscopy to provide detailed, spatially resolved analytical information about a sample, such as the type and quantitative spatial distributions of chemical components, geometric or magnetic alignment information, crystal str...

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Bibliographic Details
Published inJournal of electron spectroscopy and related phenomena Vol. 266; no. C; p. 147360
Main Author Hitchcock, Adam P.
Format Journal Article
LanguageEnglish
Published United States Elsevier B.V 01.07.2023
Elsevier
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Summary:Spectromicroscopy refers to analytical methods that combine imaging and spectroscopy to provide detailed, spatially resolved analytical information about a sample, such as the type and quantitative spatial distributions of chemical components, geometric or magnetic alignment information, crystal structure, etc. The analysis of X-ray images and spectra (aXis2000) software described in this work provides a set of routines within a single, integrated, graphical-oriented package to read, display, manipulate and analyze spectromicroscopy data, with particular focus on soft X-ray spectromicroscopy methods such as scanning transmission X-ray microscopy (STXM), X-ray photoemission electron microscopy (XPEEM), scanning photoelectron X-ray microscopy (SPEM) and transmission X-ray microscopy (TXM). Here, this free software is described and compared to other software that can provide similar or complementary capabilities. Examples of spectromicroscopic analyses using advanced features of aXis2000 are provided. •aXis2000, a software package for analysis of spectromicroscopy data analysis is described.•Details on how to access and use are provided.•Examples of use of aXis2000 for hyperspectral 3D and 4D data analysis are given.•Data sets and sample analyses are provided in supplemental information.
Bibliography:USDOE Office of Science (SC), Basic Energy Sciences (BES). Materials Sciences & Engineering Division (MSE)
AC02-05CH11231
ISSN:0368-2048
1873-2526
DOI:10.1016/j.elspec.2023.147360