001     887742
005     20230310131355.0
024 7 _ |a 10.1016/j.ultramic.2020.113166
|2 doi
024 7 _ |a 0304-3991
|2 ISSN
024 7 _ |a 1879-2723
|2 ISSN
024 7 _ |a 2128/26559
|2 Handle
024 7 _ |a altmetric:94848697
|2 altmetric
024 7 _ |a 33227698
|2 pmid
024 7 _ |a WOS:000600307200002
|2 WOS
037 _ _ |a FZJ-2020-04399
082 _ _ |a 570
100 1 _ |a Yuan, Yu
|0 P:(DE-Juel1)166383
|b 0
245 _ _ |a Extraction of 3D quantitative maps using EDS-STEM tomography and HAADF-EDS bimodal tomography
260 _ _ |a Amsterdam
|c 2020
|b Elsevier Science
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1608106278_1985
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Electron tomography has been widely applied to three-dimensional (3D) morphology characterization and chemical analysis at the nanoscale. A HAADF-EDS bimodal tomographic (HEBT) reconstruction technique has been developed to extract high resolution element-specific information. However, the reconstructed elemental maps cannot be directly converted to quantitative compositional information. In this work, we propose a quantification approach for obtaining elemental weight fraction maps from the HEBT reconstruction technique using the physical parameters extracted from a Monte Carlo code, MC X-ray. A similar quantification approach is proposed for the EDS-STEM tomographic reconstruction. The performance of the two quantitative reconstruction methods, using the simultaneous iterative reconstruction technique, are evaluated and compared for a simulated dataset of a two-dimensional phantom sample. The effects of the reconstruction parameters including the number of iterations and the weight of the HAADF signal are discussed. Finally, the two approaches are applied to an experimental dataset to show the 3D structure and quantitative elemental maps of a particle of flux melted metal-organic framework glass.
536 _ _ |a 143 - Controlling Configuration-Based Phenomena (POF3-143)
|0 G:(DE-HGF)POF3-143
|c POF3-143
|x 0
|f POF III
536 _ _ |a DFG project 257727131 - Nanoskalige Pt Legierungselektrokatalysatoren mit definierter Morphologie: Synthese, Electrochemische Analyse, und ex-situ/in-situ Transmissionselektronenmikroskopische (TEM) Studien (257727131)
|0 G:(GEPRIS)257727131
|c 257727131
|x 1
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a MacArthur, Katherine E.
|0 P:(DE-Juel1)168372
|b 1
|e Corresponding author
700 1 _ |a Collins, Sean M.
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Brodusch, Nicolas
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Voisard, Frédéric
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Dunin-Borkowski, Rafal E.
|0 P:(DE-Juel1)144121
|b 5
700 1 _ |a Gauvin, Raynald
|0 P:(DE-HGF)0
|b 6
|e Corresponding author
773 _ _ |a 10.1016/j.ultramic.2020.113166
|g p. 113166 -
|0 PERI:(DE-600)1479043-9
|p 113166 -
|t Ultramicroscopy
|v 220
|y 2020
|x 0304-3991
856 4 _ |u https://juser.fz-juelich.de/record/887742/files/1-s2.0-S0304399120303090-main.pdf
856 4 _ |y Published on 2020-11-09. Available in OpenAccess from 2022-11-09.
|u https://juser.fz-juelich.de/record/887742/files/Extraction_of_3D_quantitative_maps.pdf
856 4 _ |y Published on 2020-11-09. Available in OpenAccess from 2022-11-09.
|x pdfa
|u https://juser.fz-juelich.de/record/887742/files/Extraction_of_3D_quantitative_maps.pdf?subformat=pdfa
909 C O |o oai:juser.fz-juelich.de:887742
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)168372
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 5
|6 P:(DE-Juel1)144121
913 1 _ |a DE-HGF
|l Future Information Technology - Fundamentals, Novel Concepts and Energy Efficiency (FIT)
|1 G:(DE-HGF)POF3-140
|0 G:(DE-HGF)POF3-143
|2 G:(DE-HGF)POF3-100
|v Controlling Configuration-Based Phenomena
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Energie
914 1 _ |y 2020
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2020-09-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2020-09-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2020-09-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2020-09-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2020-09-02
915 _ _ |a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0
|0 LIC:(DE-HGF)CCBYNCND4
|2 HGFVOC
915 _ _ |a Embargoed OpenAccess
|0 StatID:(DE-HGF)0530
|2 StatID
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b ULTRAMICROSCOPY : 2018
|d 2020-09-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2020-09-02
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2020-09-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2020-09-02
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2020-09-02
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2020-09-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2020-09-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2020-09-02
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2020-09-02
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2020-09-02
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)ER-C-1-20170209
|k ER-C-1
|l Physik Nanoskaliger Systeme
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)ER-C-1-20170209
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21