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dc.contributor.authorJones, Lewys
dc.contributor.authorWenner, Sigurd
dc.contributor.authorNord, Magnus Kristofer
dc.contributor.authorNinive, Per Harald
dc.contributor.authorLøvvik, Ole Martin
dc.contributor.authorHolmestad, Randi
dc.contributor.authorNellist, P.D.
dc.date.accessioned2017-12-01T08:36:13Z
dc.date.available2017-12-01T08:36:13Z
dc.date.created2017-04-24T07:46:44Z
dc.date.issued2017
dc.identifier.citationUltramicroscopy. 2017, 179 57-62.nb_NO
dc.identifier.issn0304-3991
dc.identifier.urihttp://hdl.handle.net/11250/2468692
dc.description.abstractAnnular dark-field scanning transmission electron microscopy is a powerful tool to study crystal defects at the atomic scale but historically single slow-scanned frames have been plagued by low-frequency scanning-distortions prohibiting accurate strain mapping at atomic resolution. Recently, multi-frame acquisition approaches combined with post-processing have demonstrated significant improvements in strain precision, but the optimum number of frames to record has not been explored. Here we use a non-rigid image registration procedure before applying established strain mapping methods. We determine how, for a fixed total electron-budget, the available dose should be fractionated for maximum strain mapping precision. We find that reductions in scanning-artefacts of more than 70% are achievable with image series of 20–30 frames in length. For our setup, series longer than 30 frames showed little further improvement. As an application, the strain field around an aluminium alloy precipitate was studied, from which our optimised approach yields data whos strain accuracy is verified using density functional theory.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleOptimising multi-frame ADF-STEM for high-precision atomic-resolution strain mappingnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber57-62nb_NO
dc.source.volume179nb_NO
dc.source.journalUltramicroscopynb_NO
dc.identifier.doi10.1016/j.ultramic.2017.04.007
dc.identifier.cristin1466108
dc.relation.projectNorges forskningsråd: 221714nb_NO
dc.relation.projectNORTEM: 197405nb_NO
dc.description.localcode© 2017. This is the authors’ accepted and refereed manuscript to the article. LOCKED until 15.4.2019 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/nb_NO
cristin.unitcode194,66,20,0
cristin.unitcode194,18,25,30
cristin.unitnameInstitutt for fysikk
cristin.unitnameSeksjon for bygg, geomatikk og realfag
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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