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dc.contributor.authorJones, Lewys
dc.date.accessioned2023-05-12T12:40:24Z
dc.date.available2023-05-12T12:40:24Z
dc.date.issued2023
dc.date.submitted2023en
dc.identifier.citationGregory Nordahl, Lewys Jones, Emil Frang Christiansen, Kasper Aas Hunnestad, Magnus Nord, 'Correcting for probe wandering by precession path segmentation', Ultramicroscopy, 2023, 248, 113715en
dc.identifier.otherY
dc.identifier.urihttp://hdl.handle.net/2262/102616
dc.descriptionPUBLISHEDen
dc.description.abstractPrecession electron diffraction has in the past few decades become a powerful technique for structure solving, strain analysis, and orientation mapping, to name a few. One of the benefits of precessing the electron beam, is increased reciprocal space resolution, albeit at a loss of spatial resolution due to an effect referred to as ‘probe wandering’. Here, a new methodology of precession path segmentation is presented to counteract this effect and increase the resolution in reconstructed virtual images from scanning precession electron diffraction data. By utilizing fast pixelated electron detector technology, multiple frames are recorded for each azimuthal rotation of the beam, allowing for the probe wandering to be corrected in post-acquisition processing. Not only is there an apparent increase in the resolution of the reconstructed images, but probe wandering due to instrument misalignment is reduced, potentially easing an already difficult alignment procedure.en
dc.format.extent113715en
dc.language.isoenen
dc.relation.ispartofseriesUltramicroscopy;
dc.relation.ispartofseries248;
dc.rightsYen
dc.subjectElectron diffractionen
dc.subjectPrecessionen
dc.subjectAberrationsen
dc.subjectAlignmenten
dc.titleCorrecting for probe wandering by precession path segmentationen
dc.typeJournal Articleen
dc.contributor.sponsorScience Foundation Irelanden
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/jonesl1
dc.identifier.rssinternalid248383
dc.identifier.doihttps://doi.org/10.1016/j.ultramic.2023.113715
dc.rights.ecaccessrightsopenAccess
dc.contributor.sponsorGrantNumberURF/RI/191637en
dc.identifier.orcid_id0000-0002-6907-0731


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