Three-Dimensional Characterization of Iron Oxide (alpha-Fe2O3) Nanoparticles: Application of a Compressed Sensing Inspired Reconstruction Algorithm to Electron Tomography

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dc.contributorVirginia Techen
dc.contributor.authorMonsegue, N.en
dc.contributor.authorJin, X.en
dc.contributor.authorEchigo, T.en
dc.contributor.authorWang, G.en
dc.contributor.authorMurayama, Mitsuhiroen
dc.date.accessed2014-07-15en
dc.date.accessioned2014-07-21T15:49:40Zen
dc.date.available2014-07-21T15:49:40Zen
dc.date.issued2012-12en
dc.description.abstractIn this article, we demonstrate the application of a new compressed sensing three-dimensional reconstruction algorithm for electron tomography that increases the accuracy of morphological characterization of nanostructured materials such as nanocrystalline iron oxide particles. A powerful feature of the algorithm is an anisotropic total variation norm for the L1 minimization during algebraic reconstruction that effectively reduces the elongation artifacts caused by limited angle sampling during electron tomography. The algorithm provides faithful morphologies that have not been feasible with existing techniques.en
dc.description.sponsorshipU.S. Department of Energy Grant DE-FG02-06ER15786en
dc.description.sponsorshipJapan Society for the Promotion of Science, Research Fellowships for Young Scientists (PD20-1531)en
dc.description.sponsorshipJapan Excellent Young Researcher Overseas Visit Programen
dc.identifier.citationMonsegue, N.; Jin, X.; Echigo, T.; Wang, G.; Murayama, M., "Three-Dimensional Characterization of Iron Oxide (alpha-Fe2O3) Nanoparticles: Application of a Compressed Sensing Inspired Reconstruction Algorithm to Electron Tomography," Microsc. Microanal. 18, 1362-1367, 2012. DOI: 10.1017/s1431927612013530en
dc.identifier.doihttps://doi.org/10.1017/s1431927612013530en
dc.identifier.issn1431-9276en
dc.identifier.urihttp://hdl.handle.net/10919/49644en
dc.identifier.urlhttp://journals.cambridge.org/action/displayFulltext?type=1&fid=8788485&jid=MAM&volumeId=18&issueId=06&aid=8788483&bodyId=&membershipNumber=&societyETOCSession=en
dc.language.isoen_USen
dc.publisherCambridge University Pressen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectcomputed tomographyen
dc.subjectstemen
dc.subjectcompressed sensingen
dc.subject3d reconstructionen
dc.subjectquantificationen
dc.subjecthematiteen
dc.subjectmaterials science, multidisciplinaryen
dc.subjectmicroscopyen
dc.titleThree-Dimensional Characterization of Iron Oxide (alpha-Fe2O3) Nanoparticles: Application of a Compressed Sensing Inspired Reconstruction Algorithm to Electron Tomographyen
dc.title.serialMicroscopy and Microanalysisen
dc.typeArticle - Refereeden

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