Document Detail

Automated quantitative 3D analysis of faceting of particles in tomographic datasets.
MedLine Citation:
PMID:  23010665     Owner:  NLM     Status:  Publisher    
Characterization of facets of particles is a common problem. In this paper an algorithm is presented which allows automated quantitative 3D analysis of facets of many particles within tomographic datasets. The algorithm is based on the analysis of probability distributions of the orientations of triangle normals of mesh representations. The result consists of lists containing number of detected facets, their size, global orientation and the interplanar angles between facets for each analyzed particle. Characterization of each particle according to any of these facet properties is then possible, e.g. statistics about different crystal shapes or removal of particles that do not show significant faceting. Analyses of a 3D dataset obtained by focused ion beam (FIB) tomography of a sample containing spinel particles are presented.
Roman Grothausmann; Sebastian Fiechter; Richard Beare; Gaëtan Lehmann; Holger Kropf; Goarke Sanjeeviah Vinod Kumar; Ingo Manke; John Banhart
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-8-1
Journal Detail:
Title:  Ultramicroscopy     Volume:  122C     ISSN:  1879-2723     ISO Abbreviation:  Ultramicroscopy     Publication Date:  2012 Aug 
Date Detail:
Created Date:  2012-9-26     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7513702     Medline TA:  Ultramicroscopy     Country:  -    
Other Details:
Languages:  ENG     Pagination:  65-75     Citation Subset:  -    
Copyright Information:
Copyright © 2012 Elsevier B.V. All rights reserved.
Helmholtz-Zentrum Berlin (HZB), Hahn-Meitner-Platz 1, 14109 Berlin, Germany. Electronic address:
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