Geometric reconstruction methods for electron tomography

Andreas Alpers, Richard J. Gardner, Stefan König, Robert S. Pennington, Chris Boothroyd, Lothar Houben, Rafal E. Dunin-Borkowski, Kees Joost Batenburg

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    Electron tomography is becoming an increasingly important tool in materials science for studying the three-dimensional morphologies and chemical compositions of nanostructures. The image quality obtained by many current algorithms is seriously affected by the problems of missing wedge artefacts and non-linear projection intensities due to diffraction effects. The former refers to the fact that data cannot be acquired over the full 180° tilt range; the latter implies that for some orientations, crystalline structures can show strong contrast changes. To overcome these problems we introduce and discuss several algorithms from the mathematical fields of geometric and discrete tomography. The algorithms incorporate geometric prior knowledge (mainly convexity and homogeneity), which also in principle considerably reduces the number of tilt angles required. Results are discussed for the reconstruction of an InAs nanowire.
    Original languageEnglish
    JournalUltramicroscopy
    Volume128
    Pages (from-to)42-54
    ISSN0304-3991
    DOIs
    Publication statusPublished - 2013

    Keywords

    • Electron tomography
    • Reconstruction algorithms
    • Convexity
    • Homogeneity
    • InAs nanowires

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