Automatic correction of nonlinear damping effects in HAADF–STEM tomography for nanomaterials of discrete compositions

Zhichao Zhong, Richard Aveyard, Bernd Rieger, Sara Bals, Willem Jan Palenstijn, K. Joost Batenburg

    Research output: Contribution to journalArticleScientificpeer-review

    6 Citations (Scopus)
    16 Downloads (Pure)

    Abstract

    HAADF-STEM tomography is a common technique for characterizing the three-dimensional morphology of nanomaterials. In conventional tomographic reconstruction algorithms, the image intensity is assumed to be a linear projection of a physical property of the specimen. However, this assumption of linearity is not completely valid due to the nonlinear damping of signal intensities. The nonlinear damping effects increase w.r.t the specimen thickness and lead to so-called “cupping artifacts”, due to a mismatch with the linear model used in the reconstruction algorithm. Moreover, nonlinear damping effects can strongly limit the applicability of advanced reconstruction approaches such as Total Variation Minimization and discrete tomography. In this paper, we propose an algorithm for automatically correcting the nonlinear effects and the subsequent cupping artifacts. It is applicable to samples in which chemical compositions can be segmented based on image gray levels. The correction is realized by iteratively estimating the nonlinear relationship between projection intensity and sample thickness, based on which the projections are linearized. The correction and reconstruction algorithms are tested on simulated and experimental data.

    Original languageEnglish
    Pages (from-to)57-65
    Number of pages9
    JournalUltramicroscopy
    Volume184
    DOIs
    Publication statusPublished - 2018

    Fingerprint Dive into the research topics of 'Automatic correction of nonlinear damping effects in HAADF–STEM tomography for nanomaterials of discrete compositions'. Together they form a unique fingerprint.

    Cite this