Surface channeling in aberration-corrected scanning transmission electron microscopy of nanostructures

Jingyue Liu, Lawrence F. Allard

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The aberration-corrected scanning transmission electron microscope can provide information on nanostructures with sub-Ångström image resolution. The relatively intuitive interpretation of high-angle annular dark-field (HAADF) imaging technique makes it a popular tool to image a variety of samples and finds broad applications to characterizing nanostructures, especially when combined with electron energy-loss spectroscopy and X-ray energy-dispersive spectroscopy techniques. To quantitatively interpret HAADF images, however, requires full understanding of the various types of signals that contribute to the HAADF image contrast. We have observed significant intensity enhancement in HAADF images, and large expansion of lattice spacings, of surface atoms of atomically flat ZnO surfaces. The surface-resonance channeling effect, one of the electron-beam channeling phenomena in crystalline nanostructures, was invoked to explain the observed image intensity enhancement. A better understanding of the effect of electron beam channeling along surfaces or interfaces on HAADF image contrast may have implications for quantifying HAADF images and may provide new routes to utilize the channeling phenomenon to study surface structures with sub-Ångström spatial resolution.

Original languageEnglish (US)
Pages (from-to)425-433
Number of pages9
JournalMicroscopy and Microanalysis
Volume16
Issue number4
DOIs
StatePublished - Aug 1 2010
Externally publishedYes

Keywords

  • HAADF
  • STEM
  • ZnO
  • aberration-free electron microscope
  • channeling
  • electron microscope
  • nanostructure
  • surface

ASJC Scopus subject areas

  • Instrumentation

Fingerprint

Dive into the research topics of 'Surface channeling in aberration-corrected scanning transmission electron microscopy of nanostructures'. Together they form a unique fingerprint.

Cite this