Analysis of HRTEM images for carbon nanostructure quantification

Randy L. Vander Wal, Aaron J. Tomasek, Michael I. Pamphlet, Christina D. Taylor, William K. Thompson

Research output: Contribution to journalArticlepeer-review

190 Scopus citations


Image processing algorithms have been developed to extract fringe length, tortuosity and separation from high resolution transmission electron microscopy images. To validate the separation algorithm, a comparison is made between the image-based fringe separation and that obtained by analysis of X-ray diffraction data for a progressively heat-treated carbon black. Agreement is favorable. To illustrate the utility of the analysis parameters for a range of carbon nanostructures, analysis is applied to a series of pyrolytically prepared carbon soots - qualitatively described as containing amorphous, graphitic or fullerenic nanostructure. For all processing, the intermediate image, in the form of a skeletonized binary image of the original high resolution transmission electron micrograph, is shown and found to accurately reflect the nanostructural organization within the carbon as visually observed. Statistical results for each analysis parameter, extracted from the binary images, are presented in the form of histograms and quantitatively distinguish the different carbon nanostructures.

Original languageEnglish (US)
Pages (from-to)555-568
Number of pages14
JournalJournal of Nanoparticle Research
Issue number6
StatePublished - Dec 2004

All Science Journal Classification (ASJC) codes

  • Bioengineering
  • General Chemistry
  • Atomic and Molecular Physics, and Optics
  • Modeling and Simulation
  • General Materials Science
  • Condensed Matter Physics


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