Systematic Multidimensional Quantification of Nanoscale Systems from Bimodal Atomic Force Microscopy Data

Chia Yun Lai, Sergio Santos, Matteo Chiesa

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

Here we explore the raw parameter space in air in bimodal atomic force microscopy (AFM) in order to enhance resolution, provide multiparameter maps, and produce suitable transformations that lead to physically intuitive maps general enough to be recognized by the broader community, i.e., stiffness, Hamaker constant, and adhesion force. We further consider model free transforms to enhance the raw parameter space in the form of alternative and more intelligible contrast maps. We employ highly oriented pyrolytic graphite, calcite, polypropylene, and dsDNA on mica to demonstrate a systematic form of parameter expansion. The proposed methodology to enhance and interpret a larger parameter space introduces a methodology to tractable multidimensional AFM from raw bimodal AFM maps.

Original languageBritish English
Pages (from-to)6265-6272
Number of pages8
JournalACS Nano
Volume10
Issue number6
DOIs
StatePublished - 28 Jun 2016

Keywords

  • AFM
  • bimodal
  • multiparametric
  • small oscillation
  • transformation

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