• DocumentCode
    3687908
  • Title

    Innovative data treatment routines for atomic force microscopy force curves

  • Author

    Rami Klaimi;Karim El Kirat

  • Author_Institution
    Sorbonne University, Université
  • fYear
    2015
  • Firstpage
    234
  • Lastpage
    237
  • Abstract
    The atomic force microscopy (AFM) is an important innovation in the sample imaging fields, the signals extracted from the AFM such as the force as function of the indentation and the friction as function of the indentation can be used to extract many chemical and mechanical properties of the sample. Nanoscientists analyze these signals manually; the aim of this article is to find new algorithms to automatically analyze AFM signals.
  • Keywords
    "Force","Nanobioscience","Wavelet transforms","Friction","Algorithm design and analysis","Biomedical engineering","Microscopy"
  • Publisher
    ieee
  • Conference_Titel
    Advances in Biomedical Engineering (ICABME), 2015 International Conference on
  • ISSN
    2377-5688
  • Electronic_ISBN
    2377-5696
  • Type

    conf

  • DOI
    10.1109/ICABME.2015.7323295
  • Filename
    7323295