• DocumentCode
    3645827
  • Title

    Graphene layer number determination from red-, green-, and blue-channel of optical images

  • Author

    Shaharin Fadzli Abd Rahman;Abd Manaf Hashim;Seiya Kasai

  • Author_Institution
    Faculty of electrical Engineering, Universiti Teknologi Malaysia, Malaysia
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Determination of graphene thickness is significant as graphene properties vary based on its layer number [1,2]. Common methods to determine layer number of graphene are Raman spectroscopy, Atomic Force Microscopy (AFM) and optical microcopy [3-5]. Although Raman and AFM offer precise characterization, these methods are time consuming and may also damage the graphene sample. On the other hand, optical microscopy is a simple and quick method. It also can be used for wide-area characterization by changing the magnification of objective lens. In this paper, layer number identification by a simple optical contrast method was demonstrated. Instead of using optical color filter, color contrast is calculated by extraction of the pixel value in red-, green and blue-channel from the captured graphene images.
  • Keywords
    "Optical filters","Optical imaging","Brightness","Image color analysis","Optical microscopy","Microscopy","Histograms"
  • Publisher
    ieee
  • Conference_Titel
    Enabling Science and Nanotechnology (ESciNano), 2012 International Conference on
  • Print_ISBN
    978-1-4577-0799-5
  • Type

    conf

  • DOI
    10.1109/ESciNano.2012.6149702
  • Filename
    6149702