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
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"
Conference_Titel :
Enabling Science and Nanotechnology (ESciNano), 2012 International Conference on
Print_ISBN :
978-1-4577-0799-5
DOI :
10.1109/ESciNano.2012.6149702