This work presents an investigation and optimization of the identification of graphene mono- and bilayers on various multilayer substrates. Instead of the mere contrast between substrate and substrate/mono/bilayer systems, weighted color differences are used to obtain optimum visibility. Our approach employs a genetic algorithm that allows finding the most appropriate composition of multilayer systems in terms of materials in use and their respective thicknesses. A major benefit of our approach is the possibility to qualify appropriate layer systems with respect to their manufacturability.
© 2012 Optical Society of America
Original Manuscript: July 8, 2011
Revised Manuscript: October 4, 2011
Manuscript Accepted: October 4, 2011
Published: January 20, 2012
Christopher Kontis, Marcel R. Mueller, Christian Kuechenmeister, Klaus T. Kallis, and Joachim Knoch, "Optimizing the identification of mono- and bilayer graphene on multilayer substrates," Appl. Opt. 51, 385-389 (2012)