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To automatically estimate the surface area coverage of carbon nanotubes on thin film transistors with image analysis : Bachelor’s degree project report

This report discuss the developement of a MATLAB-based tool for the analysis ofsurface area coverage of carbon nanotube networks from atomic force microscopyimages. The tool was compared with a manual method and the conclusion was that ithas, at least, the same accuracy as the manual mehtod, and it needs much less time forthe analysis. The tool couldn’t analyze images of carbon nanotube networks if theimages were to noisy or the networks to dense. The tool can help in the research ofthin-film transistors with carbon nanotube networks as the semiconducting channelmaterial.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-157168
Date January 2011
CreatorsNoring, Martin
PublisherUppsala universitet, Institutionen för teknikvetenskaper
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess
RelationTVE ; 11031

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