Master Student Internship in Nanowires density calculation based on SEM pictures: basic approach and automated processing with image processing software (M/F)

Reference : MRT-2018-Intern-004

Type: Intern
Contract type: Internship
Duration: 2-4 months
Place: Belvaux



The Department Materials Research and Technology (MRT) translates cutting-edge materials research into applicable technology. Its activities span from Nanomaterials and enabling Nanotechnology to Sustainable Composite Materials. A transversal Central Materials Laboratory mutualises MRT's considerable expertise and equipment ranging from polymer and thin film processing to nano-fabrication, prototyping and functional measurements. MRT's research is further strengthened by a Platform for Advanced Characterization. Finally, the Department operates a Technology line, which focuses on the development of scientific instruments based on charged particle beams for nano-imaging and nano-analysis.




Silver nanowires (Ag NWs) networks are emerging as one of the most promising alternatives to indium tin oxide (ITO) for transparent electrodes in flexible electronic devices. They can be used in a variety of optoelectronic applications such as solar cells, touch panels and organic light emitting diodes. Ag NWs are cheaper to fabricate than ITO and can be fast deposited as networks with spray method. In order to understand the effect of spray parameters on Ag NWs networks conductivity and transparency, the NWs density has to be determined thanks to scanning electron microscopy image analysis

The goal of this internship will be to investigate computer and mathematical methods to determined Ag NWs density with aspect ratio (AR) above 1000 (AR=L/D where L is NWs length and D is NWs diameter), where a challenge occurs when considering interconnected NWs. The trainee will start by analysing existing plugins for the Image J image processing software, as well as modifying existing plugins and programming automated processing routines. He/she will also investigate mathematical approaches based on the NWs geometry in order to simplify the programming challenges.





  • Bachelor (computer science, image processing)


  • Fluent English and/or French (spoken and written) is mandatory


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