Presentation + Paper
28 March 2017 Designed tools for analysis of lithography patterns and nanostructures
Alexandre Dervillé, Julien Baderot, Guilhem Bernard, Johann Foucher, Hanna Grönqvist, Aurélien Labrosse, Sergio Martinez, Yann Zimmermann
Author Affiliations +
Abstract
We introduce a set of designed tools for the analysis of lithography patterns and nano structures. The classical metrological analysis of these objects has the drawbacks of being time consuming, requiring manual tuning and lacking robustness and user friendliness. With the goal of improving the current situation, we propose new image processing tools at different levels: semi automatic, automatic and machine-learning enhanced tools. The complete set of tools has been integrated into a software platform designed to transform the lab into a virtual fab. The underlying idea is to master nano processes at the research and development level by accelerating the access to knowledge and hence speed up the implementation in product lines.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alexandre Dervillé, Julien Baderot, Guilhem Bernard, Johann Foucher, Hanna Grönqvist, Aurélien Labrosse, Sergio Martinez, and Yann Zimmermann "Designed tools for analysis of lithography patterns and nanostructures", Proc. SPIE 10145, Metrology, Inspection, and Process Control for Microlithography XXXI, 101450I (28 March 2017); https://doi.org/10.1117/12.2258612
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KEYWORDS
Carbon nanotubes

Lithography

Edge detection

Machine learning

Analytical research

Image processing

Line edge roughness

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