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13 October 2020 Open-source software for SEM metrology
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We present SMILE, an open source software for the characterization of line and space patterns in SEM images. SMILE has been developed to provide a metrology platform which is open-source and, as such, easy to customize to specific needs and simple to integrate into a chain of analysis. SMILE is used to measure CD, LWR and unbiased LWR. The software is currently available as MATLAB code and under development for open platforms such as Python or Octave. Here we describe the main features of the software, its structure and the algorithms used to perform line edge detection, LWR calculation and LWR unbiasing.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Iacopo Mochi, Michaela Vockenhuber, Timothée Allenet, and Yasin Ekinci "Open-source software for SEM metrology", Proc. SPIE 11518, Photomask Technology 2020, 115180G (13 October 2020);

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