Published August 9, 2024 | Version 1.0.0
Software Open

Automated Indent Scanning: Artificial intelligence assisted scanning of large regular and irregular nanoindentation arrays in scanning electron microscopes

Authors/Creators

  • 1. ROR icon RWTH Aachen University

Contributors

  • 1. ROR icon RWTH Aachen University

Description

Recording larger arrays of indents is a tedious and time intensive task. This project aims to automate this process through the use of the Python API provided by the Tescan microscope (SharkSEM), simple automation scripts, and the use of object detection techniques (YOLO).

Files

automated_indent_scanning-1.0.0.zip

Files (47.1 MB)

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Additional details

Related works

Cites
Publication: arXiv:1506.02640 (arXiv)

Dates

Submitted
2024-08-09
Submission to Zenodo

Software

Repository URL
https://git.rwth-aachen.de/tom.reclik/automated_indent_scanning
Programming language
Python
Development Status
Active

References

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  • Yadan, O. (2019). Hydra - A framework for elegantly configuring complex applications. Retrieved from https://github.com/facebookresearch/hydra
  • Harris, C. R., Millman, K. J., van der Walt, S. J., Gommers, R., Virtanen, P., Cournapeau, D., … Oliphant, T. E. (2020). Array programming with NumPy. Nature, 585(7825), 357–362. doi:10.1038/s41586-020-2649-2
  • Team, T. P. D. (2020). pandas-dev/pandas: Pandas (Version latest). doi:10.5281/zenodo.3509134
  • Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T., Cournapeau, D., … SciPy 1.0 Contributors. (2020). SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python. Nature Methods, 17, 261–272. doi:10.1038/s41592-019-0686-2