No CrossRef data available.
Article contents
Real-time, On-Microscope Automated Quantification of Features in Microcopy Experiments Using Machine Learning and Edge Computing
Published online by Cambridge University Press: 22 July 2022
Abstract
An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
- Type
- Correlative Microscopy and High-Throughput Characterization for Accelerated Development of Materials in Extreme Environments
- Information
- Copyright
- Copyright © Microscopy Society of America 2022
References
Li, W, Field, KG and Morgan, D., Npj Computational Materials 4 (2018) p. 36. https://doi.org/10.1038/s41524-018-0093-8.CrossRefGoogle Scholar
Shen, M et al. , Computational Materials Science. 197 (2021) p. 110560. https://doi.org/10.1016/j.commatsci.2021.110560.CrossRefGoogle Scholar
Jacobs, R et al. , Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs, (2021). https://arxiv.org/abs/2110.08244v1 (accessed October 27, 2021).Google Scholar
Shen, M et al. , Computational Materials Science 199 (2021), p. 110576. https://doi.org/10.1016/J.COMMATSCI.2021.110576.CrossRefGoogle Scholar
Field, KG et al. , Microscopy and Microanalysis 27 (2021), p. 2136. https://doi.org/10.1017/S1431927621007704.CrossRefGoogle Scholar
Roberts, G et al. , Scientific Reports 9 (2019), p. 12744. https://doi.org/10.1038/s41598-019-49105-0.CrossRefGoogle Scholar
Anderson, CM et al. , Automated Classification of Helium Ingress in Irradiated X-750, ArXiv:1912.04252. (2019) p. 1.Google Scholar
Taller, S, Scime, L and Terrani, K, Microscopy and Microanalysis 27 (2021) p. 3110. https://doi.org/10.1017/S143192762101076X.CrossRefGoogle Scholar
Field, C. and Field, K., System and method for multi-modal microscopy, Provisional Patent Filed, 2021.Google Scholar
This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences under Award Number DE-SC0021529 and U.S. Department of Energy, Office of Science, Office of Nuclear Energy under Award Number DE-SC0021936. Additional support for K.G.F., D.M. and R.J. was provided by Idaho National Laboratory as part of the Department of Energy (DOE) Office of Nuclear Energy, Nuclear Materials Discovery and Qualification Initiative (NMDQi). The authors would like to thank Dr. Yukinori Yamamoto of Oak Ridge National Laboratory for provision of the bulk sample used to develop microscopy samples for Fig. 1b-c.Google Scholar
You have
Access