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Reimagining the Data-Driven Microscopy Paradigm
Published online by Cambridge University Press: 30 July 2021
Abstract
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- Type
- Full System and Workflow Automation for Enabling Big Data and Machine Learning in Electron Microscopy
- Information
- Copyright
- Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America
References
Spurgeon, S. R., Ophus, C., Jones, L., Petford-Long, A., Kalinin, S. V, Olszta, M. J., Dunin-Borkowski, R. E., Salmon, N., Hattar, K., Yang, W. D., Sharma, R., Du, Y., Chiaramonti, A., Zheng, H., Buck, E. C., Kovarik, L., Penn, R. L., Li, D., Zhang, X., Murayama, M., and Taheri, M. L. (2020). Towards data-driven next-generation transmission electron microscopy. Nature Materials. https://doi.org/10.1038/s41563-020-00833-zGoogle Scholar
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