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Review: Deep Learning in Electron Microscopy
September 17, 2020 Β· Declared Dead Β· π Machine Learning: Science and Technology
"No code URL or promise found in abstract"
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Authors
Jeffrey M. Ede
arXiv ID
2009.08328
Category
eess.IV: Image & Video Processing
Cross-listed
cond-mat.mtrl-sci,
cs.CV,
cs.LG
Citations
94
Venue
Machine Learning: Science and Technology
Last Checked
3 months ago
Abstract
Deep learning is transforming most areas of science and technology, including electron microscopy. This review paper offers a practical perspective aimed at developers with limited familiarity. For context, we review popular applications of deep learning in electron microscopy. Afterwards, we discuss hardware and software needed to get started with deep learning and interface with electron microscopes. We then review neural network components, popular architectures, and their optimization. Finally, we discuss future directions of deep learning in electron microscopy.
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