Journal
MACHINE LEARNING-SCIENCE AND TECHNOLOGY
Volume 2, Issue 1, Pages -Publisher
IOP Publishing Ltd
DOI: 10.1088/2632-2153/abd614
Keywords
deep learning; electron microscopy; review
Categories
Funding
- EPSRC [EP/N035437/1, 1917382]
- EPSRC [EP/N035437/1] Funding Source: UKRI
Ask authors/readers for more resources
This review paper provides a practical perspective on the applications and future directions of deep learning in electron microscopy for developers with limited familiarity. It reviews popular applications, necessary hardware and software, neural network components, architectures, optimization, and future directions.
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. Following, 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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available
Share Paper
