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.
翻译:深层学习正在改变大多数科技领域,包括电子显微镜。本审查文件为熟悉程度有限的开发者提供了一个实用视角。在上下文中,我们审视电子显微镜中深层学习的普及应用。之后,我们讨论以深层学习和与电子显微镜接口启动所需的硬件和软件。然后我们审视神经网络组件、流行建筑及其优化。最后,我们讨论电子显微镜中深层学习的未来方向。