Corpus ID: 214803078

Adaptive Partial Scanning Transmission Electron Microscopy with Reinforcement Learning

@article{Ede2020AdaptivePS,
  title={Adaptive Partial Scanning Transmission Electron Microscopy with Reinforcement Learning},
  author={Jeffrey M. Ede},
  journal={ArXiv},
  year={2020},
  volume={abs/2004.02786}
}
  • Jeffrey M. Ede
  • Published 2020
  • Mathematics, Computer Science, Engineering
  • ArXiv
  • Compressed sensing is applied to scanning transmission electron microscopy to decrease electron dose and scan time. However, established methods use static sampling strategies that do not adapt to samples. We have extended recurrent deterministic policy gradients to train deep LSTMs and differentiable neural computers to adaptively sample scan path segments. Recurrent agents cooperate with a convolutional generator to complete partial scans. We show that our approach outperforms established… CONTINUE READING

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