DeepPicker: a Deep Learning Approach for Fully Automated Particle Picking in Cryo-EM

@article{Wang2016DeepPickerAD,
  title={DeepPicker: a Deep Learning Approach for Fully Automated Particle Picking in Cryo-EM},
  author={Feng Wang and Huichao Gong and Gaochao liu and Meijing Li and C. Yan and Tian Xia and X. Li and Jianyang Zeng},
  journal={Journal of structural biology},
  year={2016},
  volume={195 3},
  pages={
          325-336
        }
}
Particle picking is a time-consuming step in single-particle analysis and often requires significant interventions from users, which has become a bottleneck for future automated electron cryo-microscopy (cryo-EM. [...] Key Result Tests on the recently-published cryo-EM data of three complexes have demonstrated that our deep learning based scheme can successfully accomplish the human-level particle picking process and identify a sufficient number of particles that are comparable to those picked manually by…Expand
100 Citations
DeepCryoPicker: Fully Automated Deep Neural Network for Single Protein Particle Picking in cryo-EM
  • 4
DeepCryoPicker: fully automated deep neural network for single protein particle picking in cryo-EM
  • Highly Influenced
  • PDF
AutoCryoPicker: an unsupervised learning approach for fully automated single particle picking in Cryo-EM images
  • 4
A Self-Supervised Workflow for Particle Picking in Cryo-EM
  • 2
  • PDF
DRPnet - Automated Particle Picking in Cryo-Electron Micrographs using Deep Regression
  • 2
  • Highly Influenced
  • PDF
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 63 REFERENCES
Automatic post-picking using MAPPOS improves particle image detection from Cryo-EM micrographs
  • 28
  • PDF
Review: automatic particle detection in electron microscopy.
  • 120
  • PDF
Automatic particle selection from electron micrographs using machine learning techniques.
  • 57
Automatic particle selection: results of a comparative study.
  • 143
  • PDF
RELION: Implementation of a Bayesian approach to cryo-EM structure determination
  • S. Scheres
  • Computer Science, Medicine
  • Journal of structural biology
  • 2012
  • 3,046
  • PDF
...
1
2
3
4
5
...