An Improved Correlation Method Based on Rotation Invariant Feature for Automatic Particle Selection

@inproceedings{Chen2014AnIC,
  title={An Improved Correlation Method Based on Rotation Invariant Feature for Automatic Particle Selection},
  author={Yu Chen and Fei Ren and Xiaohua Wan and Xuan Wang and Fa Zhang},
  booktitle={ISBRA},
  year={2014}
}
Particle selection from cryo-electron microscopy (cryo-EM) images is very important for high-resolution reconstruction of macromolecular structure. However, the accuracy of existing selection methods are normally restricted to noise and low contrast of cryo-EM images. In this paper, we presented an improved correlation method based on rotation invariant features for automatic, fast particle selection. We first selected a preliminary particle set applying rotation invariant features, then… 
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