Pipeline for particle picking in cryo-electron microscopy images using convolutional neural networks trained from positive and unlabeled examples. Also featuring micrograph and tomogram denoising with ...
This study follows up on Arimura et al's powerful new method MagIC-Cryo-EM for imaging native complexes at high resolution. Using a clever design embedding protein spacers between the antibody and the ...
CryoDRGN has proven a powerful deep learning method for heterogeneity analysis in single particle cryo-EM. In particular, the method models a continuous distribution ... heterogeneity from datasets in ...