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 work will be of high interest to a broad swathe of scientists studying native macromolecules present at low concentrations in cells. Cryo-EM single-particle analyses typically require target ...

In a groundbreaking development, researchers from the United States and Denmark have successfully captured 3D images of ...

The flexibility of RNA makes it notoriously challenging to study, as its structure can shift into numerous forms depending on ...

Using high-resolution cryo-electron microscopy researchers uncovered unprecedented detail of gyrase’s action on DNA.

In a groundbreaking development, researchers from the United States and Denmark have successfully captured 3D images of ...

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 ...