Overcoming the preferred orientation problem in cryoEM with self-supervised deep-learning
Y. Liu, H. Fan, J. Hu, Z. H. Zhou
This paper introduces spIsoNet, a deep-learning tool that improves 3D reconstruction isotropy and particle alignment in cryoEM by addressing the preferred orientation problem without altering specimen preparation.
bioRxiv · Apr 11, 2024 · PreprintBiophysics