High-throughput cryo-ET structural pattern mining by unsupervised deep iterative subtomogram clustering.
Sign Up to like & getrecommendations! Published in 2023 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2213149120
Abstract: Cryoelectron tomography directly visualizes heterogeneous macromolecular structures in their native and complex cellular environments. However, existing computer-assisted structure sorting approaches are low throughput or inherently limited due to their dependency on available templates and manual… read more here.
Keywords: iterative subtomogram; unsupervised deep; deep iterative; high throughput ... See more keywords
DIOR: Deep Iterative Optimization-Based Residual-Learning for Limited-Angle CT Reconstruction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3148110
Abstract: Limited-angle CT is a challenging problem in real applications. Incomplete projection data will lead to severe artifacts and distortions in reconstruction images. To tackle this problem, we propose a novel reconstruction framework termed Deep Iterative… read more here.
Keywords: iterative optimization; based residual; limited angle; deep iterative ... See more keywords