Improved deep learning-based macromolecules structure classification from electron cryo-tomograms.

ABSTRACT: Cellular processes are governed by macromolecular complexes inside the cell. Study of the native structures of macromolecular complexes has been extremely difficult due to lack of data. With recent breakthroughs in Cellular Electron Cryo-Tomography (CECT) 3D imaging technology, it is now possible for researchers to gain accesses to fully study and understand the macro-molecular structures single cells. However, systematic recovery of macromolecular structures from CECT is very difficult due to high degree of structural complexity and practical imaging limitations. Specifically, we proposed a deep learning-based image classification approach for large-scale systematic macromolecular structure separation from CECT data. However, our previous work was only a very initial step toward explorati

SUBMITTER: Che C 

PROVIDER: S-EPMC6738941 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature