Fine-grained alignment of cryo-electron subtomograms based on MPI parallel optimization.

ABSTRACT:

Background

Cryo-electron tomography (Cryo-ET) is an imaging technique used to generate three-dimensional structures of cellular macromolecule complexes in their native environment. Due to developing cryo-electron microscopy technology, the image quality of three-dimensional reconstruction of cryo-electron tomography has greatly improved. However, cryo-ET images are characterized by low resolution, partial data loss and low signal-to-noise ratio (SNR). In order to tackle these challenges and improve resolution, a large number of subtomograms containing the same structure needs to be aligned and averaged. Existing methods for refining and aligning subtomograms are still highly time-consuming, requiring many computationally intensive processing steps (i.e. the rotations and translatio

SUBMITTER: Lu Y 

PROVIDER: S-EPMC6712796 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature