A unified framework for packing deformable and non-deformable subcellular structures in crowded cryo-electron tomogram simulation.

ABSTRACT:

Background

Cryo-electron tomography is an important and powerful technique to explore the structure, abundance, and location of ultrastructure in a near-native state. It contains detailed information of all macromolecular complexes in a sample cell. However, due to the compact and crowded status, the missing edge effect, and low signal to noise ratio (SNR), it is extremely challenging to recover such information with existing image processing methods. Cryo-electron tomogram simulation is an effective solution to test and optimize the performance of the above image processing methods. The simulated images could be regarded as the labeled data which covers a wide range of macromolecular complexes and ultrastructure. To approximate the crowded cellular environment, it is very importan

SUBMITTER: Liu S 

PROVIDER: S-EPMC7488303 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature