.png){kind=icon}
Return
Current data processing strategies for cryo-electron and
.png){kind=icon}
OA
AI
DOI：10.1042/BCJ20200715.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Cryo-electron tomography (cryo-ET) can be used to reconstruct three-dimensional (3D) volumes, or tomograms, from a series of tilted two-dimensional images of biological objects in their near-native states in situ or in vitro. 3D subvolumes, or subtomograms, containing particles of interest can be extracted from tomograms, aligned, and averaged in a process called subtomogram averaging (STA). STA overcomes the low signal to noise ratio within the individual subtomograms to generate structures of the particle(s) of interest. In recent years, cryo-ET with STA has increasingly been capable of reaching subnanometer resolution due to improvements in microscope hardware and data processing strategies. There has also been an increase in the number and quality of software packages available to process cryo-ET data with STA. In this review, we describe and assess the data processing strategies available for cryo-ET data and highlight the recent software developments which have enabled the extraction of high-resolution information from cryo-ET datasets.
Keywords:
BEAM-INDUCED MOTION
TILT-SERIES ALIGNMENT
CRYO-EM
STRUCTURAL BIOLOGY
BAYESIAN-APPROACH
IMAGE ALIGNMENT
TOMOGRAPHY
CLASSIFICATION
RECONSTRUCTION
IMPLEMENTATION
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.3
Papers:
1.5W
Citations:
3.8W
Organization
Cited Papers
Subnanometer-resolution structure determination in situ by hybrid subtomogram averaging - single particle cryo-EM.png)
NATURE COMMUNICATIONSOAAI
NATURE COMMUNICATIONSIF15.7
OAAIShareSaveShareSave
ShareSaveShareSave
View more