Computational methods for in situ structural studies with cryogenic electron tomography.
Front Cell Infect Microbiol
; 13: 1135013, 2023.
Article
em En
| MEDLINE
| ID: mdl-37868346
ABSTRACT
Cryo-electron tomography (cryo-ET) plays a critical role in imaging microorganisms in situ in terms of further analyzing the working mechanisms of viruses and drug exploitation, among others. A data processing workflow for cryo-ET has been developed to reconstruct three-dimensional density maps and further build atomic models from a tilt series of two-dimensional projections. Low signal-to-noise ratio (SNR) and missing wedge are two major factors that make the reconstruction procedure challenging. Because only few near-atomic resolution structures have been reconstructed in cryo-ET, there is still much room to design new approaches to improve universal reconstruction resolutions. This review summarizes classical mathematical models and deep learning methods among general reconstruction steps. Moreover, we also discuss current limitations and prospects. This review can provide software and methods for each step of the entire procedure from tilt series by cryo-ET to 3D atomic structures. In addition, it can also help more experts in various fields comprehend a recent research trend in cryo-ET. Furthermore, we hope that more researchers can collaborate in developing computational methods and mathematical models for high-resolution three-dimensional structures from cryo-ET datasets.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Vírus
/
Tomografia com Microscopia Eletrônica
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article