2022
DOI: 10.1017/s1431927622005086
|View full text |Cite
|
Sign up to set email alerts
|

Second-order Total Variation for Compressed Sensing Cryo-ET and Subtomogram Averaging

Abstract: Cryo-electron tomography (cryo-ET) is a key tool for imaging macromolecules in cellular environments. Together with subtomogram averaging (STA), cryo-ET can be used for structure determination. Weak visibility of many structures in cryo-ET as well as the volume of data required for STA, however, motivate the exploration of advanced image processing for cryo-ET. Compressed sensing is a mathematically rigorous signal processing approach to sampling with far fewer measurements than traditionally required, with si… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 8 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?