Recent developments in automated single-particle selection

被引：2
|
作者：
Wagner, Thorsten [1 ]
Raunser, Stefan [1 ]
机构：
[1] Max Planck Inst Mol Physiol, Dept Struct Biochem, Dortmund, Germany
来源：
NATURE REVIEWS METHODS PRIMERS | 2022年 / 2卷 / 01期
关键词：
D O I：
10.1038/s43586-022-00105-x
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Automated single-particle picking in electron cryo-microscopy data has seen important advances in the past couple of years and now enables computer-assisted particle selection even for challenging datasets. These advances have implications for streamlined and automated image processing, with potential benefits for improving the resolution of resulting structures.
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页数：2
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