2023Zhu CryoSieve

From 3DEM-Methods
Revision as of 06:01, 30 July 2024 by WikiSysop (talk | contribs) (Created page with "== Citation == Zhu, Jianying / Zhang, Qi / Zhang, Hui / Shi, Zuoqiang / Hu, Mingxu / Bao, Chenglong. A minority of final stacks yields superior amplitude in single-particle cryo-EM. 2023. Nature Communications, Vol. 14, No. 1, p. 7822 == Abstract == Cryogenic electron microscopy (cryo-EM) is widely used to determine nearatomic resolution structures of biological macromolecules. Due to the low signal-to-noise ratio, cryo-EM relies on averaging many images. However, a c...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

Citation

Zhu, Jianying / Zhang, Qi / Zhang, Hui / Shi, Zuoqiang / Hu, Mingxu / Bao, Chenglong. A minority of final stacks yields superior amplitude in single-particle cryo-EM. 2023. Nature Communications, Vol. 14, No. 1, p. 7822

Abstract

Cryogenic electron microscopy (cryo-EM) is widely used to determine nearatomic resolution structures of biological macromolecules. Due to the low signal-to-noise ratio, cryo-EM relies on averaging many images. However, a crucial question in the field of cryo-EM remains unanswered: how close can we get to the minimumnumber of particles required to reach a specific resolution in practice? The absence of an answer to this question has impeded progress in understanding sample behavior and the performance of sample preparation methods. To address this issue, we develop an iterative particle sorting and/or sieving method called CryoSieve. Extensive experiments demonstrate that CryoSieve outperforms other cryo-EM particle sorting algorithms, revealing that most particles are unnecessary in final stacks. The minority of particles remaining in the final stacks yield superior high-resolution amplitude in reconstructed density maps. For some datasets, the size of the finest subset approaches the theoretical limit.

Keywords

Links

https://www.nature.com/articles/s41467-023-43555-x

Related software

Related methods

Comments