Evidence map›Paper›PMID 38072910›Full record

ArticleNature communications2023

A minority of final stacks yields superior amplitude in single-particle cryo-EM.

Jianying Zhu, Qi Zhang, Hui Zhang, Zuoqiang Shi, Mingxu Hu, Chenglong Bao

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

  1. Cryo-EM structure of human NaNature communications · 2026
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  7. Egyptian rousette bat humoral immunity to H9 influenza hemagglutinin.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Absolute hand determination of glycofibrils from natural sources in cryo-EM.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  14. Capturing the native structure of membrane proteins using vesicles.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  18. Amortized template matching of molecular conformations from cryoelectron microscopy images using simulation-based inference.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  19. Reducing the effects of radiation damage in cryo-EM using liquid helium temperatures.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jianying Zhu *Yau Mathematical Sciences Center, Tsinghua University, Beijing, China.
Qi Zhang *Key Laboratory of Protein Sciences (Tsinghua University), Ministry of Education, Beijing, China.
Hui ZhangQiuzhen College, Tsinghua University, Beijing, China.
Zuoqiang ShiYau Mathematical Sciences Center, Tsinghua University, Beijing, China. zqshi@tsinghua.edu.cn.
Mingxu HuKey Laboratory of Protein Sciences (Tsinghua University), Ministry of Education, Beijing, China. humingxu@smart.org.cn.ORCID 0000-0003-3603-3966
Chenglong BaoYau Mathematical Sciences Center, Tsinghua University, Beijing, China. clbao@tsinghua.edu.cn.ORCID 0000-0002-1201-1212

Funding

National Natural Science Foundation of China (National Science Foundation of China) 1207124National Natural Science Foundation of China (National Science Foundation of China) 12271291
6 · The paper itself

Abstract

Cryogenic electron microscopy (cryo-EM) is widely used to determine near-atomic 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 minimum number 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.

Indexed as

AlgorithmsSingle Molecule ImagingCryoelectron MicroscopyMacromolecular SubstancesMacromolecular Substances

Identifiers

PMID38072910
PMCPMC10711021

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.