Evidence map›Paper›PMID 42791405›Full record

ArticleNature methods2026

Control of ice thickness in cryo-EM via confinement.

Liming Zheng, Jiling Song, Xiaole Zhao, Jiacong Cao, Jie Xu, Zhengni Wang, Chenhui Zhang, Weiyu Sun, Buhang Chen, Xiaoyin Gao and 9 more

Abstract read
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In one paragraph

Article in Nature methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Liming Zheng *Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, China.ORCID http://orcid.org/0009-0008-3174-4922
Jiling Song *Ministry of Education Key Laboratory of Protein Sciences, Beijing Frontier Research Center for Biological Structures, Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing, China.ORCID http://orcid.org/0009-0007-9297-584X
Xiaole Zhao *Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, China.
Jiacong CaoState Key Laboratory for Turbulence and Complex System, School of Mechanics and Engineering Science, Peking University, Beijing, China.
Jie XuMinistry of Education Key Laboratory of Protein Sciences, Beijing Frontier Research Center for Biological Structures, Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing, China.
Zhengni WangMinistry of Education Key Laboratory of Protein Sciences, Beijing Frontier Research Center for Biological Structures, Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing, China.
Chenhui ZhangSchool of Biological Sciences, The University of Hong Kong, Hong Kong, China.
Weiyu SunBeijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, China.
Buhang ChenBeijing Graphene Institute (BGI), Beijing, China.
Xiaoyin GaoBeijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, China.
Haonan LiuKey Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, School of Electronics, Peking University, Beijing, China.
Junhao YangMinistry of Education Key Laboratory of Protein Sciences, Beijing Frontier Research Center for Biological Structures, Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing, China.
Yu XuTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.
Luzhao SunBeijing Graphene Institute (BGI), Beijing, China.ORCID http://orcid.org/0000-0003-0518-0744
Zhaohe DaiState Key Laboratory for Turbulence and Complex System, School of Mechanics and Engineering Science, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-5205-089X
Xiaoding WeiState Key Laboratory for Turbulence and Complex System, School of Mechanics and Engineering Science, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-5173-4923
Nan LiuSchool of Biological Sciences, The University of Hong Kong, Hong Kong, China. nanliu@hku.hk.ORCID http://orcid.org/0000-0003-4102-2428
Hailin PengBeijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, China. hlpeng@pku.edu.cn.ORCID http://orcid.org/0000-0003-1569-0238
Hong-Wei WangMinistry of Education Key Laboratory of Protein Sciences, Beijing Frontier Research Center for Biological Structures, Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing, China. hongweiwang@tsinghua.edu.cn.ORCID http://orcid.org/0000-0001-9494-8780

Funding

National Natural Science Foundation of China (National Science Foundation of China) 12325202National Natural Science Foundation of China (National Science Foundation of China) 12432003National Natural Science Foundation of China (National Science Foundation of China) 22402007National Natural Science Foundation of China (National Science Foundation of China) 31825009National Natural Science Foundation of China (National Science Foundation of China) T2588301
6 · The paper itself

Abstract

Achieving thin ice with optimal thickness is a prerequisite for successful cryo-EM analysis of embedded macromolecules. Despite decades of effort, precise control of ice thickness in cryo-EM remains a major challenge. Here we reveal that the intrinsic instability of sub-100-nm liquid film, a previously overlooked determinant before vitrification, plays a critical role in controlling ice thickness. We found that well-designed graphene reservoirs can confine liquid film to an optimal thickness and overcome the limitations posed by liquid film instability, achieving precise control of ice thickness with robust reproducibility and large-area uniformity. These graphene reservoirs demonstrate superior liquid retention capabilities than conventional techniques, enabling tunable ice thickness through reservoir depth modulation. Moreover, this approach yields uniform confined ice in graphene sandwiches with controllable thickness and high efficiency, facilitating cryo-EM imaging of a broad range of macromolecule particles with high contrast, reduced motion and improved orientations for more robust high-resolution reconstruction.

Identifiers

PMID42791405

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Registered trials

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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.