Evidence map›Paper›PMID 41407680›Full record

ArticleNature communications2025

PhaseT3M: 3D imaging at 1.6 Å resolution via electron cryo-tomography with nonlinear phase retrieval.

Juhyeok Lee, Samuel W Song, Min Gee Cho, Georgios Varnavides, Stephanie M Ribet, Colin Ophus, Mary C Scott, Michael L Whittaker

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

8 authors.

Juhyeok LeeEnergy Geosciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. jhlee0667@lbl.gov.ORCID http://orcid.org/0000-0002-4866-5728
Samuel W SongDepartment of Materials Science and Engineering, University of California Berkeley, Berkeley, CA, USA.ORCID http://orcid.org/0009-0007-2493-1861
Min Gee ChoNational Center for Electron Microscopy, Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Georgios VarnavidesDepartment of Materials Science and Engineering, University of California Berkeley, Berkeley, CA, USA.ORCID http://orcid.org/0000-0001-8338-3323
Stephanie M RibetNational Center for Electron Microscopy, Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID http://orcid.org/0000-0002-7117-066X
Colin OphusDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-2348-8558
Mary C ScottNational Center for Electron Microscopy, Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. mary.scott@berkeley.edu.ORCID http://orcid.org/0000-0002-9543-6725
Michael L WhittakerEnergy Geosciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. mwhittaker@lbl.gov.ORCID http://orcid.org/0000-0002-9724-3409

Funding

DOE | SC | Basic Energy Sciences (BES) DE-AC02-05-CH11231
6 · The paper itself

Abstract

Electron cryo-tomography (cryo-ET) enables 3D imaging of complex, radiation-sensitive structures with molecular detail. However, image contrast from the interference of scattered electrons is nonlinear with atomic density and multiple scattering further complicates interpretation. These effects degrade resolution, particularly in conventional reconstruction algorithms, which assume linearity. Particle averaging can reduce such issues but is unsuitable for heterogeneous or dynamic samples ubiquitous in biology, chemistry, and materials sciences. Here, we develop a phase retrieval-based cryo-ET method, PhaseT3M. We experimentally demonstrate its application to an approximately 7 nm Co

Identifiers

PMID41407680
PMCPMC12820068

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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.