Evidence map›Paper›PMID 42518734›Full record

ArticleInverse problems2026

Two datasets are better than one: method of double moments for 3D reconstruction in cryo-EM.

Joe Kileel, Oscar Mickelin, Amit Singer, Sheng Xu

Abstract read
In one paragraph

Article in Inverse problems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Joe KileelDepartment of Mathematics and Oden Institute, University of Texas at Austin, Austin, TX, United States of America.
Oscar MickelinYau Mathematical Sciences Center, Tsinghua University, Beijing, Beijing, People's Republic of China.ORCID https://orcid.org/0000-0003-0167-1992
Amit SingerProgram in Applied and Computational Mathematics and Department of Mathematics, Princeton University, Princeton, NJ, United States of America.
Sheng XuProgram in Applied and Computational Mathematics, Princeton University, Princeton, NJ, United States of America.ORCID https://orcid.org/0009-0006-7177-6844

Funding

Reconstruction of heterogeneous and small macromolecules by cyro-EMR01GM136780 · NIGMS · PRINCETON UNIVERSITY · PI SINGER, AMIT · 2020 to 2023
$1.3M
NIGMS NIH HHS R01 GM136780
6 · The paper itself

Abstract

Cryo-electron microscopy is a powerful imaging technique for reconstructing three-dimensional molecular structures from noisy tomographic projection images of randomly oriented particles. We introduce a new data fusion framework, termed the method of double moments, which reconstructs molecular structures from two instances of the second-order moment of projection images obtained under distinct orientation distributions: one uniform, the other non-uniform and unknown. We prove that these moments generically uniquely determine the underlying structure, up to a global rotation and reflection, and we develop a convex-relaxation-based algorithm that achieves accurate recovery using only second-order statistics. Our results demonstrate the advantage of collecting and modeling multiple datasets under different experimental conditions, illustrating that leveraging dataset diversity can substantially enhance reconstruction quality in computational imaging tasks.

Indexed as

alternating optimizationautocorrelation analysiscryo-electron microscopydata fusionKam’s methodunique identification

Identifiers

PMID42518734
PMCPMC13382715

What OpenQuestion holds

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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.