Evidence map›Paper›PMID 39144526›Full record

ArticleSIAM journal on imaging sciences2023

Toward Single Particle Reconstruction without Particle Picking: Breaking the Detection Limit.

Tamir Bendory, Nicolas Boumal, William Leeb, Eitan Levin, Amit Singer

Abstract read
In one paragraph

Article in SIAM journal on imaging sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Subspace Method of Moments forSIAM journal on imaging sciences · 2026
    Article
  3. Article
  4. Autocorrelation analysis for cryo-EM with sparsity constraints: Improved sample complexity and projection-based algorithms.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  5. MULTI-TARGET DETECTION WITH ROTATIONS.Inverse problems and imaging (Springfield, Mo.) · 2023
    Article
  6. Super-resolution multi-reference alignment.Information and inference : a journal of the IMA · 2022
    Article
  7. Article
  8. Article
  9. Multi-target Detection with an Arbitrary Spacing Distribution.IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society · 2020
    Article
  10. 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

5 authors.

Tamir BendoryThe School of Electrical Engineering, Tel Aviv University, Tel Aviv 69978, Israel.
Nicolas BoumalInstitute of Mathematics, Ecole Polytechnique Fédérale DE Lausanne EPFL, 1015 Lausanne, Switzerland.
William LeebSchool of Mathematics, University of Minnesota, Minneapolis, MN 55455 USA.
Eitan LevinDepartment of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA 91125 USA.
Amit SingerThe Program in Applied and Computational Mathematics and Department of Mathematics, Princeton University, Princeton, NJ 08544 USA.

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

Single-particle cryo-electron microscopy (cryo-EM) has recently joined X-ray crystallography and NMR spectroscopy as a high-resolution structural method to resolve biological macromolecules. In a cryo-EM experiment, the microscope produces images called micrographs. Projections of the molecule of interest are embedded in the micrographs at unknown locations, and under unknown viewing directions. Standard imaging techniques first locate these projections (detection) and then reconstruct the 3-D structure from them. Unfortunately, high noise levels hinder detection. When reliable detection is rendered impossible, the standard techniques fail. This is a problem, especially for small molecules. In this paper, we pursue a radically different approach: we contend that the structure could, in principle, be reconstructed directly from the micrographs, without intermediate detection. The aim is to bring small molecules within reach for cryo-EM. To this end, we design an autocorrelation analysis technique that allows one to go directly from the micrographs to the sought structures. This involves only one pass over the micrographs, allowing online, streaming processing for large experiments. We show numerical results and discuss challenges that lay ahead to turn this proof-of-concept into a complementary approach to state-of-the-art algorithms.

Indexed as

62F1094A12autocorrelation analysiscryo-electron microscopydetection

Identifiers

PMID39144526
PMCPMC11324246

What OpenQuestion holds

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Registered trials

None linked

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.