Evidence map›Paper›PMID 32591588›Full record

ArticleScientific reports2020

LoTToR: An Algorithm for Missing-Wedge Correction of the Low-Tilt Tomographic 3D Reconstruction of a Single-Molecule Structure.

Xiaobo Zhai, Dongsheng Lei, Meng Zhang, Jianfang Liu, Hao Wu, Yadong Yu, Lei Zhang, Gang Ren

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
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

24 citing papers in PubMed, 43 citations in OpenAlex.

  1. Review
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  15. Computational methods forFrontiers in cellular and infection microbiology · 2023
    Review
  16. Article
  17. Article
  18. Structure Detection in Three-Dimensional Cellular Cryoelectron Tomograms by Reconstructing Two-Dimensional Annotated Tilt Series.Journal of computational biology : a journal of computational molecular cell biology · 2022
    Article
  19. Review
  20. Deep Learning-Based Image Reconstruction for Different Medical Imaging Modalities.Computational and mathematical methods in medicine · 2022
    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 at 3 institutions in 2 countries.

Xiaobo Zhai *The Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Dongsheng Lei *The Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Meng ZhangThe Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Jianfang LiuThe Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Hao WuCollege of Artificial Intelligence, Beijing Normal University, Beijing, China.
Yadong YuThe Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Lei ZhangThe Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Gang RenThe Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA. gren@lbl.gov.
Lawrence Berkeley National Laboratory · USBeijing Normal University · CNLanzhou University · CN

Funding

Structure-Function Relationship Studies of the Plasma Lipid Transfer Proteins CETP and PLTPR01HL115153 · NHLBI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI REN, GANG · 2012 to 2021
$3.9M
Lipoprotein Structure and Function by Individual Particle Electron TomographyR01GM104427 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI REN, GANG · 2013 to 2016
$1.3M
NHLBI NIH HHS R01 HL115153NIGMS NIH HHS R01 GM104427
6 · The paper itself

Abstract

A single-molecule three-dimensional (3D) structure is essential for understanding the thermal vibrations and dynamics as well as the conformational changes during the chemical reaction of macromolecules. Individual-particle electron tomography (IPET) is an approach for obtaining a snap-shot 3D structure of an individual macromolecule particle by aligning the tilt series of electron tomographic (ET) images of a targeted particle through a focused iterative 3D reconstruction method. The method can reduce the influence on the 3D reconstruction from large-scale image distortion and deformation. Due to the mechanical tilt limitation, 3D reconstruction often contains missing-wedge artifacts, presented as elongation and an anisotropic resolution. Here, we report a post-processing method to correct the missing-wedge artifact. This low-tilt tomographic reconstruction (LoTToR) method contains a model-free iteration process under a set of constraints in real and reciprocal spaces. A proof of concept is conducted by using the LoTToR on a phantom, i.e., a simulated 3D reconstruction from a low-tilt series of images, including that within a tilt range of ±15°. The method is validated by using both negative-staining (NS) and cryo-electron tomography (cryo-ET) experimental data. A significantly reduced missing-wedge artifact verifies the capability of LoTToR, suggesting a new tool to support the future study of macromolecular dynamics, fluctuation and chemical activity from the viewpoint of single-molecule 3D structure determination.

Indexed as

AlgorithmsArtifactsCryoelectron MicroscopyElectron Microscope TomographyImage Processing, Computer-AssistedImaging, Three-DimensionalMacromolecular SubstancesMolecular ConformationNegative StainingTomography, X-Ray ComputedMacromolecular Substances

Identifiers

PMID32591588
PMCPMC7320192
OpenAlexW3037184735

What OpenQuestion holds

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LicenceCC BY
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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.