Evidence map›Paper›PMID 33294840›Full record

ArticleJournal of structural biology: X2020

SIMPLE 3.0. Stream single-particle cryo-EM analysis in real time.

Joseph Caesar, Cyril F Reboul, Chiara Machello, Simon Kiesewetter, Molly L Tang, Justin C Deme, Steven Johnson, Dominika Elmlund, Susan M Lea, Hans Elmlund

Abstract read
In one paragraph

Article in Journal of structural biology: X, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

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  8. High-affinity, structure-validated and selective macrocyclic peptide tools for chemical biology studies of Huntingtin.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  20. The discovery of aScience advances · 2025
    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

10 authors.

Joseph CaesarSir William Dunn School of Pathology, University of Oxford, Oxford, UK.
Cyril F ReboulDepartment of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Melbourne, Victoria, Australia.
Chiara MachelloDepartment of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Melbourne, Victoria, Australia.
Simon KiesewetterDepartment of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Melbourne, Victoria, Australia.
Molly L TangSir William Dunn School of Pathology, University of Oxford, Oxford, UK.
Justin C DemeSir William Dunn School of Pathology, University of Oxford, Oxford, UK.
Steven JohnsonSir William Dunn School of Pathology, University of Oxford, Oxford, UK.
Dominika ElmlundDepartment of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Melbourne, Victoria, Australia.
Susan M LeaSir William Dunn School of Pathology, University of Oxford, Oxford, UK.
Hans ElmlundDepartment of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Melbourne, Victoria, Australia.

Funding

Medical Research Council MR/S021264/1Wellcome Trust 201536
6 · The paper itself

Abstract

We here introduce the third major release of the SIMPLE (Single-particle IMage Processing Linux Engine) open-source software package for analysis of cryogenic transmission electron microscopy (cryo-EM) movies of single-particles (Single-Particle Analysis, SPA). Development of SIMPLE 3.0 has been focused on real-time data processing using minimal CPU computing resources to allow easy and cost-efficient scaling of processing as data rates escalate. Our stream SPA tool implements the steps of anisotropic motion correction and CTF estimation, rapid template-based particle identification and 2D clustering with automatic class rejection. SIMPLE 3.0 additionally features an easy-to-use web-based graphical user interface (GUI) that can be run on any device (workstation, laptop, tablet or phone) and supports a remote multi-user environment over the network. The new project-based execution model automatically records the executed workflow and represents it as a flow diagram in the GUI. This facilitates meta-data handling and greatly simplifies usage. Using SIMPLE 3.0, it is possible to automatically obtain a clean SP data set amenable to high-resolution 3D reconstruction directly upon completion of the data acquisition, without the need for extensive image processing post collection. Only minimal standard CPU computing resources are required to keep up with a rate of ∼300 Gatan K3 direct electron detector movies per hour. SIMPLE 3.0 is available for download from simplecryoem.com.

Indexed as

Cryo-EMReal-timeSingle-particleStream image processing

Identifiers

PMID33294840
PMCPMC7695977

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.