ArticleStructure (London, England : 1993)2020
Automating Decision Making in the Cryo-EM Pre-processing Pipeline.
Article in Structure (London, England : 1993), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- An unattended image-processing pipeline for on-the-fly quality assessment and 3D exploration in cryo-EM.Acta crystallographica. Section D, Structural biology · 2026Article
- REliable PIcking by Consensus (REPIC): a consensus methodology for harnessing multiple cryo-EM particle pickers.Communications biology · 2024Article
- A complete 3D-printed tool kit for Solid-State NMR sample and rotor handling.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2024Article
- Cryo-electron microscopy in the fight against COVID-19-mechanism of virus entry.Frontiers in molecular biosciences · 2023Review
- Recent Technical Advances in Sample Preparation for Single-Particle Cryo-EM.Frontiers in molecular biosciences · 2022Review
- Understanding the invisible hands of sample preparation for cryo-EM.Nature methods · 2021Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this issue of Structure, Li et al. (2020) describe machine learning methods that automate decision making in the cryo-EM pre-processing pipeline, eliminating the need for user-subjective decisions. They successfully tested this pipeline for a wide range of datasets, demonstrating the proof of concept and the efficiency of this approach.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.