Evidence map›Paper›PMID 34493805›Full record

ArticleCommunications biology2021

Machine learning-based real-time object locator/evaluator for cryo-EM data collection.

Koji Yonekura, Saori Maki-Yonekura, Hisashi Naitow, Tasuku Hamaguchi, Kiyofumi Takaba

Abstract read
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

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  17. Structure of endothelin ETCommunications biology · 2024
    Article
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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.

Koji YonekuraBiostructural Mechanism Laboratory, RIKEN SPring-8 Center, Sayo, Hyogo, Japan. yone@spring8.or.jp.ORCID 0000-0001-5520-4391
Saori Maki-YonekuraBiostructural Mechanism Laboratory, RIKEN SPring-8 Center, Sayo, Hyogo, Japan.
Hisashi NaitowBiostructural Mechanism Laboratory, RIKEN SPring-8 Center, Sayo, Hyogo, Japan.ORCID 0000-0001-7567-231X
Tasuku HamaguchiBiostructural Mechanism Laboratory, RIKEN SPring-8 Center, Sayo, Hyogo, Japan.ORCID 0000-0003-0876-7700
Kiyofumi TakabaBiostructural Mechanism Laboratory, RIKEN SPring-8 Center, Sayo, Hyogo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In cryo-electron microscopy (cryo-EM) data collection, locating a target object is error-prone. Here, we present a machine learning-based approach with a real-time object locator named yoneoLocr using YOLO, a well-known object detection system. Implementation shows its effectiveness in rapidly and precisely locating carbon holes in single particle cryo-EM and in locating crystals and evaluating electron diffraction (ED) patterns in automated cryo-electron crystallography (cryo-EX) data collection. The proposed approach will advance high-throughput and accurate data collection of images and diffraction patterns with minimal human operation.

Indexed as

Machine LearningAlgorithmsCryoelectron MicroscopyCrystallography, X-RayData CollectionImage Processing, Computer-Assisted

Identifiers

PMID34493805
PMCPMC8423793

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.