Evidence map›Paper›PMID 41203931›Full record

ArticleNpj imaging2025

AutoQC-Bench: a diffusion model and benchmark for automatic quality control in high-throughput microscopy.

Zixuan Pan, Justin Sonneck, Dennis Nagel, Anja Hasenberg, Matthias Gunzer, Yiyu Shi, Jianxu Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Npj imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Zixuan Pan *Computer Science and Engineering, University of Notre Dame, Notre Dame, USA.
Justin Sonneck *Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V., Dortmund, Germany.
Dennis NagelInstitute for Experimental Immunology, Imaging, University Hospital, University Duisburg-Essen, Essen, Germany.
Anja HasenbergInstitute for Experimental Immunology, Imaging, University Hospital, University Duisburg-Essen, Essen, Germany.
Matthias GunzerLeibniz-Institut für Analytische Wissenschaften - ISAS - e.V., Dortmund, Germany.
Yiyu ShiComputer Science and Engineering, University of Notre Dame, Notre Dame, USA. yshi4@nd.edu.
Jianxu ChenLeibniz-Institut für Analytische Wissenschaften - ISAS - e.V., Dortmund, Germany. jianxu.chen@isas.de.

Funding

Bundesministerium für Forschung, Technologie und Raumfahrt 161L0272Deutsche Forschungsgemeinschaft 528777169Deutsche Forschungsgemeinschaft CRC TRR332Deutsche Forschungsgemeinschaft GU 769/10-1
6 · The paper itself

Abstract

Reliable biomedical imaging demands rigorous quality control, yet high-throughput microscopy remains prone to diverse artifacts. We present AutoQC-Bench, a software based on a reconstruction-driven diffusion model flagging abnormal images without prior knowledge, and along with a benchmark of 8000 images capturing common quality issues. The software outperforms existing methods, generalizes across modalities, and supports large-scale bioimaging studies. The software and benchmark are openly shared to advance robust microscopy quality control.

Identifiers

PMID41203931
PMCPMC12594752

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.