Evidence map›Paper›PMID 40074778›Full record

ArticleScientific data2025

Inner Ear Multiple Primary Cell Type Detection System.

Yu-Ting Li, Ching-Yun Chen, Bing-Siang Wang, Po-Hsuan Hung, Chia-Yu Lin

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Yu-Ting LiDepartment of Computer Science and Information Engineering, National Central University, Taoyuan City, Taiwan.ORCID http://orcid.org/0000-0002-6740-8030
Ching-Yun ChenDepartment of Biomedical Sciences and Engineering, National Central University, Taoyuan City, Taiwan.
Bing-Siang WangDepartment of Computer Science and Information Engineering, National Central University, Taoyuan City, Taiwan.
Po-Hsuan HungDepartment of Computer Science and Information Engineering, National Central University, Taoyuan City, Taiwan.
Chia-Yu LinDepartment of Computer Science and Information Engineering, National Central University, Taoyuan City, Taiwan. sallylin0121@ncu.edu.tw.ORCID http://orcid.org/0000-0002-5106-7286

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In vitro inner ear organoids gene therapy has advanced medical development, yet extracting inner ear primary cells (IEP) remains complex and needs to scarify mice. IEP cells contain multiple cell types, including progenitor cells, which can differentiate into hair-progenitor or neuro-progenitor cells. Accurate cell detection is essential to understand cell interactions and optimize culture conditions, ultimately reducing the sacrifice of mice. Current commercial software counts only one cell type at a time, often making errors in aggregated regions and taking at least five minutes per count. This paper proposes the Inner Ear Multiple Primary Cell Type Detection System (IEP-CDS), which addresses data limitations through IEP augmentation, overcomes detection errors in aggregated regions using preprocessing methods for training YOLO models, and achieves an F1-score greater than 20% compared to commercial software, completing counts in under one second. Furthermore, IEP-CDS provides rare IEP image data with expert labels. Overall, IEP-CDS effectively improves the efficiency of IEP detection in developing cell therapy for inner ear organoids.

Indexed as

Ear, InnerOrganoidsAnimalsMiceSoftwareStem Cells

Identifiers

PMID40074778
PMCPMC11904228

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.