Evidence map›Paper›PMID 39555994›Full record

ArticleJournal of anatomy2025

QuPath Edu and OpenMicroanatomy: Open-source virtual microscopy tools for medical education.

Aaron Yli-Hallila, Peter Bankhead, Mark J Arends, Petri Lehenkari, Sanna Palosaari

Abstract read
In one paragraph

Article in Journal of anatomy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. 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

5 authors.

Aaron Yli-HallilaTranslational Medicine Research Unit, Medical Faculty, University of Oulu, Oulu, Finland.ORCID 0009-0003-3260-9750
Peter BankheadCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-4851-8813
Mark J ArendsEdinburgh Pathology and CRUK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-6826-8770
Petri LehenkariTranslational Medicine Research Unit, Medical Faculty, University of Oulu, Oulu, Finland.ORCID 0000-0002-0055-5183
Sanna PalosaariTranslational Medicine Research Unit, Medical Faculty, University of Oulu, Oulu, Finland.ORCID 0000-0003-1526-5784

Funding

Pathological Society of Great Britain and Ireland, Education grant EG04211307Southern African and Finnish Higher Education Institutions' Network for Health and Well-Being (SAFINET)
6 · The paper itself

Abstract

Virtual microscopy is becoming increasingly common in both medical education and routine clinical practice. Virtual microscopy software is typically designed either for (1) training students in anatomy, histology, and histopathology, or (2) quantitative analysis-but not both simultaneously. QuPath is one of the most widely used software applications for histopathology image analysis in research and provides a comprehensive set of computational tools to evaluate histology slides. We have enhanced QuPath by developing a new extension, QuPath Edu, which adapts the software to function as an intuitive microanatomy learning environment. Additionally, we have created an entirely new, complementary software platform called OpenMicroanatomy, which provides an alternative way to access QuPath Edu teaching content through a web interface. These tools have been used in teaching of first year medical and dentistry students at the University of Oulu Medical Faculty, and we conducted a user survey for the Class of 2023 to assess the usability and student experience. In general, the introduced annotation and quiz features were appreciated by the students and the system usability of OpenMicroanatomy was considered excellent (SUS score 84.8). Together, these freely available tools enable teachers to develop and deploy innovative training material for anatomy, histopathology, quantitative analysis, and artificial intelligence in a wide range of contexts. This unique combination can provide the next generation of students with essential multidisciplinary skills.

Indexed as

AnatomyEducation, MedicalMicroscopySoftwareHistologyHumansUser-Computer Interfacehistologyhistopathologyimage analysismedical educationmicroanatomyopen‐source softwarevirtual microscopy

Identifiers

PMID39555994
PMCPMC11996698

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.