ArticleBMC medical education2026
Enhancing histology education: Iranian medical students' experience with eHistoLab web-application virtual microscopy.
Article in BMC medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHistology education relies on the visual interpretation of microscopic structures and requires repeated practice for effective learning. Advances in educational technology, particularly virtual microscopy, have created new opportunities for improving histology education. During the COVID-19 pandemic, online learning approaches became essential alternatives to traditional laboratory-based teaching. This study aimed to compare the effects of the eHistoLab web application and conventional e-lecturing on students' learning outcomes and perceptions in histology education among medical sciences students in Iran.
methodsThis quasi-experimental study used a two-group pre-test/post-test design. A total of 100 medical, dentistry, and pharmacy students enrolled in a histology course at Smart University of Medical Sciences (SMUMS), Iran, during the summer semester of 2023 participated in the study. Participants were randomly assigned into two groups. One group received instruction through e-lecturing, while the other group was taught using the eHistoLab web application, a bilingual virtual microscopy platform providing access to high-resolution histological slides, image magnification, search functions, and interactive communication with instructors. Learning outcomes were assessed using pre- and post-tests, and data were analyzed using paired and independent t-tests in SPSS version 24.
resultThe findings revealed that 50% of students preferred virtual microscopy alone for learning histology, while 30% preferred a combination of methods, and 20% preferred e-lecturing alone. Regarding educational resources, 58% of students preferred the eHistoLab application, whereas 26% preferred textbooks and 16% preferred recorded e-lectures. Meantime, 62% of students preferred the eHistoLab tool in terms of motivation for learning histology, whereas 30% preferred the combined approach and 8% favored recorded e-lectures. Moreover, the results indicated that the post-test scores in the group taught with the eHistoLab web application were significantly higher than those in the e-lecturing group (P < 0.001).
conclusionThe findings of this study suggest that the eHistoLab web application improved students' learning outcomes and was positively perceived as a learning tool in histology education. Virtual microscopy may therefore serve as a useful complementary approach to lecture-based histology teaching.
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.