Evidence map›Paper›PMID 39076101›Full record

ArticleImmunology and cell biology2025

A combined interactive online simulation and face-to-face laboratory enable undergraduate student proficiency in hemocytometer use, cell density and viability calculations.

Maurizio Costabile, Sheree Bailey, Gareth Denyer

Abstract read
In one paragraph

Article in Immunology and cell biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

3 authors.

Maurizio CostabileClinical and Health Sciences, University of South Australia, Adelaide, SA, Australia.ORCID https://orcid.org/0000-0002-2162-6497
Sheree BaileyClinical and Health Sciences, University of South Australia, Adelaide, SA, Australia.ORCID https://orcid.org/0000-0001-6690-5476
Gareth DenyerSchool of Life and Environmental Sciences, University of Sydney, Sydney, NSW, Australia.ORCID https://orcid.org/0000-0003-1551-3936

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A hemocytometer is a key piece of laboratory equipment typically used in diagnostic and immunology research laboratories to enumerate white blood cells. The accurate quantification of cell density is essential to ensure accurate numbers of cells are added to assays to generate valid data. Hence, learning to correctly use a hemocytometer is a critical skill for all undergraduate immunology students. However, this skill can be challenging to learn because of students' unfamiliarity with correct cell identification, differentiating viable versus dead cells and mathematical proficiency in calculating cell density and viability. To address these issues, we developed an interactive computer simulation that replicated all aspects of a Neubauer-style hemocytometer. This simulation was used to teach second-year undergraduate immunology students before a face-to-face (F-2-F) laboratory exercise where these skills were applied. Using a mixed methods approach, student performance and feedback were collected on broad aspects of the intervention and its benefits to the F-2-F setting. The approach was found to be extremely successful with all measures indicating a significant impact of the virtual hemocytometer on student learning, understanding and confidence. We suggest that integrating an online simulation to teach students the fundamentals of hemocytometer use and calculations is a valuable educational aid for learning this important skill.

Indexed as

Allergy and ImmunologyComputer SimulationCell CountCell SurvivalHumansLaboratoriesStudentseducationhemocytometerimmunologyonlinesimulationundergraduate

Identifiers

PMID39076101
PMCPMC11792770

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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.