Evidence map›Paper›PMID 38395890›Full record

ArticleDiagnostic pathology2024

Quantitative assessment of H&E staining for pathology: development and clinical evaluation of a novel system.

Catriona Dunn, David Brettle, Martin Cockroft, Elizabeth Keating, Craig Revie, Darren Treanor

Abstract read
In one paragraph

Article in Diagnostic pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Improved hemodynamic and cardiorespiratory instability with vitamin D supplementation in an obstructive sleep apnea rat models.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. DenseUNet for Breast Cancer Segmentation in Histopathological Images.Journal of medical signals and sensors · 2026
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors.

Catriona DunnNational Pathology Imaging Co-operative, Leeds Teaching Hospitals NHS Trust, Leeds, UK. catriona.dunn@nhs.net.
David BrettleNational Pathology Imaging Co-operative, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Martin CockroftNew Technology Group, Futamura Chemical UK Limited, Wigton, UK.
Elizabeth KeatingNew Technology Group, Futamura Chemical UK Limited, Wigton, UK.
Craig RevieFFEI Limited, The Cube, Hemel Hempstead, UK.
Darren TreanorNational Pathology Imaging Co-operative, Leeds Teaching Hospitals NHS Trust, Leeds, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStaining tissue samples to visualise cellular detail and tissue structure is at the core of pathology diagnosis, but variations in staining can result in significantly different appearances of the tissue sample. While the human visual system is adept at compensating for stain variation, with the growth of digital imaging in pathology, the impact of this variation can be more profound. Despite the ubiquity of haematoxylin and eosin staining in clinical practice worldwide, objective quantification is not yet available. We propose a method for quantitative haematoxylin and eosin stain assessment to facilitate quality assurance of histopathology staining, enabling truly quantitative quality control and improved standardisation.

methodsThe stain quantification method comprises conventional microscope slides with a stain-responsive biopolymer film affixed to one side, called stain assessment slides. The stain assessment slides were characterised with haematoxylin and eosin, and implemented in one clinical laboratory to quantify variation levels.

resultsStain assessment slide stain uptake increased linearly with duration of haematoxylin and eosin staining (r = 0.99), and demonstrated linearly comparable staining to samples of human liver tissue (r values 0.98-0.99). Laboratory implementation of this technique quantified intra- and inter-instrument variation of staining instruments at one point in time and across a five-day period.

conclusionThe proposed method has been shown to reliably quantify stain uptake, providing an effective laboratory quality control method for stain variation. This is especially important for whole slide imaging and the future development of artificial intelligence in digital pathology.

Indexed as

Artificial IntelligenceColoring AgentsEosine Yellowish-(YS)HematoxylinHumansStaining and LabelingColoring AgentsEosine Yellowish-(YS)HematoxylinDigital PathologyHistochemical stainingHistopathologyQualityQuality AssuranceStain

Identifiers

PMID38395890
PMCPMC10885446

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.