Quantification of histochemical stains using whole slide imaging: development of a method and demonstration of its usefulness in laboratory quality control
- PMID: 25480984
- DOI: 10.1136/jclinpath-2014-202526
Quantification of histochemical stains using whole slide imaging: development of a method and demonstration of its usefulness in laboratory quality control
Abstract
Aims: Histochemical staining of tissue is a fundamental technique in tissue diagnosis and research, but it suffers from significant variability. Efforts to address this include laboratory quality controls and quality assurance schemes, but these rely on subjective interpretation of stain quality, are laborious and have low reproducibility. We aimed (1) to develop a method for histochemical stain quantification using whole slide imaging and image analysis and (2) to demonstrate its usefulness in measuring staining variation.
Methods: A method to quantify the individual stain components of histochemical stains on virtual slides was developed. It was evaluated for repeatability and reproducibility, then applied to control sections of an appendix to quantify H&E staining (H/E intensities and H:E ratio) between automated staining machines and to measure differences between six regional diagnostic laboratories.
Results: The method was validated with <0.5% variation in H:E ratio measurement when using the same scanner for a batch of slides (ie, it was repeatable) but was not highly reproducible between scanners or over time, where variation of 7% was found. Application of the method showed H:E ratios between three staining machines varied from 0.69 to 0.93, H:E ratio variation over time was observed. Interlaboratory comparison demonstrated differences in H:E ratio between regional laboratories from 0.57 to 0.89.
Conclusions: A simple method using whole slide imaging can be used to quantify and compare histochemical staining. This method could be deployed in routine quality assurance and quality control. Work is needed on whole slide imaging devices to improve reproducibility.
Keywords: DIGITAL PATHOLOGY; HISTOPATHOLOGY; IMAGE ANALYSIS; QUALITY ASSURANCE; QUALITY CONTROL.
Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
Similar articles
-
Quantitative assessment of H&E staining for pathology: development and clinical evaluation of a novel system.Diagn Pathol. 2024 Feb 23;19(1):42. doi: 10.1186/s13000-024-01461-w. Diagn Pathol. 2024. PMID: 38395890 Free PMC article.
-
The hematoxylin and eosin stain in anatomic pathology-An often-neglected focus of quality assurance in the laboratory.Semin Diagn Pathol. 2019 Sep;36(5):303-311. doi: 10.1053/j.semdp.2019.06.003. Epub 2019 Jun 4. Semin Diagn Pathol. 2019. PMID: 31230963 Review.
-
Digital Quantification of Melanocytic Density in Resection Margins of Lentigo Maligna Using SOX10 Versus Hematoxylin-Eosin Staining.Am J Dermatopathol. 2021 Apr 1;43(4):273-277. doi: 10.1097/DAD.0000000000001749. Am J Dermatopathol. 2021. PMID: 32675472
-
The Immunology Quality Assessment Proficiency Testing Program for CD3⁺4⁺ and CD3⁺8⁺ lymphocyte subsets: a ten year review via longitudinal mixed effects modeling.J Immunol Methods. 2014 Jul;409:82-90. doi: 10.1016/j.jim.2014.05.017. Epub 2014 Jun 7. J Immunol Methods. 2014. PMID: 24911327 Free PMC article.
-
Implementation of Good Clinical Laboratory Practice (GCLP) guidelines within the External Quality Assurance Program Oversight Laboratory (EQAPOL).J Immunol Methods. 2014 Jul;409:91-8. doi: 10.1016/j.jim.2013.09.012. Epub 2013 Oct 9. J Immunol Methods. 2014. PMID: 24120573 Free PMC article. Review.
Cited by
-
Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection.Cancers (Basel). 2022 Nov 3;14(21):5424. doi: 10.3390/cancers14215424. Cancers (Basel). 2022. PMID: 36358842 Free PMC article.
-
Quantitative assessment of H&E staining for pathology: development and clinical evaluation of a novel system.Diagn Pathol. 2024 Feb 23;19(1):42. doi: 10.1186/s13000-024-01461-w. Diagn Pathol. 2024. PMID: 38395890 Free PMC article.
-
[Individualization and standardization in head and neck pathology].HNO. 2025 Apr 16. doi: 10.1007/s00106-025-01627-y. Online ahead of print. HNO. 2025. PMID: 40237827 Review. German.
-
The Role of Artificial Intelligence in the Evaluation of Prostate Pathology.Pathol Int. 2025 May;75(5):213-220. doi: 10.1111/pin.70015. Epub 2025 Apr 14. Pathol Int. 2025. PMID: 40226937 Free PMC article. Review.
-
SParticle, an algorithm for the analysis of filamentous microorganisms in submerged cultures.Antonie Van Leeuwenhoek. 2018 Feb;111(2):171-182. doi: 10.1007/s10482-017-0939-y. Epub 2017 Sep 15. Antonie Van Leeuwenhoek. 2018. PMID: 28916864 Free PMC article.
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical