QCC Tools and Resources

Get Involved: Example of our Services, Ongoing Opportunities and Resources

We have a range of activities and ongoing work throughout the WSI pathway in addition to these resources listed. If you want to know more about how we can support you please get in touch. 

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A web-based Point-of-Use Quality Assurance (POUQA) tool for remote assessment of viewing conditions for reporting digital pathology slides. The test requires visual discrimination between colours derived from haematoxylin and eosin staining, with a perceptual difference of ±1 delta E (dE). The tool itself is free to use and can be found here: Point of Use QA | Point of Use Device Validation for Digital Pathology (leeds.ac.uk)

National Staining Survey 
We know staining can induce colour variability, which results in digital variability when slides are converted to WSI. This survey will allow us to accurately describe and measure this variation nationally for the first time using our stain assessment slides (Tango slides) that will be posted via courier to you.
More information can be found here: National Stain Survey – National Pathology Imaging Co-operative (npic.ac.uk)

Last updated January 2023

For more information or or to request PDF versions on the resources listed below please email the NPIC QCC at leedsth-tr.digipathqcc@nhs.net

Date published / made availableDescriptionAvailable here
Dec 2022A First Look at Scanner Introduced Variation in Contrast, Resolution, and Colour Across 5 Different Models of Whole Slide Imaging (WSI) Scanner”, Hayley Pye. https://npic.ac.uk/wp-content/uploads/sites/71/2023/01/HPye-Poster.pdf
Poster Prize Winner at 9th Digital Pathology & AI Congress, London.
Nov 2022The Need for Measurement Science in Digital Pathology (A paper in collaboration with the National Physical Laboratory (NPL) and British Standards Institution (BSI))https://www.sciencedirect.com/science/article/pii/S2153353922007519?via%3Dihub
Oct 2022 “The Use of a Biopolymer Film for Quantitative H&E Stain Assessment and Quality Control in Pathology”, Catriona M. Dunn.https://npic.ac.uk/wp-content/uploads/sites/71/2023/01/Pathology_Visions_Poster_C_Dunnv4.pdf
Best Clinical Poster Prize Winner at Pathology Visions 2022, Las Vegas.
Sept 2022NPIC Digital Pathology Webinar Series Quality in Digital Histopathologyhttps://www.youtube.com/watch?v=7KfX-leoakc&feature=youtu.be
May 2022The Leeds Guide to Digital Pathology Volume 2: Building a Digital Pathology Networkhttps://npic.ac.uk/wp-content/uploads/sites/71/2023/01/Guide-to-Digital-Pathology-Vol.2.pdf
Feb 2021The Effect of Quality Control on Accuracy of Digital Pathology Image Analysishttps://pubmed.ncbi.nlm.nih.gov/33347418/
Jul 2020 A Point-of-Use Quality Assurance Tool for Digital Pathology Remote Working  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513773/ https://pubmed.ncbi.nlm.nih.gov/33033654/
Mar 2020 Display evaluation for primary diagnosis using digital pathologyhttps://pubmed.ncbi.nlm.nih.gov/32341938/
Oct 2019Development and Evaluation of a Novel Point-of-Use Quality Assurance Tool for Digital Pathologyhttps://pubmed.ncbi.nlm.nih.gov/31021658/
Jun 2018The Leeds Guide To Digital Pathology https://npic.ac.uk/wp-content/uploads/sites/71/2023/01/Guide-to-Digital-Pathology-Vol.1.pdf
Oct 2017Development of a novel tissue-mimicking colour calibration slide for digital microscopyhttps://onlinelibrary.wiley.com/doi/abs/10.1002/col.22187
Jan 2017 Colour in digital pathology: a review  https://pubmed.ncbi.nlm.nih.gov/27607349/
Mar 2015Quantification of histochemical stains using whole slide imaging: development of a method and demonstration of its usefulness in laboratory quality controlhttps://pubmed.ncbi.nlm.nih.gov/25480984/