Journal of Pathology Informatics Journal of Pathology Informatics
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TECHNICAL NOTE
Year : 2020  |  Volume : 11  |  Issue : 1  |  Page : 17

A point-of-use quality assurance tool for digital pathology remote working


1 Section of Pathology and Data Analytics, Leeds Institute of Medical Research, University of Leeds, Leeds, UK
2 Section of Pathology and Data Analytics, Leeds Institute of Medical Research, University of Leeds; Leeds Teaching Hospitals NHS Trust, Leeds, UK

Correspondence Address:
Dr. Alexander I Wright
St. James's University Hospital, 4.11 Wellcome Trust Brenner Building, Beckett Street, Leeds, LS9 7TF
UK
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jpi.jpi_25_20

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Pathology services are facing pressures due to the COVID-19 pandemic. Digital pathology has the capability to meet some of these unprecedented challenges by allowing remote diagnoses to be made at home, during periods of social distancing or self-isolation. However, while digital pathology allows diagnoses to be made on standard computer screens, unregulated home environments may not be conducive for optimal viewing conditions. There is also a paucity of experimental evidence available to support the minimum display requirements for digital pathology. This study presents a Point-of-Use Quality Assurance (POUQA) tool for remote assessment of viewing conditions for reporting digital pathology slides. The tool is a psychophysical test combining previous work from successfully implemented quality assurance tools in both pathology and radiology to provide a minimally intrusive display screen validation task, before viewing digital slides. The test is specific to pathology assessment in that it requires visual discrimination between colors derived from hematoxylin and eosin staining, with a perceptual difference of ±1 delta E (dE). This tool evaluates the transfer of a 1 dE signal through the digital image display chain, including the observers' contrast and color responses within the test color range. The web-based system has been rapidly developed and deployed as a response to the COVID-19 pandemic and may be used by anyone in the world to help optimize flexible working conditions at: http://www.virtualpathology.leeds.ac.uk/res earch/systems/pouqa/.


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