Standardization of immunohistochemistry (IHC) staining quality assurance (QA) is critical for diagnostic accuracy. Pathologists currently assess stain quality subjectively, comparing control sections to patient tissue. Qualitopix (Visiopharm, Denmark), a cloud-based artificial intelligence (AI) platform for IHC staining QA, uses quantitative analysis for scoring cell lines-derived, stained and digitized control slides. To establish the reliability of Qualitopix, we conducted a study to validate the precision of the digital pathology (DP) pipeline consisting of the scanners and the image analysis algorithms used.
Omar Z. Baba, MD1, Dhananjay Chitale, MD1, Kyle Perry, MD1, Nilesh Gupta, MD1, Oudai Hassan, MD1, Emily Stebens, MLS1, Kevin Daniels1, Margeaux Schmidt, MLT1, Danielle Pirain2, Henrik Høeg2, Mateusz Tylicki2, J. Mark Tuthill, MD1
1) Pathology and Laboratory Medicine Department, Henry Ford Health, Detroit, Michigan, United States
2) Visiopharm, Hørsholm, Denmark