Background

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