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.
Dirk Vossen, PhD1, Regan Fulton, MD2, PhD, Jeppe Thagaard, PhD1, Henrik Høeg, MSc1, Stine Amtoft Nielsen, MSc1, Scott Crawford, PhD2, Mateusz Tylicki, BSc (Hons)1, Andrew M Bellizzi, MD3, Sven van Kempen, Tri Q4. Nguyen, MD4, Ghlowy Gerritsen4
1) Visiopharm A/S
2) Array Science, LLC
3) University of Iowa Hospitals & Clinics
4) UMC Utrecht