Accounting for intensity variation in image analysis of large‐scale multiplexed clinical trial datasets

• Egile Nagusiak: Anja L Frei (Egilea), Anthony McGuigan (Egilea), Ritik RAK Sinha (Egilea), Mark A Glaire (Egilea), Faiz Jabbar (Egilea), Luciana Gneo (Egilea), Tijana Tomasevic (Egilea), Andrea Harkin (Egilea), Tim J Iveson (Egilea), Mark Saunders (Egilea), Karin Oein (Egilea), Noori Maka (Egilea), Francesco Pezella (Egilea), Leticia Campo (Egilea), Jennifer Hay (Egilea), Joanne Edwards (Egilea), Owen J Sansom (Egilea), Caroline Kelly (Egilea), Ian Tomlinson (Egilea), Wanja Kildal (Egilea), Rachel S Kerr (Egilea), David J Kerr (Egilea), Håvard E Danielsen (Egilea), Enric Domingo (Egilea), TransSCOT Consortium (Egilea), David N Church (Egilea), Viktor H Koelzer (Egilea)
• Formatua: Liburua
• Argitaratua: Wiley, 2023-11-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

Abstract Multiplex immunofluorescence (mIF) imaging can provide comprehensive quantitative and spatial information for multiple immune markers for tumour immunoprofiling. However, application at scale to clinical trial samples sourced from multiple institutions is challenging due to pre‐analytical h...