Standardization of flow cytometry assays requires careful attention to reagents, sample handling, instrument setup, and data analysis, and is essential for successful cross-study and cross-center performance and analysis of large data sets. The Human Immune Phenotyping Consortium (HIP-C) was formed by the Federation of Clinical Immunology Societies (FOCIS) to address these issues. While it is known that centralized manual gating can reduce cross-center variability, here we sought to determine whether automated methods were a suitable approach to streamline and further standardize analysis.
Standardizing Cytometry Data Analysis
Standardizing Flow Cytometry Immunophenotyping Analysis from the Human ImmunoPhenotyping Consortium
G. Finak, M. Langweiler, M. Jaimes, M. Malek, J. Taghiyar, Y. Korin, K. Raddassi, L. Devine, G. Obermoser, M. L. Pekalski, N. Pontikos, A. Diaz, S. Heck, F. Villanova, N. Terrazzini, F. Kern, Y. Qian, R. Stanton, K. Wang, A. Brandes, J. Ramey, N. Aghaeepour, T. Mosmann, R. H. Scheuermann, E. Reed, K. Palucka, V. Pascual, B. B. Blomberg, F. Nestle, R. B. Nussenblatt, R. R. Brinkman, R. Gottardo, H. Maecker, J. P. McCoy