title: Overview of clinical flow cytometry data analysis: recent advances and future challenges.
abstract: Major technological advances in flow cytometry (FC), both for instrumentation and reagents, have emerged over the past few decades. These advances facilitate simultaneous evaluation of more parameters in single cells analyzed at higher speed. Consequently, larger and more complex data files that contain information about tens of parameters for millions of cells are generated. This increasing complexity has challenged pre-existing data analysis tools and promoted the development of new algorithms and tools for data analysis and visualization. Here, we review the currently available (conventional and newly developed) data analysis and visualization strategies that aim for easier, more objective, and robust interpretation of FC data both in biomedical research and clinical diagnostic laboratories.
authors.affiliation: COPPE - Engineering Graduate Program and Faculty of Medicine, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.
authors.forename: Carlos E
authors.initials: CE
authors.lastname: Pedreira
authors.forename: Elaine S
authors.initials: ES
authors.lastname: Costa
authors.forename: Quentin
authors.initials: Q
authors.lastname: Lecrevisse
authors.forename: Jacques J M
authors.initials: JJ
authors.lastname: van Dongen
authors.forename: Alberto
authors.initials: A
authors.lastname: Orfao
mesh_terms: D035843:Biomedical Research / Q000379:methods / Q000639:trends; D019411:Clinical Laboratory Techniques / Q000379:methods* / Q000639:trends; D005434:Flow Cytometry / Q000379:methods* / Q000639:trends; D006801:Humans; D013223:Statistics as Topic / Q000379:methods* / Q000639:trends