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http://dx.doi.org/10.1016/S2214-109X(24)00444-3 | DOI Listing |
Lancet Glob Health
January 2025
Institute for Infection and Immunity, City St George's University London, London SW17 0RE, UK. Electronic address:
Cytometry B Clin Cytom
November 2017
National HIV Immunology and Retrovirology Laboratories, Public Health Agency of Canada, Winnipeg, Manitoba, Canada.
Background: Automation in HIV clinical flow cytometry when appropriately applied brings considerable standardisation benefits. The Canadian Immunology Quality Assessment Program (CIQAP) detected situations where operators did not manually override automated software in the event of improper output on the Epics XL and FC500 CD4 immunophenotyping platforms. The automated gating algorithm identifies lymphocytes using a double gate strategy based on CD45 × side scatter (SS) gating and a light scatter FS × SS gate known to fail with sub optimal specimens.
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