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For: Lhermitte L, Barreau S, Morf D, Fernandez P, Grigore G, Barrena S, de Bie M, Flores-Montero J, Brüggemann M, Mejstrikova E, Nierkens S, Burgos L, Caetano J, Gaipa G, Buracchi C, da Costa ES, Sedek L, Szczepański T, Aanei CM, van der Sluijs-Gelling A, Delgado AH, Fluxa R, Lecrevisse Q, Pedreira CE, van Dongen JJM, Orfao A, van der Velden VHJ; EuroFlow Consortium. Automated identification of leukocyte subsets improves standardization of database-guided expert-supervised diagnostic orientation in acute leukemia: a EuroFlow study. Mod Pathol 2021;34:59-69. [PMID: 32999413 DOI: 10.1038/s41379-020-00677-7] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]
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2 Pinero P, Morillas M, Gutiérrez N, Barragán E, Such E, Breña J, Gil C, García C, Botella C, Navajas J, Zapater P, Montesinos P, Sempere A, Tarín F. Identification of leukemia-associated immunophenotypes by database-guided flow cytometry provides a highly sensitive and reproducible strategy for the study of measurable residual disease in acute myeloblastic leukemia.. [DOI: 10.1101/2022.07.12.499672] [Reference Citation Analysis]
3 Brando B. Issue Highlights—May 2022. Cytometry Part B Clinical 2022;102:185-188. [DOI: 10.1002/cyto.b.22072] [Reference Citation Analysis]
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