Automated flow cytometric analysis across large numbers of samples and cell types

Clinical Immunology

Volumn 157, Issue 2, 2015, Pages 249-260

  Chen, Xiaoyi ^a,b   Hasan, Milena ^a   Libri, Valentina ^a   Urrutia, Alejandra ^a,c   Beitz, Benoît ^a   Rouilly, Vincent ^a   Duffy, Darragh ^a,c   Patin, Étienne ^d   Chalmond, Bernard ^b,e   Rogge, Lars ^a,d   Quintana Murci, Lluis ^a,c   Albert, Matthew L ^a,c   Schwikowski, Benno ^a  

^a INSTITUT PASTEUR   (France)

^b UNIVERSITÉ DE CERGY PONTOISE   (France)

^c INSERM   (France)

^d UNIVERSITÉ PARIS SACLAY   (France)

^e CNRS URA3012   (France)

Author keywords

Algorithms; ; Automation; ; Flow cytometry; ; Multidimensional analysis; ; Population based cohort; ; Standardization;

Indexed keywords

ALGORITHM; B LYMPHOCYTE; BAYES THEOREM; CLUSTER ANALYSIS; COMPUTER PROGRAM; DENDRITIC CELL; FLOW CYTOMETRY; HUMAN; LABORATORY AUTOMATION; MONOCYTE; NATURAL KILLER CELL; NEUTROPHIL; PROCEDURES; STANDARD; STATISTICS; T LYMPHOCYTE; T LYMPHOCYTE SUBPOPULATION;

ALGORITHMS; AUTOMATION, LABORATORY; B-LYMPHOCYTES; BAYES THEOREM; CLUSTER ANALYSIS; DENDRITIC CELLS; FLOW CYTOMETRY; HUMANS; KILLER CELLS, NATURAL; MONOCYTES; NEUTROPHILS; REFERENCE STANDARDS; SOFTWARE; STATISTICS AS TOPIC; T-LYMPHOCYTE SUBSETS; T-LYMPHOCYTES;

EID: 84933509460     PISSN: 15216616     EISSN: 15217035     Source Type: Journal    
DOI: 10.1016/j.clim.2014.12.009     Document Type: Article

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