Automated analysis of GPI-deficient leukocyte flow cytometric data using GemStone™

Cytometry Part B - Clinical Cytometry

Volumn 82 B, Issue 5, 2012, Pages 319-324

  Miller, David T ^a   Hunsberger, Benjamin C ^b   Bagwell, C Bruce ^b  

^a Verity Software House ^*

^b Verity Software House   (United States)

Author keywords

automated analysis; FLAER; flow cytometry; GemStone; GPI deficient; leukocytes; multivariate classification; PNH; probability state model

Indexed keywords

CD14 ANTIGEN; CD15 ANTIGEN; CD16 ANTIGEN; CD24 ANTIGEN; CD45 ANTIGEN; CD64 ANTIGEN; GLYCOSYLPHOSPHATIDYLINOSITOL;

ARTICLE; BONE MARROW CELL; DATA ANALYSIS; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; FLOW CYTOMETRY; HUMAN; HUMAN CELL; LEUKOCYTE; LEUKOCYTE COUNT; MAJOR CLINICAL STUDY; PAROXYSMAL NOCTURNAL HEMOGLOBINURIA; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY;

AUTOMATION, LABORATORY; DATA INTERPRETATION, STATISTICAL; FLOW CYTOMETRY; GLYCOSYLPHOSPHATIDYLINOSITOLS; HEMOGLOBINURIA, PAROXYSMAL; HUMANS; LEUKOCYTES; LINEAR MODELS; MULTIVARIATE ANALYSIS; PROBABILITY; SOFTWARE;

EID: 84866017342     PISSN: 15524949     EISSN: 15524957     Source Type: Journal    
DOI: 10.1002/cyto.b.21024     Document Type: Article

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