Automated analysis of flow cytometric data for measuring neutrophil CD64 expression using a multi-instrument compatible probability state model

Cytometry Part B - Clinical Cytometry

Volumn 88, Issue 4, 2015, Pages 227-235

  Wong, Linda ^a   Hill, Beth L ^b   Hunsberger, Benjamin C ^b   Bagwell, C Bruce ^b   Curtis, Adam D ^a   Davis, Bruce H ^a  

^a Trillium Diagnostics   (United States)

^b Verity Software House Inc   (United States)

Author keywords

automated analysis; clinical cytometry; GemStone ; infection detection; innate immunity; laboratory improvement; Leuko64 ; leukocyte analysis; measurement error; quality practice improvement; sepsis assay

Indexed keywords

CD64 ANTIGEN; FC RECEPTOR;

ARTICLE; AUTOANALYSIS; BLOOD ANALYSIS; CONTROLLED STUDY; DATA ANALYSIS; DATA ANALYSIS SOFTWARE; FLOW CYTOMETER; FLOW CYTOMETRY; HUMAN; HUMAN CELL; MEASUREMENT PRECISION; NEUTROPHIL; PRIORITY JOURNAL; PROBABILITY STATE MODEL; QUALITY CONTROL; ALGORITHM; BACTERIAL INFECTIONS; BIOLOGY; BIOSYNTHESIS; CYTOLOGY; IMMUNOLOGY; INFLAMMATION; PROCEDURES; SEPSIS;

ALGORITHMS; BACTERIAL INFECTIONS; COMPUTATIONAL BIOLOGY; FLOW CYTOMETRY; HUMANS; INFLAMMATION; NEUTROPHILS; RECEPTORS, IGG; SEPSIS;

EID: 84932137842     PISSN: 15524949     EISSN: 15524957     Source Type: Journal    
DOI: 10.1002/cyto.b.21217     Document Type: Article

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