flowClean: Automated identification and removal of fluorescence anomalies in flow cytometry data

Cytometry Part A

Volumn 89, Issue 5, 2016, Pages 461-471

  Fletez Brant, Kipper ^a,b   Špidlen, Josef ^c   Brinkman, Ryan R ^c   Roederer, Mario ^b   Chattopadhyay, Pratip K ^b  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b NATIONAL INSTITUTES OF HEALTH   (United States)

^c BRITISH COLUMBIA CANCER AGENCY   (Canada)

Author keywords

automated; flow cytometry; high throughput; quality control

Indexed keywords

ALGORITHM; CELL TRACKING; DEVICES; FLOW CYTOMETRY; FLUORESCENCE; HUMAN; INFORMATION PROCESSING; PROCEDURES; QUALITY CONTROL; STANDARDS;

ALGORITHMS; CELL TRACKING; DATASETS AS TOPIC; FLOW CYTOMETRY; FLUORESCENCE; HUMANS; QUALITY CONTROL;

EID: 84961282081     PISSN: 15524922     EISSN: 15524930     Source Type: Journal    
DOI: 10.1002/cyto.a.22837     Document Type: Article

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