Automated classification and analysis of the calcium response of single T lymphocytes using a neural network approach

IEEE Transactions on Neural Networks

Volumn 16, Issue 4, 2005, Pages 949-958

  Payne, S J ^a   Arrol, H P ^b   Hunt, S V ^c   Young, S P ^b  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^c UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Calcium; Lymphocyte; Oscillation; Signalling

Indexed keywords

ANTIGEN-ANTIBODY REACTIONS; CALCIUM; CELLS; FEATURE EXTRACTION; IMMUNOLOGY; MATHEMATICAL MODELS; MULTILAYER NEURAL NETWORKS; TIME SERIES ANALYSIS;

CALCIUM RESPONSE; IMMUNE RESPONSES; LYMPHOCYTE;

PATTERN RECOGNITION;

CALCIUM; PHYTOHEMAGGLUTININ; PHYTOHEMAGGLUTININ P; PHYTOHEMAGGLUTININ-P;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BIOLOGICAL RHYTHM; CALCIUM SIGNALING; CELL CULTURE; COMPARATIVE STUDY; DRUG EFFECT; EVALUATION; HUMAN; LYMPHOCYTE ACTIVATION; METABOLISM; METHODOLOGY; PHYSIOLOGY; T LYMPHOCYTE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOLOGICAL CLOCKS; CALCIUM; CALCIUM SIGNALING; CELLS, CULTURED; HUMANS; LYMPHOCYTE ACTIVATION; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; PHYTOHEMAGGLUTININS; T-LYMPHOCYTES;

EID: 23044485050     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2005.849820     Document Type: Article

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