Investigating Inflammation on the Cellular Level Using Machine Learning

Adam Robert Sibley
Linked recognition of antigen by T cells and antigen presenting cells (APCs) through direct cell-to-cell contact underlies most adaptive immune responses that both protect from infection and drive tissue damage in autoimmunity. To objectively assess this linked recognition of cells, our research studies the morphology and interaction of individual immune cells relative to inflammatory immune response. We utilize multi-channel immunofluorescence imaging (cellular confocal microscopy) in presentations of lupus nephritis incorporating nuclear stains and cell membrane...
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