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The urgent need for antibody detection tools has proven particularly acute in the COVID-19 era. Array-based tools are desirable as methods for assessing broader patterns of antigen-specific responses, as well as for providing information on SARS-CoV-2 immunity in the context of pre-existing immunity to other viruses. To that end, this talk will describe the development of a label-free microarray for rapidly quantifying antibodies to SARS-CoV-2 and other upper respiratory pathogens. The approach is built on Arrayed Imaging Reflectometry (AIR), a label-free detection technique based on the creation and binding-induced degradation of an antireflective coating on the surface of a silicon chip. Performance of the array using a cohort of human samples (convalescent COVID-19 patients and negative controls) along with applications in screening monoclonal antibodies will be discussed.
Benjamin L. Miller
"Analyzing the human response to COVID-19 with arrayed imaging reflectometry", Proc. SPIE 11626, Photonic Diagnosis, Monitoring, Prevention, and Treatment of Infections and Inflammatory Diseases 2021, 1162607 (5 March 2021); https://doi.org/10.1117/12.2577253
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Benjamin L. Miller, "Analyzing the human response to COVID-19 with arrayed imaging reflectometry," Proc. SPIE 11626, Photonic Diagnosis, Monitoring, Prevention, and Treatment of Infections and Inflammatory Diseases 2021, 1162607 (5 March 2021); https://doi.org/10.1117/12.2577253