Presentation
7 March 2022 MultiSero: portable plate reader with on-board analysis for serosurveillance of Dengue infections with multiplex serology
Lena Blackmon, Eric Waltari, Hongquan Li, Janie R Byrum, Vida Ahyong, Fabiano Oliveira, Manu Prakash, Jessica Manning, Christina Tato, John Pak, Shalin Mehta
Author Affiliations +
Abstract
Dengue virus (DENV) is a mosquito-borne disease that poses a public health threat to sub/tropical areas worldwide. Vaccination drives require differential diagnosis of serotype-specific DENV exposure to reduce severe dengue risks, yet state-of-the-art DENV serology relies upon short-lived serotype-specific IgM or labor intensive neutralization assays. The need for high-throughput differential diagnosis is met with our multiSero platform (Byrum et al.), a screening technique capable of detecting 48 antigen-antibody pairs simultaneously, demonstrating utility for population-wide screening. Through machine-vision techniques, we quantify and classify antibody-response signals with high sensitivity to develop automated analysis pipelines capable of diagnosing serotype-specific DENV exposure.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lena Blackmon, Eric Waltari, Hongquan Li, Janie R Byrum, Vida Ahyong, Fabiano Oliveira, Manu Prakash, Jessica Manning, Christina Tato, John Pak, and Shalin Mehta "MultiSero: portable plate reader with on-board analysis for serosurveillance of Dengue infections with multiplex serology", Proc. SPIE PC11950, Optics and Biophotonics in Low-Resource Settings VIII, PC119500J (7 March 2022); https://doi.org/10.1117/12.2609138
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KEYWORDS
Machine vision

Computer vision technology

Diagnostics

Machine learning

Multiplexing

Pathology

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