An approach to use machine learning to optimize paper immunoassays for SARS-CoV-2 IgG and IgM antibodies

Abstract

We developed a COVID-19 paper immunoassay that can detect IgG and IgM antibodies for both SARS CoV-2 spike and nucleocapsid proteins. The test is a multicolor assay that uses as...

A novel immunoassay technique using principal component analysis for enhanced detection of emerging viral variants

“…4d). 35,36 First, the test was run and the R,G, and B intensities of each of the two test areas was quantified by image analysis, resulting in 6 features. Instead of using the RGB values for machine learning, we utilized an approach using stain vectors for the components because the blue GNS are not pure blue, and the red NPs are not pure red.…”

“…The machine learning (ML) script was used in ref. 35 (Mata Calidonio and Hamad-Schifferli) and is available in the ESI† for that publication.…”