1. Image-based and machine learning-guided multiplexed serology test for SARS-CoV-2.
- Author
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Pietiäinen V, Polso M, Migh E, Guckelsberger C, Harmati M, Diosdi A, Turunen L, Hassinen A, Potdar S, Koponen A, Sebestyen EG, Kovacs F, Kriston A, Hollandi R, Burian K, Terhes G, Visnyovszki A, Fodor E, Lacza Z, Kantele A, Kolehmainen P, Kakkola L, Strandin T, Levanov L, Kallioniemi O, Kemeny L, Julkunen I, Vapalahti O, Buzas K, Paavolainen L, Horvath P, and Hepojoki J
- Subjects
- Humans, COVID-19 Testing, Acclimatization, Machine Learning, SARS-CoV-2, COVID-19
- Abstract
We present a miniaturized immunofluorescence assay (mini-IFA) for measuring antibody response in patient blood samples. The method utilizes machine learning-guided image analysis and enables simultaneous measurement of immunoglobulin M (IgM), IgA, and IgG responses against different viral antigens in an automated and high-throughput manner. The assay relies on antigens expressed through transfection, enabling use at a low biosafety level and fast adaptation to emerging pathogens. Using severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as the model pathogen, we demonstrate that this method allows differentiation between vaccine-induced and infection-induced antibody responses. Additionally, we established a dedicated web page for quantitative visualization of sample-specific results and their distribution, comparing them with controls and other samples. Our results provide a proof of concept for the approach, demonstrating fast and accurate measurement of antibody responses in a research setup with prospects for clinical diagnostics., Competing Interests: P.H. is the founder and shareholder and A. Kriston and F.K. are employees of Single-Cell Technologies Ltd. This study has been protected with invention disclosures (ID965/2020 and ID115/2021 University of Helsinki, Finland), and the patent application has been filed (Hungary, no. P2100295)., (© 2023 The Authors.)
- Published
- 2023
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