Image-based & machine learning-guided multiplexed serology test for SARS-CoV-2
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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, E. G., Kovacs, F., Kriston, A., Hollandi, R., Burian, K., Terhes, G., Visnyovszki, A., Fodor, E., Lacza, Z., … Hepojoki, J. (2022). Image-based & machine learning-guided multiplexed serology test for SARS-CoV-2 (Version v1.0.0) [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.6352550
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Single-cell extracted imaging features created in project "Image-based & machine learning-guided multiplexed serology test for SARS-CoV-2". The dataset includes train (with annotations) and test features used in the manuscript. Four SARS-CoV-2 antigens (S, N, R, M) were imaged separately with serum samples presenting IgG, IgA and IgM antibodies.
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Image-based, Machine learning, SARS-CoV-2