cc-by-4.0Pietiäinen, ViljaPolso, MinttuMigh, EdeGuckelsberger, ChristianHarmati, MariaDiosdi, AkosTurunen, LauraHassinen, AnttiPotdar, SwapnilKoponen, AnnikaSebestyen, Edina GuykityKovacs, FerencKriston, AndrasHollandi, RekaBurian, KatalinTerhes, GabriellaVisnyovszki, AdamFodor, EszterLacza, ZsomborKantele, AnuKolehmainen, PekkaKakkola, LauraStrandin, TomasLevanov, LevKallioniemi, OlliKemeny, LajosJulkunen, IlkkaVapalahti, OlliBuzas, KrisztinaPaavolainen, LassiHorvath, PeterHepojoki, Jussi2025-03-242022-03-142022-03-14https://hydatakatalogi-test-24.it.helsinki.fi/handle/123456789/10923Single-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.OpenImage-basedMachine learningSARS-CoV-2dataset