Image-based & machine learning-guided multiplexed serology test for SARS-CoV-2

Description

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.

Year of publication

2022

Type of data

Authors

Aalto University

Department of Computer Science

Christian Guckelsberger - Creator

Biological Research Center of the Hungarian Academy of Sciences

Akos Diosdi - Creator

Andras Kriston - Creator

Ede Migh - Creator

Edina Guykity Sebestyen - Creator

Ferenc Kovacs - Creator

Maria Harmati - Creator

Reka Hollandi - Creator

Helsinki University Hospital

Olli Vapalahti - Creator

Hungarian University of Sports Science

Eszter Fodor - Creator

Zsombor Lacza - Creator

University of Helsinki

Annika Koponen - Creator

Antti Hassinen - Creator

Anu Kantele - Creator

Lassi Paavolainen - Creator

Laura Turunen - Creator

Lev Levanov - Creator

Minttu Polso - Creator

Olli Kallioniemi - Creator

Peter Horvath - Creator

Swapnil Potdar - Creator

Tomas Strandin - Creator

Vilja Pietiäinen - Creator

University of Szeged

Adam Visnyovszki - Creator

Gabriella Terhes - Creator

Katalin Burian - Creator

Krisztina Buzas - Creator

Lajos Kemeny - Creator

University of Turku

Ilkka Julkunen - Creator

Laura Kakkola - Creator

Pekka Kolehmainen - Creator

University of Zurich

Jussi Hepojoki - Creator

Zenodo - Publisher

Project

Other information

Fields of science

Computer and information sciences

Language

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Keywords

Subject headings

Temporal coverage

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