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

Authors

Aalto University

Department of Computer Science

Adam Visnyovszki - Creator

Akos Diosdi - Creator

Andras Kriston - Creator

Annika Koponen - Creator

Antti Hassinen - Creator

Anu Kantele - Creator

Christian Guckelsberger - Creator

Ede Migh - Creator

Edina Guykity Sebestyen - Creator

Eszter Fodor - Creator

Ferenc Kovacs - Creator

Gabriella Terhes - Creator

Ilkka Julkunen - Creator

Jussi Hepojoki - Creator

Katalin Burian - Creator

Krisztina Buzas - Creator

Lajos Kemeny - Creator

Lassi Paavolainen - Creator

Laura Kakkola - Creator

Laura Turunen - Creator

Lev Levanov - Creator

Maria Harmati - Creator

Minttu Polso - Creator

Olli Kallioniemi - Creator

Olli Vapalahti - Creator

Pekka Kolehmainen - Creator

Peter Horvath - Creator

Reka Hollandi - Creator

Swapnil Potdar - Creator

Tomas Strandin - Creator

Vilja Pietiäinen - Creator

Zsombor Lacza - Creator

Biological Research Center of the Hungarian Academy of Sciences - Contributor

Queen Mary University of London - Contributor

University of Helsinki - Contributor

University of Szeged - Contributor

University of Turku - Contributor

University of Zurich - Contributor

Zenodo - Publisher

Other information

Fields of science

Computer and information sciences

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)