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

  • Vilja Pietiäinen (Creator)
  • Minttu Polso (Creator)
  • Ede Migh (Creator)
  • Christian Guckelsberger (Creator)
  • Maria Harmati (Creator)
  • Akos Diosdi (Creator)
  • Laura Turunen (Creator)
  • Antti Hassinen (Creator)
  • Swapnil Potdar (Creator)
  • Annika Koponen (Creator)
  • Edina Guykity Sebestyen (Creator)
  • Ferenc Kovacs (Creator)
  • Andras Kriston (Creator)
  • Reka Hollandi (Creator)
  • Katalin Burian (Creator)
  • Gabriella Terhes (Creator)
  • Adam Visnyovszki (Creator)
  • Eszter Fodor (Creator)
  • Zsombor Lacza (Creator)
  • Anu Kantele (Creator)
  • Pekka Kolehmainen (Creator)
  • Laura Kakkola (Creator)
  • Tomas Strandin (Creator)
  • Lev Levanov (Creator)
  • Olli Kallioniemi (Creator)
  • Lajos Kemeny (Creator)
  • Ilkka Julkunen (Creator)
  • Olli Vapalahti (Creator)
  • Krisztina Buzas (Creator)
  • Lassi Paavolainen (Creator)
  • Peter Horvath (Creator)
  • Jussi Hepojoki (Creator)

Tietoaineisto

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.
Koska saatavilla2022
JulkaisijaZenodo

Dataset Licences

  • CC-BY-4.0

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