Published March 14, 2022 | Version v1.0.0
Dataset Open

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

Authors/Creators

  • 1. Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Sciences (HiLIFE), University of Helsinki
  • 2. Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre
  • 3. Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Sciences (HiLIFE), University of Helsinki; Department of Computer Science, Aalto University; Finnish Center for Artificial Intelligence; School of Electronic Engineering and Computer Science, Queen Mary University of London
  • 4. Minerva Foundation Institute for Medical Research; Department of Anatomy, Faculty of Medicine, University of Helsinki
  • 5. Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre; Single-Cell Technologies Ltd.
  • 6. Department of Medical Microbiology, Faculty of Medicine, University of Szeged
  • 7. 1st Department of Internal Medicine, Faculty of Medicine, University of Szeged
  • 8. Department of Sports Physiology, Inst. Sports and Health Sciences, University of Physical Education
  • 9. Meilahti Infectious Diseases and Vaccine Research Center, MeiVac, University of Helsinki and Helsinki University Hospital; Human Microbiome Research Program, University of Helsinki
  • 10. Institute of Biomedicine, University of Turku
  • 11. Department of Virology, Medicum, University of Helsinki
  • 12. Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Sciences (HiLIFE), University of Helsinki; Department of Oncology-Pathology, Karolinska Institutet, Science for Life Laboratory
  • 13. HCEMM-USZ Skin Research Group, Department of Dermatology and Allergology, University of Szeged
  • 14. Institute of Biomedicine, University of Turku; Turku University Hospital
  • 15. Department of Virology, Medicum, University of Helsinki; Department of Veterinary Biosciences, University of Helsinki; HUS Diagnostic Center, HUSLAB, Clinical Microbiology, Helsinki University Hospital
  • 16. Department of Immunology, Faculty of Medicine, Faculty of Science and Informatics, University of Szeged
  • 17. Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Sciences (HiLIFE), University of Helsinki; Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre; Single-Cell Technologies Ltd.
  • 18. Department of Virology, Medicum, University of Helsinki; University of Zurich, Vetsuisse Faculty, Institute of Veterinary Pathology

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.

Files

data_M_cv.zip

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Additional details

Funding

Research Council of Finland
Deep learning for phenotypic profiling of cancer cells 310552
Research Council of Finland
Inhibitors of SARS-Coronavirus-2 infection / Consortium: iCoin 336496
Research Council of Finland
Immune evasion: The tool for persistent infection and cross-species infectivity of arenaviruses? 308613
Research Council of Finland
Finnish Center for Artificial Intelligence (FCAI) / Consortium: FCAI 320183
Research Council of Finland
Biocenter Finland / Consortium: BF 337036
European Commission
VEO - Versatile Emerging infectious disease Observatory 874735
Research Council of Finland
Immune-mediated vascular leakage in hantavirus pathogenesis 321809
European Commission
discovAIR - Discovering the cellular landscape of the airways and the lung 874656
Research Council of Finland
InFLAMES: Innovation Ecosystem based on the Immune System / Consortium: InFlames 337530