Scientific Data (Jul 2023)

FAIR High Content Screening in Bioimaging

  • Rohola Hosseini,
  • Matthijs Vlasveld,
  • Joost Willemse,
  • Bob van de Water,
  • Sylvia E. Le Dévédec,
  • Katherine J. Wolstencroft

DOI
https://doi.org/10.1038/s41597-023-02367-w
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 5

Abstract

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The Minimum Information for High Content Screening Microscopy Experiments (MIHCSME) is a metadata model and reusable tabular template for sharing and integrating high content imaging data. It has been developed by combining the ISA (Investigations, Studies, Assays) metadata standard with a semantically enriched instantiation of REMBI (Recommended Metadata for Biological Images). The tabular template provides an easy-to-use practical implementation of REMBI, specifically for High Content Screening (HCS) data. In addition, ISA compliance enables broader integration with other types of experimental data, paving the way for visual omics and multi-Omics integration. We show the utility of MIHCSME for HCS data using multiple examples from the Leiden FAIR Cell Observatory, a Euro-Bioimaging flagship node for high content screening and the pilot node for implementing Findable, Accessible, Interoperable and Reusable (FAIR) bioimaging data throughout the Netherlands Bioimaging network.