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FAIR High Content Screening in Bioimaging

Authors :
Rohola Hosseini
Matthijs Vlasveld
Joost Willemse
Bob van de Water
Sylvia E. Le Dévédec
Katherine J. Wolstencroft
Source :
Scientific Data, Vol 10, Iss 1, Pp 1-5 (2023)
Publication Year :
2023
Publisher :
Nature Portfolio, 2023.

Abstract

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.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20524463
Volume :
10
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Data
Publication Type :
Academic Journal
Accession number :
edsdoj.9f35a39edfa43a98125407bc5d1f226
Document Type :
article
Full Text :
https://doi.org/10.1038/s41597-023-02367-w