Cargando…
FAIR High Content Screening in Bioimaging
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 semantica...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10352356/ https://www.ncbi.nlm.nih.gov/pubmed/37460560 http://dx.doi.org/10.1038/s41597-023-02367-w |
_version_ | 1785074496849313792 |
---|---|
author | Hosseini, Rohola Vlasveld, Matthijs Willemse, Joost van de Water, Bob Le Dévédec, Sylvia E. Wolstencroft, Katherine J. |
author_facet | Hosseini, Rohola Vlasveld, Matthijs Willemse, Joost van de Water, Bob Le Dévédec, Sylvia E. Wolstencroft, Katherine J. |
author_sort | Hosseini, Rohola |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10352356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103523562023-07-19 FAIR High Content Screening in Bioimaging Hosseini, Rohola Vlasveld, Matthijs Willemse, Joost van de Water, Bob Le Dévédec, Sylvia E. Wolstencroft, Katherine J. Sci Data Comment 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. Nature Publishing Group UK 2023-07-17 /pmc/articles/PMC10352356/ /pubmed/37460560 http://dx.doi.org/10.1038/s41597-023-02367-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Comment Hosseini, Rohola Vlasveld, Matthijs Willemse, Joost van de Water, Bob Le Dévédec, Sylvia E. Wolstencroft, Katherine J. FAIR High Content Screening in Bioimaging |
title | FAIR High Content Screening in Bioimaging |
title_full | FAIR High Content Screening in Bioimaging |
title_fullStr | FAIR High Content Screening in Bioimaging |
title_full_unstemmed | FAIR High Content Screening in Bioimaging |
title_short | FAIR High Content Screening in Bioimaging |
title_sort | fair high content screening in bioimaging |
topic | Comment |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10352356/ https://www.ncbi.nlm.nih.gov/pubmed/37460560 http://dx.doi.org/10.1038/s41597-023-02367-w |
work_keys_str_mv | AT hosseinirohola fairhighcontentscreeninginbioimaging AT vlasveldmatthijs fairhighcontentscreeninginbioimaging AT willemsejoost fairhighcontentscreeninginbioimaging AT vandewaterbob fairhighcontentscreeninginbioimaging AT ledevedecsylviae fairhighcontentscreeninginbioimaging AT wolstencroftkatherinej fairhighcontentscreeninginbioimaging |