The 4DN-OME ontology: an OME-OWL extension with emphasis on usability, minimum information guidelines and quality control for super-resolution fluorescence microscopy

Hammer, Mathias; Rigano, Alessandro; Farzam, Farzin; Huisman, Maximiliaan; Grünwald, David; Strambio De Castillia, Caterina

doi:10.6084/m9.figshare.12758957.v1

Hammer et al._SWAT4HCLS_2019_paper_32_FigShare.pdf (106.19 kB)

The 4DN-OME ontology: an OME-OWL extension with emphasis on usability, minimum information guidelines and quality control for super-resolution fluorescence microscopy

conference contribution

posted on 2020-08-04, 11:19 authored by Mathias Hammer, Alessandro Rigano, Farzin Farzam, Maximiliaan Huisman, David Grünwald, Caterina Strambio De CastilliaCaterina Strambio De Castillia

Peer-reviewed abstract accepted for presentation.

12th Annual SWAT4(HC)LS (Semantic Web Applications and Tools for Healthcare and Life Sciences) Conference.
Edinburgh, Scotland, UK
December 9-12, 2019

Funding

1) Chan Zuckerberg Initiative, Imaging Scientists RFA Grant Number: 2019-198155 (5022); 2) NIH U01DA047733

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OWL RDF Ontology Metadata Microscopy Biological Imaging Data Management Data Provenance Data Format Database Management Computational Biology Conceptual Modelling

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The 4DN-OME ontology: an OME-OWL extension with emphasis on usability, minimum information guidelines and quality control for super-resolution fluorescence microscopy

Funding

1) Chan Zuckerberg Initiative, Imaging Scientists RFA Grant Number: 2019-198155 (5022); 2) NIH U01DA047733

History

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