standards > terminology artifact > bsg-s001430

in development Open Microscopy Environment Ontology

Abbreviation: OME-OWL

General Information
The Open Microscopy Environment Ontology (OME-OWL) is a light microscopy imaging ontology that has been developed through translation of the OME data model. The aim of this ontology is to support multi-modal imaging technologies and integrate life-science metadata to enable comprehensive image analyses. The core concepts extracted from the OME Data model include project, experiment, instrument, image, screen, plate and region of interest. The ontology has been extended to include electron microscopy, X-ray computed tomography (CT) and magnetic resonance imaging (MRI).

Awaiting DOI assignment.

This record is maintained by joshmoore  ORCID

Record added: Jan. 21, 2020, 10:31 a.m.
Record updated: Jan. 21, 2020, 10:31 a.m. by The FAIRsharing Team.

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Additional Information


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OME Ontology: A Novel Data and Tool Integration Methodology for Multi-Modal Imaging in the Life Sciences.

Kobayashi, Norio; Kume, Satoshi; Moore, Josh; Swedlow, Jason R.
figshare (poster) 2018

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Implementing Databases (1)
OMERO is client-server software for visualization, management and analysis of biological microscope images.

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Grant Number(s)

  • 5K16536,17K00434, 17K00424 and 18K19766 (Japan Society for the Promotion of Science, Tokyo, Japan)