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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: Feb. 24, 2021, 10:34 a.m. by The FAIRsharing Team.

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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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Related Databases (1)
Image Data Resource
IDR is a prototype platform for publishing, mining and integrating bioimaging data at scale, following the Euro-BioImaging/ELIXIR imaging strategy using the OMERO and Bio-Formats open source software built by the Open Microscopy Environment. Deployed on an OpenStack cloud running on the EMBL-EBI’s Embassy resource, it includes image data linked to independent studies from genetic, RNAi, chemical, localisation and geographic high content screens, super-resolution microscopy, and digital pathology.

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Grant Number(s)

  • 17K00424 (Japan Society for the Promotion of Science, Tokyo, Japan)

  • 17K00434 (Japan Society for the Promotion of Science, Tokyo, Japan)

  • 18K19766 (Japan Society for the Promotion of Science, Tokyo, Japan)

  • 5K16536 (Japan Society for the Promotion of Science, Tokyo, Japan)