Semantic Web Applications and Tools for Healthcare and Life Sciences
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OME Ontology: A Novel Data and Tool Integration Methodology for Multi-Modal Imaging in the Life Sciences

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journal contribution
posted on 2018-12-01, 15:54 authored by Norio Kobayashi, Satoshi Kume, Josh MooreJosh Moore, Jason R. Swedlow
The Open Microscopy Environment (OME) platform OMERO is a web-based platform that realises a secure repository for light microscopy imaging data. Users can view, organise, analyse and share their imaging data. Given the importance of imaging in the life sciences, the imaging data in various datasets, including multi-omics and multi-modal imaging datasets, should be integrated. To this end, we are developing an ontology that integrates these datasets. We have already defined a light microscopy imaging ontology by translating the XML-based OME data model. This ontology has since been extended with a multi-modal imaging ontology with electron microscopy, X-ray computed tomography (CT) and magnetic resonance imaging (MRI) data. In a preliminary investigation, the extended ontology described the multimodal imaging metadata of RIKEN. This poster presents the details of the ontology, and our progress in publishing RDF-based multi-modal imaging metadata.


JSPS KAKENHI grant numbers 15K16536, 17K00434, 17K00424 and 18K19766