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PhenoImageShare: an image annotation and query infrastructure.

Solomon Adebayo1, Kenneth McLeod2, Ilinca Tudose3

  • 1MRC Human Genetics Unit, IGMM, University of Edinburgh, Crewe Road, Edinburgh, UK.

Journal of Biomedical Semantics
|June 9, 2016
PubMed
Summary
This summary is machine-generated.

PhenoImageShare offers a new platform for managing and annotating high-throughput imaging data. This tool improves community access to image data through an integrated, searchable collection.

Keywords:
Genotype-phenotype associationsImage annotationSemantic annotation

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Area of Science:

  • Biological imaging
  • Data management
  • Scientific collaboration

Background:

  • High-throughput imaging generates large datasets, posing challenges in data management and annotation.
  • Consistent annotation and community accessibility are critical for biological image data.

Purpose of the Study:

  • To develop a platform for querying and annotating federated biological images.
  • To provide programmatic and user-facing tools for biologists.

Main Methods:

  • Developed PhenoImageShare, an ontology-enabled image data query and annotation service.
  • Integrated a Solr server for programmatic access to an image collection.
  • Implemented an online annotation tool with region-of-interest drawing and ontology lookup.

Main Results:

  • PhenoImageShare provides a single point of access for an integrated image collection.
  • The platform supports programmatic access and an intuitive, semantic search interface.
  • Currently provides access to annotation for over 100,000 images across 2 species.

Conclusions:

  • PhenoImageShare offers essential infrastructure for querying and annotating federated images.
  • The platform facilitates both programmatic and user-driven access to biological image data.
  • Accessible online at http://www.phenoimageshare.org.