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BIOMERO: A scalable and extensible image analysis framework

  • Emma Center for Personalized Medicine

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

In the rapidly evolving field of bioimaging, the integration and orchestration of findable, accessible, interoperable, and reusable (FAIR) image analysis workflows remains a challenge. We introduce BIOMERO (bioimage analysis in OMERO), a bridge connecting OMERO, a renowned bioimaging data management platform; FAIR workflows; and high-performance computing (HPC) environments. BIOMERO facilitates seamless execution of FAIR workflows, particularly for large datasets from high-content or high-throughput screening. BIOMERO empowers researchers by eliminating the need for specialized knowledge, enabling scalable image processing directly from OMERO. BIOMERO notably supports the sharing and utilization of FAIR workflows between OMERO, Cytomine/BIAFLOWS, and other bioimaging communities. BIOMERO will promote the widespread adoption of FAIR workflows, emphasizing reusability, across the realm of bioimaging research. Its user-friendly interface will empower users, including those without technical expertise, to seamlessly apply these workflows to their datasets, democratizing the utilization of AI by the broader research community.
Original languageEnglish
Article number101024
JournalPatterns
Volume5
Issue number8
DOIs
Publication statusPublished - 9 Aug 2024

Keywords

  • BIAFLOWS
  • Cytomine
  • FAIR workflows
  • OMERO
  • Slurm
  • bioimaging
  • high-content screening
  • high-performance computing
  • high-throughput screening
  • image analysis

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