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BIOMERO: A scalable and extensible image analysis framework.
Luik, Torec T; Rosas-Bertolini, Rodrigo; Reits, Eric A J; Hoebe, Ron A; Krawczyk, Przemek M.
Affiliation
  • Luik TT; Amsterdam UMC, Department of Medical Biology, Amsterdam, North-Holland 1105AZ, the Netherlands.
  • Rosas-Bertolini R; Amsterdam UMC, Department of Medical Biology, Amsterdam, North-Holland 1105AZ, the Netherlands.
  • Reits EAJ; Amsterdam UMC, Department of Medical Biology, Amsterdam, North-Holland 1105AZ, the Netherlands.
  • Hoebe RA; Amsterdam UMC, Department of Medical Biology, Amsterdam, North-Holland 1105AZ, the Netherlands.
  • Krawczyk PM; Amsterdam UMC, Department of Medical Biology, Amsterdam, North-Holland 1105AZ, the Netherlands.
Patterns (N Y) ; 5(8): 101024, 2024 Aug 09.
Article in En | MEDLINE | ID: mdl-39233696
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Patterns (N Y) Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Patterns (N Y) Year: 2024 Document type: Article Affiliation country: Country of publication: