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, a bridge connecting OMERO, a renowned bioimaging data management platform, FAIR workflows and high-performance computing (HPC) environments. BIOMERO, featuring our opensource Python library "OMERO Slurm Client", 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.

翻译：在快速发展的生物成像领域，可查找、可访问、可互操作和可复用（FAIR）图像分析工作流的集成与编排仍是一项挑战。我们提出了BIOMERO，一座连接知名生物成像数据管理平台OMERO、FAIR工作流与高性能计算（HPC）环境的桥梁。BIOMERO采用我们开源的Python库"OMERO Slurm Client"，可促进FAIR工作流的无缝执行，尤其适用于来自高内涵或高通量筛选的大规模数据集。BIOMERO通过消除对专业知识的依赖，赋能研究人员直接通过OMERO进行可扩展的图像处理。该平台显著支持OMERO、Cytomine/BIAFLOWS及其他生物成像社区之间FAIR工作流的共享与利用。BIOMERO将推动FAIR工作流（强调可复用性）在生物成像研究领域的广泛采用。其用户友好型界面使包括无技术背景用户在内的研究者能够轻松将工作流应用于自身数据集，从而促进人工智能在更广泛研究群体中的民主化应用。