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BIOMERO:一个可扩展且可延伸的图像分析框架。

BIOMERO: A scalable and extensible image analysis framework.

作者信息

Luik Torec T, Rosas-Bertolini Rodrigo, Reits Eric A J, Hoebe Ron A, Krawczyk Przemek M

机构信息

Amsterdam UMC, Department of Medical Biology, Amsterdam, North-Holland 1105AZ, the Netherlands.

出版信息

Patterns (N Y). 2024 Jul 18;5(8):101024. doi: 10.1016/j.patter.2024.101024. eCollection 2024 Aug 9.

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.

摘要

在快速发展的生物成像领域,可查找、可访问、可互操作和可重复使用(FAIR)的图像分析工作流程的整合与编排仍然是一项挑战。我们引入了BIOMERO(OMERO中的生物图像分析),它是连接著名的生物成像数据管理平台OMERO、FAIR工作流程和高性能计算(HPC)环境的桥梁。BIOMERO有助于FAIR工作流程的无缝执行,特别是对于来自高内涵或高通量筛选的大型数据集。BIOMERO通过消除对专业知识的需求,使研究人员能够直接从OMERO进行可扩展的图像处理,从而增强了研究人员的能力。值得注意的是,BIOMERO支持在OMERO、Cytomine/BIAFLOWS和其他生物成像社区之间共享和使用FAIR工作流程。BIOMERO将推动FAIR工作流程在生物成像研究领域的广泛采用,强调可重复使用性。其用户友好的界面将使包括没有技术专长的用户在内的用户能够无缝地将这些工作流程应用于他们的数据集,使更广泛的研究社区能够普及人工智能的应用。

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