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OMERO and Bio-Formats 5: Flexible Access to Large Bioimaging Datasets at Scale

机译:OMERO和Bio-Formats 5:大规模灵活地访问大型生物成像数据集

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The Open Microscopy Environment (OME) has built and released Bio-Formats, a Java-based proprietary file format conversion tool and OMERO, an enterprise data management platform under open source licenses. In this report, we describe new versions of Bio-Formats and OMERO that are specifically designed to support large, multi-gigabyte or terabyte scale datasets that are routinely collected across most domains of biological and biomedical research. Bio-Formats reads image data directly from native proprietary formats, bypassing the need for conversion into a standard format. It implements the concept of a file set, a container that defines the contents of multi-dimensional data comprised of many files. OMERO uses Bio-Formats to read files natively, and provides a flexible access mechanism that supports several different storage and access strategies. These new capabilities of OMERO and Bio-Formats make them especially useful for use in imaging applications like digital pathology. Ingh content screening and light sheet microscopy that create routinely large datasets that must be managed and analyzed.
机译:开放式显微镜环境(OME)已构建并发布了Bio-Formats(一种基于Java的专有文件格式转换工具)和OMERO(经开源许可的企业数据管理平台)。在本报告中,我们描述了新版的Bio-Formats和OMERO,它们专门设计用于支持跨生物学和生物医学研究的大多数领域常规收集的大型,千兆字节或TB级的数据集。生物格式直接从本机专有格式读取图像数据,而无需转换为标准格式。它实现了文件集的概念,文件集是定义包含许多文件的多维数据的内容的容器。 OMERO使用生物格式来本地读取文件,并提供了一种灵活的访问机制,该机制支持几种不同的存储和访问策略。 OMERO和Bio-Formats的这些新功能使它们特别适用于诸如数字病理学之类的成像应用。 Ingh内容筛选和光片显微镜检查可创建常规的大型数据集,必须对其进行管理和分析。

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