We introduce the RIKEN Microstructural Imaging Metadatabase, a semantic web-based imaging database in which image metadata are described using the Resource Description Framework (RDF) and detailed biological properties observed in the images can be represented as Linked Open Data. The metadata are used to develop a large-scale imaging viewer that provides a straightforward graphical user interface to visualise a large microstructural tiling image at the gigabyte level. We applied the database to accumulate comprehensive microstructural imaging data produced by automated scanning electron microscopy. As a result, we have successfully managed vast numbers of images and their metadata, including the interpretation of morphological phenotypes occurring in sub-cellular components and biosamples captured in the images. We also discuss advanced utilisation of morphological imaging data that can be promoted by this database.
翻译:我们引入了RIKEN 微结构成像元数据基,这是一个语义网络成像数据库,其中使用资源描述框架描述图像元数据,图像中观察到的详细生物特性可以作为链接的开放数据表示,元数据用于开发一个大型成像查看器,提供直观的图形用户界面,在千兆字节一级可视化一个大型微结构平面图像。我们利用该数据库积累了自动扫描电子显微镜生成的综合微结构成像数据。结果,我们成功管理了大量图像及其元数据,包括对子细胞组成部分和图像中采集的生物样本中出现的形态型的解读。我们还讨论了该数据库可以促进的形态成像数据的先进利用。