论文标题
用于管理和归档数字显微镜数据的开源工具,允许与患者病理和治疗信息集成
Open source tools for management and archiving of digital microscopy data to allow integration with patient pathology and treatment information
论文作者
论文摘要
虚拟显微镜包括组织学载玻片的数字化以及使用计算机技术进行癌症等疾病的复杂研究。但是,自动化图像分析或此类数字图像的网站发布受到其大型文件大小的阻碍。我们已经开发了两个基于Java的开源工具:快照创建者和NDPI-Splitter。 Snapshot Creator将大型数字幻灯片的一部分转换为所需的优质JPEG图像。该图像与澳大利亚乳腺癌组织库(ABCTB)的定制开源癌症数据管理软件(CAISI)中的患者临床和治疗信息有关,然后在ABCTB网站上发布在www.abctb.org.au上,使用深层缩放开源技术。使用ABCTB在线搜索引擎,可以通过定义各种标准(例如癌症类型或表达的生物标志物)来搜索数字图像。 NDPI-Splitter将一个大图像文件拆分为较小的TIFF图像部分,以便可以通过Metamorph或Matlab等图像分析软件轻松分析它们。 NDPI-Splitter还具有过滤空图像的能力。快照创建者和NDPI-Splitter是新颖的开源Java工具。他们将数字幻灯片转换为较小尺寸的文件以进行进一步处理。结合其他开源工具(例如Deep Zoom和Caisis),此套件用于管理和存档数字显微镜图像,从而可以在线探索和缩放数字化的图像。我们的在线图像存储库还可以用作教学资源。这些工具还使大型文件可以分割以进行图像分析。
Virtual microscopy includes digitisation of histology slides and the use of computer technologies for complex investigation of diseases such as cancer. However, automated image analysis, or website publishing of such digital images, is hampered by their large file sizes. We have developed two Java based open source tools: Snapshot Creator and NDPI-Splitter. Snapshot Creator converts a portion of a large digital slide into a desired quality JPEG image. The image is linked to the patients clinical and treatment information in a customised open source cancer data management software (Caisis) in use at the Australian Breast Cancer Tissue Bank (ABCTB) and then published on the ABCTB website www.abctb.org.au using Deep Zoom open source technology. Using the ABCTB online search engine, digital images can be searched by defining various criteria such as cancer type, or biomarkers expressed. NDPI-Splitter splits a large image file into smaller sections of TIFF images so that they can be easily analysed by image analysis software such as Metamorph or Matlab. NDPI-Splitter also has the capacity to filter out empty images. Snapshot Creator and NDPI-Splitter are novel open source Java tools. They convert digital slides into files of smaller size for further processing. In conjunction with other open source tools such as Deep Zoom and Caisis, this suite of tools is used for the management and archiving of digital microscopy images, enabling digitised images to be explored and zoomed online. Our online image repository also has the capacity to be used as a teaching resource. These tools also enable large files to be sectioned for image analysis.