数字切片存档：用于癌症研究组织学管理、整合与分析的软件平台。
The Digital Slide Archive: A Software Platform for Management, Integration, and Analysis of Histology for Cancer Research.
作者信息
Gutman David A, Khalilia Mohammed, Lee Sanghoon, Nalisnik Michael, Mullen Zach, Beezley Jonathan, Chittajallu Deepak R, Manthey David, Cooper Lee A D
机构信息
Department of Neurology, Emory University School of Medicine, Atlanta, Georgia.
Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia.
出版信息
Cancer Res. 2017 Nov 1;77(21):e75-e78. doi: 10.1158/0008-5472.CAN-17-0629.
Tissue-based cancer studies can generate large amounts of histology data in the form of glass slides. These slides contain important diagnostic, prognostic, and biological information and can be digitized into expansive and high-resolution whole-slide images using slide-scanning devices. Effectively utilizing digital pathology data in cancer research requires the ability to manage, visualize, share, and perform quantitative analysis on these large amounts of image data, tasks that are often complex and difficult for investigators with the current state of commercial digital pathology software. In this article, we describe the Digital Slide Archive (DSA), an open-source web-based platform for digital pathology. DSA allows investigators to manage large collections of histologic images and integrate them with clinical and genomic metadata. The open-source model enables DSA to be extended to provide additional capabilities. .
基于组织的癌症研究能够以玻片的形式生成大量组织学数据。这些玻片包含重要的诊断、预后和生物学信息，并且可以使用玻片扫描设备数字化为海量的高分辨率全玻片图像。在癌症研究中有效利用数字病理学数据需要具备对这些大量图像数据进行管理、可视化、共享和定量分析的能力，而对于使用当前商用数字病理学软件的研究人员来说，这些任务通常既复杂又困难。在本文中，我们描述了数字玻片存档库（DSA），这是一个基于网络的数字病理学开源平台。DSA允许研究人员管理大量组织学图像集，并将它们与临床和基因组元数据整合。开源模式使DSA能够扩展以提供更多功能。
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