The Digital Slide Archive: A Software Platform for Management, Integration, and Analysis of Histology for Cancer Research

被引:98
|
作者
Gutman, David A. [1 ,2 ,3 ]
Khalilia, Mohammed [1 ]
Lee, Sanghoon [1 ]
Nalisnik, Michael [2 ]
Mullen, Zach [4 ]
Beezley, Jonathan [4 ]
Chittajallu, Deepak R. [4 ]
Manthey, David [4 ]
Cooper, Lee A. D. [2 ,3 ,5 ]
机构
[1] Emory Univ, Sch Med, Dept Neurol, Atlanta, GA 30322 USA
[2] Emory Univ, Sch Med, Dept Biomed Informat, Atlanta, GA 30322 USA
[3] Emory Univ, Winship Canc Inst, Atlanta, GA 30322 USA
[4] Kitware Inc, Clifton Pk, NY USA
[5] Emory Univ, Dept Biomed Engn, Sch Med, Georgia Inst Technol, Atlanta, GA 30322 USA
关键词
D O I
10.1158/0008-5472.CAN-17-0629
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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 wholeslide 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. (C) 2017 AACR.
引用
收藏
页码:E75 / E78
页数:4
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