The digital slide archive: A software platform for management, integration, and analysis of histology for cancer research

David A. Gutman*, Mohammed Khalilia, Sanghoon Lee, Michael Nalisnik, Zach Mullen, Jonathan Beezley, Deepak R. Chittajallu, David Manthey, Lee Alex Donald Cooper

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)e75-e78
JournalCancer Research
Volume77
Issue number21
DOIs
StatePublished - Nov 1 2017

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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