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A metadata-aware application for remote scoring and exchange of tissue microarray images.


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Authors

Morris, Lorna 
Tsui, Andrew 
Crichton, Charles 
Harris, Steve 
Maccallum, Peter H 

Abstract

BACKGROUND: The use of tissue microarrays (TMA) and advances in digital scanning microscopy has enabled the collection of thousands of tissue images. There is a need for software tools to annotate, query and share this data amongst researchers in different physical locations. RESULTS: We have developed an open source web-based application for remote scoring of TMA images, which exploits the value of Microsoft Silverlight Deep Zoom to provide a intuitive interface for zooming and panning around digital images. We use and extend existing XML-based standards to ensure that the data collected can be archived and that our system is interoperable with other standards-compliant systems. CONCLUSION: The application has been used for multi-centre scoring of TMA slides composed of tissues from several Phase III breast cancer trials and ten different studies participating in the International Breast Cancer Association Consortium (BCAC). The system has enabled researchers to simultaneously score large collections of TMA and export the standardised data to integrate with pathological and clinical outcome data, thereby facilitating biomarker discovery.

Description

Keywords

Breast Neoplasms, Female, Humans, Image Processing, Computer-Assisted, Internet, Software, Tissue Array Analysis

Journal Title

BMC Bioinformatics

Conference Name

Journal ISSN

1471-2105
1471-2105

Volume Title

Publisher

Springer Science and Business Media LLC
Sponsorship
Medical Research Council (G0300648)