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dc.contributor.authorMorris, Lornaen
dc.contributor.authorTsui, Andrewen
dc.contributor.authorCrichton, Charlesen
dc.contributor.authorHarris, Steveen
dc.contributor.authorMaccallum, Peter Hen
dc.contributor.authorHowat, William Jen
dc.contributor.authorDavies, Jimen
dc.contributor.authorBrenton, Jamesen
dc.contributor.authorCaldas, Carlosen
dc.date.accessioned2013-05-20T23:04:57Z
dc.date.available2013-05-20T23:04:57Z
dc.date.issued2013-05-01en
dc.identifier.issn1471-2105
dc.identifier.urihttp://www.dspace.cam.ac.uk/handle/1810/244600
dc.description.abstractAbstract 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.
dc.languageEnglishen
dc.language.isoen
dc.titleA metadata-aware application for remote scoring and exchange of tissue microarray imagesen
dc.typeArticle
dc.date.updated2013-05-20T23:04:57Z
dc.description.versionRIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are.en
dc.rights.holderLorna Morris et al.; licensee BioMed Central Ltd.
prism.publicationDate2013en
dcterms.dateAccepted2013-04-23en
rioxxterms.versionofrecord10.1186/1471-2105-14-147en
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2013-05-01en
dc.contributor.orcidBrenton, James [0000-0002-5738-6683]
dc.contributor.orcidCaldas, Carlos [0000-0003-3547-1489]
dc.identifier.eissn1471-2105
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idMRC (G0300648)


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