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dc.contributor.authorHumphries, MP
dc.contributor.authorMaxwell, P
dc.contributor.authorSalto-Tellez, M
dc.date.accessioned2021-05-24T08:21:43Z
dc.date.available2021-05-24T08:21:43Z
dc.date.issued2021-01-21
dc.identifier.citationComputational and structural biotechnology journal, 2021, 19 pp. 852 - 859
dc.identifier.issn2001-0370
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/4574
dc.identifier.eissn2001-0370
dc.identifier.eissn2001-0370en_US
dc.identifier.doi10.1016/j.csbj.2021.01.022
dc.identifier.doi10.1016/j.csbj.2021.01.022en_US
dc.description.abstractQuPath, originally created at the Centre for Cancer Research & Cell Biology at Queen's University Belfast as part of a research programme in digital pathology (DP) funded by Invest Northern Ireland and Cancer Research UK, is arguably the most wildly used image analysis software program in the world. On the back of the explosion of DP and a need to comprehensively visualise and analyse whole slides images (WSI), QuPath was developed to address the many needs associated with tissue based image analysis; these were several fold and, predominantly, translational in nature: from the requirement to visualise images containing billions of pixels from files several GBs in size, to the demand for high-throughput reproducible analysis, which the paradigm of routine visual pathological assessment continues to struggle to deliver. Resultantly, large-scale biomarker quantification must increasingly be augmented with DP. Here we highlight the impact of the open source Quantitative Pathology & Bioimage Analysis DP system since its inception, by discussing the scope of scientific research in which QuPath has been cited, as the system of choice for researchers.
dc.formatElectronic-eCollection
dc.format.extent852 - 859
dc.languageeng
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleQuPath: The global impact of an open source digital pathology system.
dc.typeJournal Article
dcterms.dateAccepted2021-01-14
rioxxterms.versionVoR
rioxxterms.versionofrecord10.1016/j.csbj.2021.01.022
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2021-01-21
rioxxterms.licenseref.startdate2021-01-21en_US
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfComputational and structural biotechnology journal
pubs.notesNot known
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Integrated Pathology
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Integrated Pathology
pubs.publication-statusPublished
pubs.volume19en_US
pubs.embargo.termsNot known
icr.researchteamIntegrated Pathology
icr.researchteamIntegrated Pathologyen_US
dc.contributor.icrauthorSalto-Tellez, Manuelen


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