{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T00:45:46Z","timestamp":1740185146357,"version":"3.37.3"},"reference-count":15,"publisher":"Oxford University Press (OUP)","issue":"18","license":[{"start":{"date-parts":[[2021,3,4]],"date-time":"2021-03-04T00:00:00Z","timestamp":1614816000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"Prostate Cancer Research","award":["1156027"],"award-info":[{"award-number":["1156027"]}]},{"name":"King\u2019s Development Fund"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,29]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>Tissue array (TA) staining, combined with whole slide imaging (WSI) methods facilitate discovery of biomarkers for diagnosis, prognostication and disease stratification. A key impediment in TA WSI analysis is handling missing tissue and artefacts when identifying tissue cores before quantitative, standardized downstream analysis. There is a need for an open access, user friendly, integrated analysis of the WSI generated using TAs in clinical and scientific research laboratories.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>We have developed QuArray (Quantitative Array Application) for image export and signal analysis of TAs using WSI. The application input is a WSI and a corresponding TA configuration file. QuArray identifies and exports core images and analyses chromogen staining in a simple graphical user interface. Output data is saved to file for further analysis including indexed data.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availabilityand implementation<\/jats:title>\n                  <jats:p>Available for download from https:\/\/github.com\/c-arthurs\/QuArray under an MIT licence.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btab119","type":"journal-article","created":{"date-parts":[[2021,3,2]],"date-time":"2021-03-02T20:12:06Z","timestamp":1614715926000},"page":"3082-3083","source":"Crossref","is-referenced-by-count":0,"title":["QuArray: an application for tissue array whole slide image export and signal analysis"],"prefix":"10.1093","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8508-3754","authenticated-orcid":false,"given":"Callum","family":"Arthurs","sequence":"first","affiliation":[{"name":"Prostate Cancer Research Centre at the Centre for Stem Cells and Regenerative Medicine, King\u2019s College London , SE1 9RT London, UK"}]},{"given":"Aamir","family":"Ahmed","sequence":"additional","affiliation":[{"name":"Prostate Cancer Research Centre at the Centre for Stem Cells and Regenerative Medicine, King\u2019s College London , SE1 9RT London, UK"}]}],"member":"286","published-online":{"date-parts":[[2021,3,4]]},"reference":[{"key":"2023061310534893400_btab119-B1","doi-asserted-by":"crossref","first-page":"e0186047","DOI":"10.1371\/journal.pone.0186047","article-title":"Expression of ribosomal proteins in normal and cancerous human prostate tissue","volume":"12","author":"Arthurs","year":"2017","journal-title":"PLoS One"},{"key":"2023061310534893400_btab119-B2","doi-asserted-by":"crossref","first-page":"16878","DOI":"10.1038\/s41598-017-17204-5","article-title":"QuPath: open source software for digital pathology image analysis","volume":"7","author":"Bankhead","year":"2017","journal-title":"Sci. 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