Image analysis of breast cancer immunohistochemistry-stained sections using ImageJ: an RGB-based model

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dc.contributor.authorVrekoussis, T.en
dc.contributor.authorChaniotis, V.en
dc.contributor.authorNavrozoglou, I.en
dc.contributor.authorDousias, V.en
dc.contributor.authorPavlakis, K.en
dc.contributor.authorStathopoulos, E. N.en
dc.contributor.authorZoras, O.en
dc.date.accessioned2015-11-24T19:12:10Z
dc.date.available2015-11-24T19:12:10Z
dc.identifier.issn1791-7530-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/21030
dc.rightsDefault Licence-
dc.subjectAlgorithmsen
dc.subjectAutomationen
dc.subjectBreast Neoplasms/*metabolism/*pathologyen
dc.subjectDiagnostic Imaging/*methodsen
dc.subjectFemaleen
dc.subjectHumansen
dc.subject*Image Processing, Computer-Assisteden
dc.subjectImmunoenzyme Techniquesen
dc.subjectKeratin-19/*metabolismen
dc.subject*Models, Molecularen
dc.subjectReceptors, Estrogen/*metabolismen
dc.subjectSoftwareen
dc.titleImage analysis of breast cancer immunohistochemistry-stained sections using ImageJ: an RGB-based modelen
heal.abstractBACKGROUND: Image analysis of tissue sections using RGB image profiling is a modern accepted technique. MATERIALS AND METHODS: A new method of RGB analysis, using the freeware ImageJ, is presented which can be applied to sections with either nuclear or cytoplasmic staining. The step-by-step process is presented and the method is tested using breast cancer specimens immunostained for CK-19 and estrogen receptors. RESULTS: This image analysis easily discriminates CK-19 and estrogen receptor positivity in prepared breast cancer specimens. The method is easy to perform, without the need for previous image transformations. CONCLUSION: Compared to previous methods, this method proved more accurate in estimating the actual colours that an observer recognizes as positive after immunostaining. Further studies are needed to evaluate whether this method is efficient enough to be applied in clinical practice.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.identifier.secondaryhttp://www.ncbi.nlm.nih.gov/pubmed/20044607-
heal.journalNameAnticancer Researchen
heal.journalTypepeer-reviewed-
heal.languageen-
heal.publicationDate2009-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικήςel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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