Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/28750
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dc.contributor.authorSilva, Polyana Fen_UK
dc.contributor.authorMcGurk, Charlesen_UK
dc.contributor.authorThompson, Kimen_UK
dc.contributor.authorJayasuriya, Nilanthaen_UK
dc.contributor.authorBron, Jamesen_UK
dc.date.accessioned2019-02-12T01:06:07Z-
dc.date.available2019-02-12T01:06:07Z-
dc.date.issued2015-05-01en_UK
dc.identifier.urihttp://hdl.handle.net/1893/28750-
dc.description.abstractVirtual histology, the process of assessing digital images of histological slides, is gaining momentum in modern histopathology and digital image acquisition systems are becoming commonplace. Associated image processing and analysis methods can potentially complement traditional histological assessment methodologies.Image analysis of digitised histological sections, can provide a practical means for quantifying and helping interpretation of functional alterations in an objective and reproducible fashion. This study focused on the development of a practical and time-efficient image capture, processing and analysis pipeline, employing advanced image analysis that was able to identify features of salmon intestine histological sections in a quantitative manner. Through standardisation of the sampling and preparation methodologies, staining protocols and digital capture thresholds and techniques, this assessment system has proven to be an efficient, accurate and objective method, having consistent data outputs when the analysis is performed by different observers with varying levels of expertise in histopathological assessmenten_UK
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.relationSilva P, McGurk C, Thompson K, Jayasuriya N & Bron J (2015) Development of a quantitative semi-automated system for intestinal morphology assessment in Atlantic salmon, using image analysis. Aquaculture, 442, pp. 100-111. https://doi.org/10.1016/j.aquaculture.2015.02.034.en_UK
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.subjectImage analysisen_UK
dc.subjectQuantitative histologyen_UK
dc.subjectHistomorphometric featuresen_UK
dc.subjectDigital histopathologyen_UK
dc.subjectIntestinal histologyen_UK
dc.subjectSalmo salaren_UK
dc.titleDevelopment of a quantitative semi-automated system for intestinal morphology assessment in Atlantic salmon, using image analysisen_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate2999-12-31en_UK
dc.rights.embargoreason[A6_Development of a quantitative.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.identifier.doi10.1016/j.aquaculture.2015.02.034en_UK
dc.citation.jtitleAquacultureen_UK
dc.citation.issn0044-8486en_UK
dc.citation.volume442en_UK
dc.citation.spage100en_UK
dc.citation.epage111en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emailj.e.bron@stir.ac.uken_UK
dc.citation.date04/03/2015en_UK
dc.contributor.affiliationSkretting Aquaculture Research Centreen_UK
dc.contributor.affiliationInstitute of Aquacultureen_UK
dc.contributor.affiliationInstitute of Aquacultureen_UK
dc.contributor.affiliationInstitute of Aquacultureen_UK
dc.identifier.isi000351837100016en_UK
dc.identifier.scopusid2-s2.0-84924690209en_UK
dc.identifier.wtid1077791en_UK
dc.contributor.orcid0000-0003-3544-0519en_UK
dc.date.accepted2015-02-25en_UK
dc.date.firstcompliantdepositdate2018-12-19en_UK
dc.description.refREF Compliant by Deposit in Stirling's Repositoryen_UK
Appears in Collections:Aquaculture Journal Articles

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