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dc.contributor.authorOrtega, Samuel
dc.contributor.authorOfstad, Ragni
dc.contributor.authorSyed, Shaheen
dc.contributor.authorKranz, Mathias
dc.contributor.authorHeia, Karsten
dc.contributor.authorAnderssen, Kathryn Elizabeth
dc.date.accessioned2023-04-20T06:17:23Z
dc.date.available2023-04-20T06:17:23Z
dc.date.issued2022-12-23
dc.description.abstractIn recent years, cases of vasskveite (water halibut) syndrome in halibut have been increasing. At the moment, there exists no way to screen for the syndrome immediately after capture, which is problematic for both exporters and purchasers. In this article, we compared good quality halibut and halibut exhibiting the syndrome using a variety of techniques. Hyperspectral imaging was used to quantify the relative amounts of fat and water in the tissue. Diffusion tensor imaging was used to characterize tissue structure. Histology was performed to provide direct visual characterization of the tissue. Results indicate the muscle fibers in afflicted fish exhibit disordered growth and the tissue is lacking in fat. These results are in line with the current theory that the syndrome stems from a nutritional deficiency in the halibut diet. Hyperspectral imaging appears to be a promising technology to rapidly identify afflicted halibut immediately after capture.en_US
dc.identifier.citationOrtega, Ofstad, Syed, Kranz, Heia, Anderssen. Characterization of vasskveite (water halibut) syndrome for automated detection. Applied Food Research. 2023;3(1)en_US
dc.identifier.cristinIDFRIDAID 2137087
dc.identifier.doi10.1016/j.afres.2022.100250
dc.identifier.issn2772-5022
dc.identifier.urihttps://hdl.handle.net/10037/29022
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.journalApplied Food Research
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleCharacterization of vasskveite (water halibut) syndrome for automated detectionen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)