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Multispectral imaging in combination with multivariate analysis discriminates selenite induced cataractous lenses from healthy lenses of sprague-dawley rats

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dc.contributor.author Adueming, Peter Osei-Wusu
dc.contributor.author Eghan, Moses Jojo
dc.contributor.author Anderson, Benjamin
dc.contributor.author Kyei, Samuel
dc.contributor.author Opoku-Ansah, Jerry
dc.contributor.author Amuah, Charles L. Y.
dc.contributor.author Sackey, Samuel Sonko
dc.contributor.author Buah-Bassuah, Paul Kingsley
dc.date.accessioned 2021-10-25T12:18:26Z
dc.date.available 2021-10-25T12:18:26Z
dc.date.issued 2017-07-07
dc.identifier.issn 23105496
dc.identifier.uri http://hdl.handle.net/123456789/6239
dc.description 13p:, ill. en_US
dc.description.abstract Cataracts are the leading cause of blindness worldwide. Current methods for discriminating cataractous lenses from healthy lenses of Sprague-Dawley rats during preclinical studies are based on either histopathological or clinical assessments which are weakened by subjectivity. In this work, both cataractous and healthy lens tissues of Sprague-Dawley rats were studied using multispectral imaging technique in combination with multivariate analysis. Multispectral images were captured in transmission, reflection and scattering modes. In all, five spectral bands were found to be markers for discriminating cataractous lenses from healthy lenses; 470 nm and 625 nm discriminated in reflection mode whereas 435 nm, 590 nm and 700 nm discriminated in transmission mode. With Fisher’s Linear discriminant analysis, the midpoints for classifying cataractous from healthy lenses were found to be14.718 × 10−14 and 3.2374 × 10 −14 for the two spectra bands in the reflection mode and the three spectral bands in the transmission mode respectively. Images in scattering mode did not show significant discrimination. These spectral bands in reflection and transmission modes may offer potential diagnostic markers for discriminating cataractous lenses from healthy lenses thereby promising multispectral imaging applications for characterizing cataractous and healthy lenses en_US
dc.language.iso en en_US
dc.publisher University of Cape Coast en_US
dc.subject Multispectral Imaging en_US
dc.subject Cataractous Lenses en_US
dc.subject Principal component analysis en_US
dc.subject Fisher’s linear discriminant analysis en_US
dc.title Multispectral imaging in combination with multivariate analysis discriminates selenite induced cataractous lenses from healthy lenses of sprague-dawley rats en_US
dc.type Article en_US


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