Multispectral Imaging in Combination with Multivariate Analysis Discriminates Selenite Induced Cataractous Lenses from Healthy Lenses of Sprague-Dawley Rats

  • Adueming P
  • Eghan M
  • Anderson B
  • et al.
N/ACitations
Citations of this article
8Readers
Mendeley users who have this article in their library.

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 as-sessments which are weakened by subjectivity. In this work, both cataractous and healthy lens tissues of Sprague-Dawley rats were studied using multispec-tral imaging technique in combination with multivariate analysis. Multispec-tral images were captured in transmission, reflection and scattering modes. In all, five spectral bands were found to be markers for discriminating cataract-ous 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 classify-ing cataractous from healthy lenses were found to be 14.718 × 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.

Cite

CITATION STYLE

APA

Adueming, P. O.-W., Eghan, M. J., Anderson, B., Kyei, S., Opoku-Ansah, J., Amuah, C. L. Y., … Buah-Bassuah, P. K. (2017). Multispectral Imaging in Combination with Multivariate Analysis Discriminates Selenite Induced Cataractous Lenses from Healthy Lenses of Sprague-Dawley Rats. Open Journal of Biophysics, 07(03), 145–156. https://doi.org/10.4236/ojbiphy.2017.73011

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free