Detection and characterization of glaucoma-like canine retinal tissues using Raman spectroscopy

Qi Wang; Sinisa D Grozdanic; Matthew M Harper; Karl Hamouche; Nicholas Hamouche; Helga Kecova; Tatjana Lazic; Elena Hernandez-Merino; Chenxu Yu

doi:10.1117/1.JBO.18.6.067008

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Detection and characterization of glaucoma-like canine retinal tissues using Raman spectroscopy

Journal article

Open access

Peer reviewed

Detection and characterization of glaucoma-like canine retinal tissues using Raman spectroscopy

Qi Wang, Sinisa D Grozdanic, Matthew M Harper, Karl Hamouche, Nicholas Hamouche, Helga Kecova, Tatjana Lazic, Elena Hernandez-Merino and Chenxu Yu

Journal of biomedical optics, Vol.18(6), pp.067008-067008

06/2013

DOI: 10.1117/1.JBO.18.6.067008

PMID: 23804216

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Abstract

Early detection of pathological changes and progression in glaucoma and other neuroretinal diseases remains a great challenge and is critical to reduce permanent structural and functional retina and optic nerve damage. Raman spectroscopy is a sensitive technique that provides rapid biochemical characterization of tissues in a nondestructive and noninvasive fashion. In this study, spectroscopic analysis was conducted on the retinal tissues of seven beagles with acute elevation of intraocular pressure (AEIOP), six beagles with compressive optic neuropathy (CON), and five healthy beagles. Spectroscopic markers were identified associated with the different neuropathic conditions. Furthermore, the Raman spectra were subjected to multivariate discriminate analysis to classify independent tissue samples into diseased/healthy categories. The multivariate discriminant model yielded an average optimal classification accuracy of 72.6% for AEIOP and 63.4% for CON with 20 principal components being used that accounted for 87% of the total variance in the data set. A strong correlation (R2>0.92) was observed between pattern electroretinography characteristics of AEIOP dogs and Raman separation distance that measures the separation of spectra of diseased tissues from normal tissues; however, the underlining mechanism of this correlation remains to be understood. Since AEIOP mimics the pathological symptoms of acute/early-stage glaucoma, it was demonstrated that Raman spectroscopic screening has the potential to become a powerful tool for the detection and characterization of early-stage disease.

Algorithms

Electroretinography

Multivariate Analysis

Optic Nerve - pathology

Reproducibility of Results

Intraocular Pressure

Glaucoma - diagnosis

Discriminant Analysis

Optic Nerve Diseases - pathology

Animals

Dogs

Spectrum Analysis, Raman

Spectrophotometry

Principal Component Analysis

Retina - pathology

Details

Title: Subtitle: Detection and characterization of glaucoma-like canine retinal tissues using Raman spectroscopy
Creators: Qi Wang - Iowa State University
Sinisa D Grozdanic
Matthew M Harper
Karl Hamouche
Nicholas Hamouche
Helga Kecova
Tatjana Lazic
Elena Hernandez-Merino
Chenxu Yu
Resource Type: Journal article
Publication Details: Journal of biomedical optics, Vol.18(6), pp.067008-067008
DOI: 10.1117/1.JBO.18.6.067008
PMID: 23804216
NLM abbreviation: J Biomed Opt
ISSN: 1560-2281
eISSN: 1560-2281
Publisher: United States
Language: English
Date published: 06/2013
Academic Unit: Biology; Ophthalmology and Visual Sciences
Record Identifier: 9983979961602771

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