Research Papers: Sensing

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

[+] Author Affiliations
Qi Wang, Karl Hamouche, Chenxu Yu

Iowa State University, Department of Agricultural and Biosystems Engineering, Ames, Iowa 50011

Sinisa D. Grozdanic, Matthew M. Harper, Helga Kecova, Tatjana Lazic, Elena Hernandez-Merino

US Veterans Affairs Center for the Prevention and Treatment of Visual Loss, 601 HWY 6 West, Iowa City, Iowa 52246

Nicholas Hamouche

MacFarland Clinic Eye Center, 1128 Duff Avenue, Ames, Iowa 50011

J. Biomed. Opt. 18(6), 067008 (Jun 26, 2013). doi:10.1117/1.JBO.18.6.067008
History: Received October 16, 2012; Revised May 29, 2013; Accepted May 30, 2013
Text Size: A A A

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.

Figures in this Article
© 2013 Society of Photo-Optical Instrumentation Engineers

Citation

Qi Wang ; Sinisa D. Grozdanic ; Matthew M. Harper ; Karl Hamouche ; Nicholas Hamouche, et al.
"Detection and characterization of glaucoma-like canine retinal tissues using Raman spectroscopy", J. Biomed. Opt. 18(6), 067008 (Jun 26, 2013). ; http://dx.doi.org/10.1117/1.JBO.18.6.067008


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.