Share Email Print

Proceedings Paper

Optical spectroscopy approach for the predictive assessment of kidney functional recovery following ischemic injury
Author(s): Rajesh N. Raman; Christopher D. Pivetti; Alexander M. Rubenchik; Dennis L. Matthews; Christoph Troppmann; Stavros G. Demos
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Tissue that has undergone significant yet unknown amount of ischemic injury is frequently encountered in organ transplantation and trauma clinics. With no reliable real-time method of assessing the degree of injury incurred in tissue, surgeons generally rely on visual observation which is subjective. In this work, we investigate the use of optical spectroscopy methods as a potentially more reliable approach. Previous work by various groups was strongly suggestive that tissue autofluorescence from NADH obtained under UV excitation is sensitive to metabolic response changes. To test and expand upon this concept, we monitored autofluorescence and light scattering intensities of injured vs. uninjured rat kidneys via multimodal imaging under 355 nm, 325 nm, and 266 nm excitation as well as scattering under 500 nm illumination. 355 nm excitation was used to probe mainly NADH, a metabolite, while 266 nm excitation was used to probe mainly tryptophan to correct for non-metabolic signal artifacts. The ratio of autofluorescence intensities derived under these two excitation wavelengths was calculated and its temporal profile was fit to a relaxation model. Time constants were extracted, and longer time constants were associated with kidney dysfunction. Analysis of both the autofluorescence and light scattering images suggests that changes in microstructure tissue morphology, blood absorption spectral characteristics, and pH contribute to the behavior of the observed signal which may be used to obtain tissue functional information and offer predictive capability.

Paper Details

Date Published: 23 February 2010
PDF: 7 pages
Proc. SPIE 7561, Optical Biopsy VII, 756109 (23 February 2010); doi: 10.1117/12.842413
Show Author Affiliations
Rajesh N. Raman, Lawrence Livermore National Lab. (United States)
Christopher D. Pivetti, Univ. of California, Davis Medical Ctr. (United States)
Alexander M. Rubenchik, Lawrence Livermore National Lab. (United States)
Dennis L. Matthews, Univ. of California, Davis (United States)
Christoph Troppmann, Univ. of California, Davis Medical Ctr. (United States)
Stavros G. Demos, Lawrence Livermore National Lab. (United States)

Published in SPIE Proceedings Vol. 7561:
Optical Biopsy VII
Robert R. Alfano, Editor(s)

© SPIE. Terms of Use
Back to Top