Predictive assessment of kidney functional recovery following ischemic injury using optical spectroscopy

Rajesh N. Raman; Christopher D. Pivetti; Rajendra Ramsamooj; Christoph Troppmann; Stavros G. Demos

doi:10.1117/1.JBO.22.5.056001

3 May 2017 Predictive assessment of kidney functional recovery following ischemic injury using optical spectroscopy

Rajesh N. Raman, Christopher D. Pivetti, Rajendra Ramsamooj, Christoph Troppmann, Stavros G. Demos

Author Affiliations +

Funded by: US Department of Energy, National Nuclear Security Administration, U.S. Department of Energy (DOE), Lawrence Livermore Nat. Lab., U.S. Department of Energy by Lawrence Livermore National Laboratory, Lawrence Livermore National Laboratory, U.S. Department of Energy, NSF, NSF Science and Technology Center, Center for Biophotonics Science and Technology

Journal of Biomedical Optics, Vol. 22, Issue 5, 056001 (May 2017). https://doi.org/10.1117/1.JBO.22.5.056001

Abstract

Functional changes in rat kidneys during the induced ischemic injury and recovery phases were explored using multimodal autofluorescence and light scattering imaging. The aim is to evaluate the use of noncontact optical signatures for rapid assessment of tissue function and viability. Specifically, autofluorescence images were acquired in vivo under 355, 325, and 266 nm illumination while light scattering images were collected at the excitation wavelengths as well as using relatively narrowband light centered at 500 nm. The images were simultaneously recorded using a multimodal optical imaging system. The signals were analyzed to obtain time constants, which were correlated to kidney dysfunction as determined by a subsequent survival study and histopathological analysis. Analysis of both the light scattering and autofluorescence images suggests that changes in tissue microstructure, fluorophore emission, and blood absorption spectral characteristics, coupled with vascular response, contribute to the behavior of the observed signal, which may be used to obtain tissue functional information and offer the ability to predict posttransplant kidney function.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Rajesh N. Raman, Christopher D. Pivetti, Rajendra Ramsamooj, Christoph Troppmann, and Stavros G. Demos "Predictive assessment of kidney functional recovery following ischemic injury using optical spectroscopy," Journal of Biomedical Optics 22(5), 056001 (3 May 2017). https://doi.org/10.1117/1.JBO.22.5.056001

Received: 30 September 2016; Accepted: 4 April 2017; Published: 3 May 2017

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