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Journal of Biomedical Optics

Extraction of optical properties and prediction of light distribution in rat brain tissue
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Paper Abstract

Predicting the distribution of light inside any turbid media, such as biological tissue, requires detailed information about the optical properties of the medium, including the absorption and scattering coefficients and the anisotropy factor. Particularly, in biophotonic applications where photons directly interact with the tissue, this information translates to system design optimization, precision in light delivery, and minimization of unintended consequences, such as phototoxicity or photobleaching. In recent years, optogenetics has opened up a new area in deep brain stimulation with light and the method is widely adapted by researchers for the study of the brain circuitries and the dynamics of neurological disorders. A key factor for a successful optogenetic stimulation is delivering an adequate amount of light to the targeted brain objects. The adequate amount of light needed to stimulate each brain object is identified by the tissue optical properties as well as the type of opsin expressed in the tissue, wavelength of the light, and the physical dimensions of the targeted area. Therefore, to implement a precise light delivery system for optogenetics, detailed information about the optical properties of the brain tissue and a mathematical model that incorporates all determining factors is needed to find a good estimation of light distribution in the brain. In general, three measurements are required to obtain the optical properties of any tissue, namely diffuse transmitted light, diffuse reflected light, and transmitted ballistic beam. In this report, these parameters were measured

Paper Details

Date Published: 4 July 2014
PDF: 11 pages
J. Biomed. Opt. 19(7) 075001 doi: 10.1117/1.JBO.19.7.075001
Published in: Journal of Biomedical Optics Volume 19, Issue 7
Show Author Affiliations
Mehdi Azimipour, Univ. of Wisconsin-Milwaukee (United States)
Ryan Baumgartner, Univ. of Wisconsin-Milwaukee (United States)
Yuming Liu, Univ. of Wisconsin-Madison (United States)
Steven L. Jacques, Oregon Health & Science Univ. (United States)
Kevin W. Eliceiri, Univ. of Wisconsin-Madison (United States)
Ramin Pashaie, Univ. of Wisconsin-Milwaukee (United States)

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