4 July 2014 Extraction of optical properties and prediction of light distribution in rat brain tissue
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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
© 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)
Mehdi Azimipour, Ryan Baumgartner, Yuming Liu, Steven L. Jacques, Kevin W. Eliceiri, Ramin Pashaie, "Extraction of optical properties and prediction of light distribution in rat brain tissue," Journal of Biomedical Optics 19(7), 075001 (4 July 2014). https://doi.org/10.1117/1.JBO.19.7.075001 . Submission:
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