Literature DB >> 24996660

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

Mehdi Azimipour1, Ryan Baumgartner1, Yuming Liu2, Steven L Jacques3, Kevin Eliceiri2, Ramin Pashaie1.   

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 in vitro using intact rat brain slices of 500 μm thickness via a two-integrating spheres optical setup. Then, an inverse adding doubling method was used to extract the optical properties of the tissue from the collected data. These experiments were repeated to cover the whole brain tissue with high spatial resolution for the three different cuts (transverse, sagittal, and coronal) and three different wavelengths (405, 532, and 635 nm) in the visible range of the spectrum. A three-dimensional atlas of the rat brain optical properties was constructed based on the experimental measurements. This database was linked to a Monte Carlo toolbox to simulate light distribution in the tissue for different light source configurations.

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Year:  2014        PMID: 24996660     DOI: 10.1117/1.JBO.19.7.075001

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  22 in total

1.  OptogenSIM: a 3D Monte Carlo simulation platform for light delivery design in optogenetics.

Authors:  Yuming Liu; Steven L Jacques; Mehdi Azimipour; Jeremy D Rogers; Ramin Pashaie; Kevin W Eliceiri
Journal:  Biomed Opt Express       Date:  2015-11-16       Impact factor: 3.732

2.  Transparent intracortical microprobe array for simultaneous spatiotemporal optical stimulation and multichannel electrical recording.

Authors:  Joonhee Lee; Ilker Ozden; Yoon-Kyu Song; Arto V Nurmikko
Journal:  Nat Methods       Date:  2015-10-12       Impact factor: 28.547

3.  Fluorescence laminar optical tomography for brain imaging: system implementation and performance evaluation.

Authors:  Mehdi Azimipour; Mahya Sheikhzadeh; Ryan Baumgartner; Patrick K Cullen; Fred J Helmstetter; Woo-Jin Chang; Ramin Pashaie
Journal:  J Biomed Opt       Date:  2017-01-01       Impact factor: 3.170

4.  FEF inactivation with improved optogenetic methods.

Authors:  Leah Acker; Erica N Pino; Edward S Boyden; Robert Desimone
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-02       Impact factor: 11.205

5.  Correction of an adding-doubling inversion algorithm for the measurement of the optical parameters of turbid media.

Authors:  Paul Lemaillet; Catherine C Cooksey; Jeeseong Hwang; Heidrun Wabnitz; Dirk Grosenick; Lin Yang; David W Allen
Journal:  Biomed Opt Express       Date:  2017-12-04       Impact factor: 3.732

6.  Spatially resolved measurements of ballistic and total transmission in microscale tissue samples from 450 nm to 1624 nm.

Authors:  Aaron T Mok; Jamien Shea; Chunyan Wu; Fei Xia; Rose Tatarsky; Nilay Yapici; Chris Xu
Journal:  Biomed Opt Express       Date:  2021-12-21       Impact factor: 3.732

7.  Engineered Axonal Tracts as "Living Electrodes" for Synaptic-Based Modulation of Neural Circuitry.

Authors:  Mijail D Serruya; James P Harris; Dayo O Adewole; Laura A Struzyna; Justin C Burrell; Ashley Nemes; Dmitriy Petrov; Reuben H Kraft; H Isaac Chen; John A Wolf; D Kacy Cullen
Journal:  Adv Funct Mater       Date:  2017-09-04       Impact factor: 18.808

8.  Analyzing the relationship between decorrelation time and tissue thickness in acute rat brain slices using multispeckle diffusing wave spectroscopy.

Authors:  Joshua Brake; Mooseok Jang; Changhuei Yang
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2016-02-01       Impact factor: 2.129

9.  3D Monte Carlo simulation of light distribution in mouse brain in quantitative photoacoustic computed tomography.

Authors:  Yuqi Tang; Junjie Yao
Journal:  Quant Imaging Med Surg       Date:  2021-03

Review 10.  Defining inhibitory neurone function in respiratory circuits: opportunities with optogenetics?

Authors:  Ana Paula Abdala; Julian F R Paton; Jeffrey C Smith
Journal:  J Physiol       Date:  2014-12-22       Impact factor: 5.182

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