3D Monte Carlo model with direct photon flux recording for optimal optogenetic light delivery

被引:0
作者
Shin, Younghoon [1 ,2 ]
Kim, Dongmok [1 ,2 ]
Lee, Jihoon [1 ,2 ]
Kwon, Hyuk-Sang [1 ,2 ,3 ]
机构
[1] Dept Biomed Sci & Engn, 123 Cheomdan Gwagiro, Gwangju 61005, South Korea
[2] Gwangju Inst Sci & Technol, 123 Cheomdan Gwagiro, Gwangju 61005, South Korea
[3] Gwangju Inst Sci & Technol, Dept Mech Engn, 123 Cheomdan Gwagiro, Gwangju 61005, South Korea
来源
OPTOGENETICS AND OPTICAL MANIPULATION | 2017年 / 10052卷
基金
新加坡国家研究基金会;
关键词
optogenetics; modeling of stimulating light in optogenetics; Monte Carlo simulation; light propagation in tissue; DESIGN; BRAIN; MEDIA;
D O I
10.1117/12.2250679
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Configuring the light power emitted from the optical fiber is an essential first step in planning in-vivo optogenetic experiments. However, diffusion theory, which was adopted for optogenetic research, precluded accurate estimates of light intensity in the semi-diffusive region where the primary locus of the stimulation is located. We present a 3D Monte Carlo model that provides an accurate and direct solution for light distribution in this region. Our method directly records the photon trajectory in the separate volumetric grid planes for the near-source recording efficiency gain, and it incorporates a 3D brain mesh to support both homogeneous and heterogeneous brain tissue. We investigated the light emitted from optical fibers in brain tissue in 3D, and we applied the results to design optimal light delivery parameters for precise optogenetic manipulation by considering the fiber output power, wavelength, fiber-to-target distance, and the area of neural tissue activation.
引用
收藏
页数:5
相关论文
共 50 条
  • [41] Tetrahedral elements in self-consistent parallel 3D Monte Carlo simulations of MOSFETs
    M. Aldegunde
    A. J. García-Loureiro
    A. Martinez
    K. Kalna
    Journal of Computational Electronics, 2008, 7 : 201 - 204
  • [42] 3D Monte Carlo Analysis of Discrete Dopant Effects on Electron noise in Si Devices
    Dollfus, P.
    Velazquez, J. E.
    Bournel, A.
    Galdin-Retailleau, S.
    JOURNAL OF COMPUTATIONAL ELECTRONICS, 2004, 3 (3-4) : 311 - 315
  • [43] A Parallel Mode Optimized GPU Accelerated Monte Carlo Model for Light Propagation in 3-D Voxelized Bio-Tissues
    Fang, Xiang
    Li, Hao
    Liu, Weichao
    Li, Yingxin
    Li, Ting
    IEEE ACCESS, 2019, 7 : 81593 - 81598
  • [44] Development, Monte Carlo simulations and experimental evaluation of a 3D range-modulator for a complex target in scanned proton therapy
    Simeonov, Yuri
    Weber, Uli
    Schuy, Christoph
    Engenhart-Cabillic, Rita
    Penchev, Petar
    Flatten, Veronika
    Zink, Klemens
    BIOMEDICAL PHYSICS & ENGINEERING EXPRESS, 2022, 8 (03):
  • [45] Spectrum simulation of rough and nanostructured targets from their 2D and 3D image by Monte Carlo methods
    Schiettekatte, Francois
    Chicoine, Martin
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS, 2016, 371 : 106 - 110
  • [46] Measurements and 3D Monte Carlo simulation of MeV ion transmission through conical glass capillaries
    Simon, M. J.
    Zhou, C. L.
    Doebeli, M.
    Cassimi, A.
    Monnet, I.
    Mery, A.
    Grygiel, C.
    Guillous, S.
    Madi, T.
    Benyagoub, A.
    Lebius, H.
    Mueller, A. M.
    Shiromaru, H.
    Synal, H. -A.
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS, 2014, 330 : 11 - 17
  • [47] Modeling the impact of prostate edema on LDR brachytherapy: a Monte Carlo dosimetry study based on a 3D biphasic finite element biomechanical model
    Mountris, K. A.
    Bert, J.
    Noailly, J.
    Rodriguez Aguilera, A.
    Valeri, A.
    Pradier, O.
    Schick, U.
    Promayon, E.
    Gonzalez Ballester, M. A.
    Troccaz, J.
    Visvikis, D.
    PHYSICS IN MEDICINE AND BIOLOGY, 2017, 62 (06) : 2087 - 2102
  • [48] An Optimal Layout Model of Curved Panels for Using 3D Printing
    Cha, Minsu
    Kim, Chang-Won
    Lee, Taehee
    Kim, Baek-Joong
    Cho, Hunhee
    Kim, Taehoon
    Lim, Hyunsu
    SUSTAINABILITY, 2022, 14 (21)
  • [49] Efficacy of 3D Monte Carlo Simulations vis-à-vis 2D in the Estimation of Pi: A Multifaceted Approach
    Verma M.
    Thapliyal V.
    Mishra A.
    Rani S.
    International Journal of Applied and Computational Mathematics, 2024, 10 (2)
  • [50] A thorough study of Si nanowire FETs with 3D Multi-Subband Ensemble Monte Carlo simulations
    Donetti, L.
    Sampedro, C.
    Ruiz, F. G.
    Godoy, A.
    Gamiz, F.
    SOLID-STATE ELECTRONICS, 2019, 159 : 19 - 25