荧光显微镜
绿色荧光蛋白
显微镜
信号(编程语言)
计算机科学
感兴趣区域
荧光
体内
生物医学工程
计算机视觉
人工智能
材料科学
化学
光学
物理
生物
医学
基因
生物化学
程序设计语言
生物技术
作者
A. Chen,Belma Dogdas,Sameep Mehta,Kathleen Haskell,B. Ng,Ellen M. Keough,Bonnie J. Howell,D. A. Meacham,Amy G. Aslamkhan,Joe Davide,M.L. Stanton,Amitabha Bagchi,Laura Sepp‐Lorenzino,Weikang Tao
标识
DOI:10.1109/embc.2012.6346773
摘要
Transgenic mice with Tie2- green fluorescent protein (GFP) are used as a model to study the kinetic distribution of the Cy5-siRNA delivered by lipid nanoparticles (LNP) into the liver. After the mouse is injected with the LNP, it undergoes a procedure of intra-vital multi-photon microscopy imaging over a period of two hours, during which the process for the nanoparticle to diffuse into the hepatocytes from the vasculature system is monitored. Since the images are obtained in-vivo, the quantification of Cy5 kinetics suffers from the moving field of view (FOV). A method is proposed to register the sequence of images through template matching. Based on the semi-automatic segmentations of the vessels in the common FOV, the registered images are segmented into three regions of interest (ROI) in which the Cy5 signals are quantified. Computation of the percentage signal strength in the ROIs over time allows for the analysis of the diffusion of Cy5-siRNA into the hepatocytes, and helps demonstrate the effectiveness of the Cy5-siRNA delivery vehicle.
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