Ip Chi Wang, Cheong David, Volkmann Jens
Department of Neurology, University Hospital of Würzburg;
Department of Neurology, University Hospital of Würzburg.
J Vis Exp. 2017 Sep 1(127):56103. doi: 10.3791/56103.
In pre-clinical Parkinson's disease research, analysis of the nigrostriatal tract, including quantification of dopaminergic neuron loss within the substantia nigra, is essential. To estimate the total dopaminergic neuron number, unbiased stereology using the optical fractionator method is currently considered the gold standard. Because the theory behind the optical fractionator method is complex and because stereology is difficult to achieve without specialized equipment, several commercially available complete stereology systems that include the necessary software do exist, purely for cell counting reasons. Since purchasing a specialized stereology setup is not always feasible, for many reasons, this report describes a method for the stereological estimation of dopaminergic neuronal cell counts using standard microscopy equipment, including a light microscope, a motorized object table (x, y, z plane) with imaging software, and a computer for analysis. A step-by-step explanation is given on how to perform stereological quantification using the optical fractionator method, and pre-programmed files for the calculation of estimated cell counts are provided. To assess the accuracy of this method, a comparison to data obtained from a commercially available stereology apparatus was performed. Comparable cell numbers were found using this protocol and the stereology device, thus demonstrating the precision of this protocol for unbiased stereology.
在临床前帕金森病研究中,对黑质纹状体通路的分析,包括黑质内多巴胺能神经元损失的量化,至关重要。为了估计多巴胺能神经元的总数,目前使用光学分割器方法的无偏倚体视学被认为是金标准。由于光学分割器方法背后的理论复杂,且没有专门设备很难实现体视学,确实存在几种包含必要软件的商用完整体视学系统,纯粹用于细胞计数。由于购买专门的体视学设置出于多种原因并不总是可行的,本报告描述了一种使用标准显微镜设备对多巴胺能神经元细胞计数进行体视学估计的方法,包括光学显微镜、带有成像软件的电动载物台(x、y、z平面)以及用于分析的计算机。文中给出了关于如何使用光学分割器方法进行体视学量化的逐步解释,并提供了用于计算估计细胞数的预编程文件。为了评估该方法的准确性,与从商用体视学仪器获得的数据进行了比较。使用该方案和体视学设备发现了可比的细胞数量,从而证明了该方案用于无偏倚体视学的精确性。