Rauch F, Schleicher A, Zilles K
Anatomical Institute, University of Cologne, Köln 41, F.R.G.
J Neurosci Methods. 1989 Dec;30(3):255-62. doi: 10.1016/0165-0270(89)90136-2.
An automatic procedure is described which allows recognition of sectional profiles of alpha-motoneurons of the facial nucleus of the rat. The system is able to distinguish nucleus and nucleolus from the cytoplasm of the nerve cell profile and to characterize those structures by suitable parameters. The region of the nucleus of the facial nerve (FNN) has been measured 7 days after unilateral partial nerve transsection. Based on the resulting data a multivariate analysis was performed to distinguish between normal and retrograde reacting cells. It is shown that this automatic cell characterisation technique is highly sensitive and reliable. The data were used to describe comprehensively the retrograde reaction of the cell.
本文描述了一种自动程序，该程序可识别大鼠面神经核α运动神经元的截面轮廓。该系统能够从神经细胞轮廓的细胞质中区分出细胞核和核仁，并通过合适的参数对这些结构进行表征。在单侧部分神经横断7天后，对面神经核（FNN）区域进行了测量。基于所得数据进行了多变量分析，以区分正常细胞和逆行反应细胞。结果表明，这种自动细胞表征技术具有高度的敏感性和可靠性。这些数据被用于全面描述细胞的逆行反应。
