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本文介绍了自行开发的解决Ｄｉｓｅｃｔｏｒ应用问题的计算机图像处理软件系统及关键技术、算法。本系统能依照Ｄｉｓｅｃｔｏｒ原理对多层组织细胞的电镜及光镜图像中的目标进行正确的分割，各层之间图像的人工交互及自动配准。针对每个目标的上下层关系实现目标的Ｄｉｓｅｃｔｏｒ自动计数及参数计算，并对每个目标进行体数据的提取和三维重建显示，通过切片级表面重建出曲面表面，再借助ＯｐｅｎＧＬ的显示功能把曲面显示出来。使用Ｄｉｓｅｃｔｏｒ分析系统对多种粒子（细胞等）进行三维分析，可以简化寻找新出现粒子的过程，克服切片采集过程中的形变，在统计分析之后，立体地观察粒子结构，能够使操作者从繁琐的手工操作中解脱出来。自动统计新出现的粒子。文中同时还给出了用该系统对小白鼠神经细胞个数的Ｄｉｓｅｃｔｏｒ分析，肾小球个数统计分析和三维重建显示实例。
This article introduces the computer image processing software system and its key technologies and algorithms developed by ourselves to solve the problem of Disector application. The system can be based on Disector principle of multi-layer tissue cells in the electron microscope and light microscope image of the target for the correct segmentation, image interaction between layers and automatic registration. For each target’s upper and lower relationship to achieve the target Disector automatic counting and parameter calculation, and for each target volume data extraction and 3D reconstruction display, through the slice level surface reconstruction surface, and then use OpenGL display function to the surface display. Using the Disector analysis system to perform three-dimensional analysis of multiple particles (cells, etc.) simplifies the process of finding new particles, overcoming the deformities during sliced acquisition, and observing the particle structure stereoscopically after a statistical analysis allows the operator to move from cumbersome The manual operation freed. Automatic counting of emerging particles. In the meantime, Disector analysis, counting statistics of glomeruli and three-dimensional reconstruction of the mouse neurons using this system are also given.