3D-reconstruction of synapses based on EM images

Mingsong Sun, Dandan Zhang, Hongchen Guo, Hao Deng, Weifu Li, Qiwei Xie
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引用次数: 3

Abstract

3D reconstruction from the microscopy images of serial sections plays an important role in analyzing structure of biological specimens, such as neuronal circuits in brain tissue. This paper is focusing on the 3D reconstruction of synapses which is a branch of micro reconstruction of brain. Having analysed the structure of synapses, we first detect and locate them in serial sections with cascade AdaBoost algorithm, then optimize the shape of synapses by constructing suitable fitting functions and segment them with morphology processing method. Taking the connection of adjacent sections and synaptic extensibility in space into consideration, we complete the reconstruction of synapses which is based on the segmentation in serial sections. Actually all our works are based on the registration of serial sections.
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基于EM图像的突触三维重建
从连续切片的显微镜图像中进行三维重建在分析生物标本的结构(如脑组织中的神经回路)中起着重要作用。突触三维重建是脑显微重建的一个分支。在分析了突触结构的基础上,首先利用级联AdaBoost算法在序列切片中对突触进行检测和定位,然后通过构造合适的拟合函数对突触形状进行优化,并用形态学处理方法对突触进行分割。考虑到相邻截面的连通性和突触在空间上的可扩展性,我们完成了基于序列截面分割的突触重构。实际上,我们所有的作品都是基于系列章节的注册。
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