A fluorescent tracing of hilus-granular organization utilizing visual feedback system

J. Sakiyama, M. Okamoto, H. Yamamoto
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引用次数: 3

Abstract

The neuronal organization of the hippocampus is extensively studied. However, the synaptic connections between neurons of the hilus and neurons of the granule cell layer are still debatable. In the present study, we utilized automated micromanipulation technique combined with visual image processing to analyze the synaptic connections between hilar mossy cells or mossy fibers, and granule cells or basket cells in the granule cell layer. The stereoscopic microscope image of the dentate gyrus of coronal slice in adult rat brain was converted into a binary image and the noises were reduced by median filter. The threshold for binary image was determined by the mean concentration and standard deviation calculated from the dentate gyrus. The area of the dentate gyrus is extended by region segmentation, and the two-valued image was constructed based on mean concentration and the standard deviation. Noises were further reduced by the dilation-erosion processing. This was matched with the template image made from a microscopic photo of cresyl violet-stained coronal section of the rat brain by parallel and rotation matching. A glass microelectrode was inserted into the apex of the dentate gyrus by the automated micromanipulation technique. Lipophilic fluorescent tracer DiI or DiD was injected into the hilus by a nanoinjector. Successful tracing of hilar neurons was observed by a confocal laser scan microscopy.
利用视觉反馈系统的门状颗粒组织荧光示踪
海马体的神经元组织被广泛研究。然而,脑门部神经元与颗粒细胞层神经元之间的突触连接仍有争议。在本研究中,我们利用自动显微操作技术结合视觉图像处理,分析了门叶苔藓细胞或苔藓纤维与颗粒细胞层中的颗粒细胞或篮状细胞之间的突触连接。将成年大鼠脑冠状层齿状回的立体显微镜图像转换为二值图像,并采用中值滤波去噪。二值图像的阈值由齿状回计算的平均浓度和标准差确定。通过区域分割对齿状回区域进行扩展,并基于平均浓度和标准差构建二值图像。膨胀-侵蚀处理进一步降低了噪声。通过平行和旋转匹配,将其与用甲酚紫染色的大鼠脑冠状切片显微照片制作的模板图像进行匹配。采用自动显微操作技术将玻璃微电极插入齿状回顶端。用纳米注射器将亲脂性荧光示踪剂DiI或DiD注射到肺门。用激光共聚焦扫描显微镜成功示踪肺门神经元。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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