用于绘制高分辨小鼠全脑图谱的断层成像系统研究-生物医学工程专业论文.docx

continuously and stably, image the section with a resolution of 0.71 μm, and accurately synchronize the sectioning and imaging. Through these innovative methods and techniques above, the MOST system can acquire data continuously, automatically and rapidly, the data has natural and accurate registration, and the data acquisition has high stability and high accuracy.MOST performed a 242-hour uninterrupted data acquisition to obtain a Golgi-Cox stained microstructure atlas of a whole mouse brain. The average rate of acquisition is0.11 μs/voxel, and the total amount of uncompressed volume data exceeds 8 T B, covering 15,380 coronal sections with a pixel resolution of 0.33 μm by 0.33 μm by 1.0 μm. Some studies were carried out on the basis of whole mouse brain dataset, includes the image pre- processing, three dimensional reconstruction and neurite tracing. It is difficult to observe the mismatch in MOST dataset, and the dataset can correspond with the traditional atlas of whole mouse brain. According to the result of literature search, it is the first whole brain microstructure atlas at the neurite level from a single mouse in the world.This mesoscale neuroanatomical structural atlas of the whole mouse brain provides a basic experimental dataset for digitizing the mouse brain architecture and simulating the brain functions. MOST system is potential to map the whole brain atlas of mouse models with neurologic disease, and to obtain the network of blood vessels and capillary in whole mouse brain. It is likely that in combination with new developments in the techniques of specimen preparation (e.g. the transgenic animal models with multi-labeling), MOST system will help us to obtain functional connection atlas of a fluorescent mouse brain with high resolution. One the other hand, MOST system also can be apply to the high-resolution three-dimensional structure imaging of other biological specimens (e.g. insects, embryos, organs and plants), even industrial materials as wel