Adaptive Grid Analysis Method for Neurons in Irregular Brain Areas
With the development of brain microscopy imaging technology,it is now possible to obtain a large amount of fine data on brain neu-rons.How to efficiently and accurately analyze the relationship between irregular brain regions and brain neurons is currently one of the bottle-neck problems.The existing analysis methods mainly divide cortical brain regions into rectangular grid blocks,and analyze the morphology of neurons through the segmented regions.However,this method cannot maintain the topological structure of irregular brain regions after parti-tioning,resulting in difficulties in analyzing neuronal morphology.An adaptive grid partitioning method is proposed to address this issue.Based on the two-dimensional sequence contour map of brain regions,the grid shape is adaptively adjusted to match the geometric features of irregular brain regions,which can effectively surround the partitioned area.The experimental results show that this method can accurately di-vide irregular brain regions,maintain the topological structure of brain regions,and perform correct statistical analysis on neurons within brain regions,providing data basis for brain region stratification.
国家科技期刊平台
NSTL
万方数据
