软件导刊2024，Vol.23Issue(12)：226-233,8.DOI:10.11907/rjdk.241007
不规则脑区神经元的自适应网格分析方法
Adaptive Grid Analysis Method for Neurons in Irregular Brain Areas
摘要
Abstract
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.关键词
自适应网格/不规则脑区/神经元Key words
adaptive grids/irregular brain regions/neurons分类
信息技术与安全科学引用本文复制引用
刘胜杰,杨昊,周航,文武..不规则脑区神经元的自适应网格分析方法[J].软件导刊,2024,23(12):226-233,8.基金项目
四川省自然科学基金项目(2022NSFSC0964) （2022NSFSC0964）
四川省科技计划项目(2023JDZH0034) （2023JDZH0034）
