波谱学杂志2018，Vol.35Issue(2)：133-140,8.DOI:10.11938/cjmr20172608
一种简易的脑片图像的半自动区域划分及细胞计数方法
A Convenient Semi-Automatic Method for Analyzing Brain Sections:Registration, Segmentation and Cell Counting
摘要
Abstract
Quantitative analyses of molecular expression, cell counts and neural network connections among different brain regions are essential in brain science research. Based on Paxinos and Franklin's the Mouse Brain in Stereotaxic Coordinates (Ⅱ) and public image processing software such as Photoshop and ImageJ, we developed a convenient method for semi-automatic segmentation and cell counting on brain sections. A standard template for brain region segmentation was first obtained from the Paxinos and Franklin's mouse brain atlas. Photoshop was then used to transform the standard template semi-automatically into the space of brain sections, yielding masks of segmented brain regions. Finally, ImageJ was used to analyze the data in different brain regions. This method is useful for immunohistochemical and neuron distribution pattern analyses, as well as neural network labelling studies. The method does not require expensive commercial image analysis software, and is also easy to implement and use.关键词
神经环路/病毒标记/脑区划分/细胞计数Key words
neural network/virus labelling/brain section segmentation/cell counting分类
数理科学引用本文复制引用
朱续涛,何晓斌,刘悦,文鹏杰,王莉,张志建,徐富强..一种简易的脑片图像的半自动区域划分及细胞计数方法[J].波谱学杂志,2018,35(2):133-140,8.基金项目
中国科学院战略性先导科技专项(XDB02050005). （XDB02050005）
