小胶质细胞
计算机科学
分割
过程(计算)
人工智能
宏
接口(物质)
医学
炎症
气泡
最大气泡压力法
并行计算
内科学
程序设计语言
操作系统
作者
Ángela Casado-García,Estefanía Carlos,César Domínguez,Jónathan Heras,María Izco,Eloy Mata,Vico Pascual,Lydia Álvarez
标识
DOI:10.1007/978-3-031-36616-1_47
摘要
Microglial cells are now recognized as crucial players in the development of neurodegenerative diseases. The analysis and quantification of microglia changes is necesary to better understand the contribution of microglia in neurodegenerative processes or drug treatments. However, the manual quantification of microglial cells is a time-consuming and subjective tasks; and, therefore, reliable tools that automate this process are desirable. In this paper, we present MicrogliaJ, an ImageJ macro, that can measure both the number and area of microglial cells. The automatic procedure implemented in MicrogliaJ is based on classical image processing techniques, and the results can be manually validated by experts with a simple-to-use interface. MicrogliaJ has been tested by experts and it obtains analogous results to those manually produced, but considerably reducing the time required for such analysis. Thanks to this work, the analysis of microglia images will be faster and more reliable, and this will help us to advance our understanding of the behaviour of microglial cells.
科研通智能强力驱动
Strongly Powered by AbleSci AI