Rebollo Elena, Boix-Fabrés Jaume, Arbones Maria L
Molecular Imaging Platform, Molecular Biology Institute of Barcelona (CSIC), Barcelona, Spain.
Molecular Imaging Platform, Molecular Biology Institute of Barcelona, Spanish Research Council (CSIC), Barcelona, Spain.
Methods Mol Biol. 2019;2040:71-97. doi: 10.1007/978-1-4939-9686-5_5.
This chapter describes an ImageJ/Fiji automated macro approach to estimate synapse densities in 2D fluorescence confocal microscopy images. The main step-by-step imaging workflow is explained, including example macro language scripts that perform all steps automatically for multiple images. Such tool provides a straightforward method for exploratory synapse screenings where hundreds to thousands of images need to be analyzed in order to render significant statistical information. The method can be adapted to any particular set of images where fixed brain slices have been immunolabeled against validated presynaptic and postsynaptic markers.
本章介绍了一种使用ImageJ/Fiji的自动宏方法来估计二维荧光共聚焦显微镜图像中的突触密度。文中解释了主要的分步成像工作流程,包括可对多张图像自动执行所有步骤的示例宏语言脚本。这种工具为探索性突触筛选提供了一种直接的方法,在这种筛选中,需要分析数百到数千张图像以获取有意义的统计信息。该方法可适用于任何一组特定的图像,这些图像是对固定脑切片针对经过验证的突触前和突触后标记物进行免疫标记得到的。