Interdisciplinary Institute for Neuroscience, University of Bordeaux, Bordeaux, France; Interdisciplinary Institute for Neuroscience, CNRS, UMR 5297, Bordeaux, France; Bordeaux Imaging Center, University of Bordeaux, Bordeaux, France; Bordeaux Imaging Center, CNRS UMS 3420, Bordeaux, France; Bordeaux Imaging Center, INSERM US04, Bordeaux, France.
Interdisciplinary Institute for Neuroscience, University of Bordeaux, Bordeaux, France; Interdisciplinary Institute for Neuroscience, CNRS, UMR 5297, Bordeaux, France.
Methods. 2020 Mar 1;174:49-55. doi: 10.1016/j.ymeth.2020.01.020. Epub 2020 Feb 7.
Super-resolution microscopy provides diffraction-unlimited optical access to the intricate morphology of neurons in living brain tissue, resolving their finest structural details, which are critical for neuronal function. However, as existing image analysis software tools have been developed for diffraction-limited images, they are generally not well suited for quantifying nanoscale structures like dendritic spines. We present SpineJ, a semi-automatic ImageJ plugin that is specifically designed for this purpose. SpineJ offers an intuitive and user-friendly graphical user interface, facilitating fast, accurate, and unbiased analysis of spine morphology.
超分辨率显微镜为活体脑组织中神经元的复杂形态提供了不受衍射限制的光学访问，解析了它们最精细的结构细节，这些细节对神经元功能至关重要。然而，由于现有的图像分析软件工具是为受衍射限制的图像开发的，因此它们通常不适合量化树突棘等纳米尺度结构。我们提出了 SpineJ，这是一个专门为此目的设计的半自动化 ImageJ 插件。SpineJ 提供了直观和用户友好的图形用户界面，便于快速、准确和无偏地分析树突棘形态。
