Allen Institute for Brain Science, Seattle, WA, 98109, USA.
Department of Neurosurgery, Swedish Neuroscience Institute, Seattle, WA, 98122, USA.
Sci Rep. 2017 Aug 24;7(1):9325. doi: 10.1038/s41598-017-10067-w.
Quantitative analysis of neuronal morphology is critical in cell type classification and for deciphering how structure gives rise to function in the brain. Most current approaches to imaging and tracing neuronal 3D morphology are data intensive. We introduce SmartScope2, the first open source, automated neuron reconstruction machine integrating online image analysis with automated multiphoton imaging. SmartScope2 takes advantage of a neuron's sparse morphology to improve imaging speed and reduce image data stored, transferred and analyzed. We show that SmartScope2 is able to produce the complex 3D morphology of human and mouse cortical neurons with six-fold reduction in image data requirements and three times the imaging speed compared to conventional methods.
定量分析神经元形态在细胞类型分类中至关重要，有助于揭示大脑中结构如何产生功能。目前大多数用于成像和追踪神经元 3D 形态的方法都非常耗费数据。我们介绍了 SmartScope2，这是首款开源的自动神经元重建机器，它将在线图像分析与自动多光子成像相结合。SmartScope2 利用神经元稀疏的形态来提高成像速度，并减少存储、传输和分析的图像数据。我们表明，与传统方法相比，SmartScope2 能够以六倍的数据要求减少和三倍的成像速度生成人类和小鼠皮层神经元的复杂 3D 形态。
