大规模神经元群落的自动重建
染色方法：
转基因荧光标记
标记方法：
GFP、 YFP、 RFP
包埋方法：
树脂包埋
成像平台：
BioMapping 5000
figure 3 | Reconstruction of a neuronal population from dense and large-scale data using NeuroGPS-Tree. (a) A neuronal population including approximately 960 neuronal trees was reconstructed in 3 h; here 126 typical neuronal trees are displayed in different colors. The image stack was selected from the cortical region outlined by the yellow rectangle (top left).
mov 1. NeuroGPS-Tree_single tree The manual reconstruction of a single neuron is faithful to the data set.
mov 2. NeuroGPS-Tree_slice Maximum-intensity projections of a series of 3D image sections with the same thickness (10 μm) are used to show dense populations.
mov 3. NeuroGPS-Tree_Neuronal Population Reconstruction of neuronal population from the image volume with NeuroGPS-Tree and individual neuronal trees are identified in different pseudo-colors.
figure 3 | Reconstruction of a neuronal population from dense and large-scale data using NeuroGPS-Tree. (a) A neuronal population including approximately 960 neuronal trees was reconstructed in 3 h; here 126 typical neuronal trees are displayed in different colors. The image stack was selected from the cortical region outlined by the yellow rectangle (top left).
mov 1. NeuroGPS-Tree_single tree The manual reconstruction of a single neuron is faithful to the data set.
mov 2. NeuroGPS-Tree_slice Maximum-intensity projections of a series of 3D image sections with the same thickness (10 μm) are used to show dense populations.
mov 3. NeuroGPS-Tree_Neuronal Population Reconstruction of neuronal population from the image volume with NeuroGPS-Tree and individual neuronal trees are identified in different pseudo-colors.
2014年11月23日，华中科技大学武汉光电国家研究中心利用NeuroGPS-Tree的软件自动重建了具有密集神经突起的大规模神经元群体，在3小时内重建960个神经元。文章发表在《自然-方法》杂志。
参考文献
参考文献[1]:Quan T, Zhou H, Li J, Li S, Li A, Li Y, Lv X, Luo Q, Gong H, Zeng S. NeuroGPS-Tree: automatic reconstruction of large-scale neuronal populations with dense neurites. Nat Methods. (2016);13(1):51-4.