大規(guī)模神經(jīng)元群落的自動重建
染色方法：
轉(zhuǎn)基因熒光標(biāo)記
標(biāo)記方法：
GFP、 YFP、 RFP
包埋方法：
樹脂包埋
成像平臺：
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，華中科技大學(xué)武漢光電國家研究中心利用NeuroGPS-Tree的軟件自動重建了具有密集神經(jīng)突起的大規(guī)模神經(jīng)元群體，在3小時內(nèi)重建960個神經(jīng)元。文章發(fā)表在《自然-方法》雜志。
參考文獻(xiàn)
參考文獻(xiàn)[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.
武漢東湖新技術(shù)開發(fā)區(qū)豹澥街道高科園三路9號武漢光谷精準(zhǔn)醫(yī)療產(chǎn)業(yè)基地2.1期13棟12層