Fig. 6: Fully automated reconstruction of densely labelled neurons with 7-colour Tetbow in the cerebral cortex. | Nature Communications

Fig. 6: Fully automated reconstruction of densely labelled neurons with 7-colour Tetbow in the cerebral cortex.

From: Automated neuronal reconstruction with super-multicolour Tetbow labelling and threshold-based clustering of colour hues

Fig. 6

a L2/3 neurons in S1 labelled with 7-colour Tetbow (in utero electroporation). Z-stacked images of 581.53 × 454.32 × 290.41 μm3 are shown. Note that the data are from a representative result from four independent experiments with similar results. b 15,174 fragments were then automatically detected using Neurolucida 360 and put through our processing pipeline which detected 302 clusters after clustering at Th(d) = 0.2 (left panel). Each fragment is represented by their unique cluster colour in both the fragment plot (left panel) and the UMAP plot (right panel). Colours correspond to each cluster. c Classification of dCrawler clusters at a range of Th(d). Clusters were grouped by whether a cluster contained a single neuron, multiple neurons, or few fragments. As with the manually traced data the best results were with the optimum Th(d) of 0.2. The optimum Th(d) of 0.2 provided the best percentage of single neuron clusters (37.75%). d Two representative example clusters are provided for each of the classification groups, fragments belonging to the cluster (red), and the remaining clusters (grey) are shown. e Single neuron clusters (114 clusters) are shown. Source data are provided as a Source Data file.

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