Extended Data Fig. 6: Gold166 subset that most closely resembles fMOST data according to image quality features. | Nature Methods

Extended Data Fig. 6: Gold166 subset that most closely resembles fMOST data according to image quality features.

From: BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

Extended Data Fig. 6

a Principal Component Analysis of gold standard datasets accounting for their image quality metrics. Each point is one gold standard image volume, and the color indicates the dataset it comes from. Arrows represent the direction of each variable in the PCA space. Longer arrows belong to variables that are well represented by the two principal components. Given that 68% of the density of multi variate normal distributions are within 1 Mahalanobis distance of the mean, 68% confidence normal data ellipses for each group are drawn with solid lines. b Percentage of different structure between automatic reconstructions and gold standard trees for the Zebrafish larvae RGC neurons. Mean + /− Standard Errors of percentage of different structure are shown as bar plots.

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