Skip to main content
Fig. 3 | BMC Bioinformatics

Fig. 3

From: Spatial registration of neuron morphologies based on maximization of volume overlap

Fig. 3

Testing Reg-MaxS with noisy morphologies. a The reference morphology M. b M (green) and the morphology N(M) (blue), which was obtained by adding independent Gaussian noise of standard deviation 7 μm to each point of M. c M (green) and the morphology TN(M) (red), which was obtained by applying random translation, scaling and rotation to N(M). d N(M) (blue) and RTN(M) (violet), which was obtained by registering TN(M) to M using Reg-MaxS. The process was repeated using multiple random transformations and different values of noise standard deviations (see “Methods” section). e Performance of Reg-MaxS as a function noise standard deviation. Reg-MaxS performance was calculated as the percentage of tests for which the distribution of resulting pointwise distances was significantly smaller than the smallest voxel size (10 μm). Reg-MaxS-N showed high performance for noise with standard deviation below the smallest voxel size

Back to article page