Reliable estimation of membrane curvature for cryo-electron tomography
Fig 9
Estimation accuracy on a cylindrical surface.
Panels (A-D) show principal curvatures on a smooth cylinder with radius = 10 and height = 25 voxels estimated by different algorithms: (A) AVV using the optimal rh = 5 voxels, (B) SSVV using the optimal rh = 6 voxels, (C) VTK and (D) Mindboggle (MB) using the optimal n = 2 voxels; the estimated κ1 and κ2 are shown in their original ranges; true κ1 = 0.1, true κ2 = 0 voxel-1. Panels (E-H) show cumulative relative frequency histograms of the errors (E, G) and κ1 errors (F, H) on the cylinder using different algorithms: AVV, SSVV, VTK and MB; latter two algorithms only for κ1 in (F, H); the optimal rh or n (in voxels) were used for each algorithm and are indicated in the legends. In panels (G-H), values within 5 voxels to the graph border were excluded.