Reliable estimation of membrane curvature for cryo-electron tomography
Fig 10
Algorithms and parameters comparison using a small cER membrane feature from cryo-ET.
Surface of a cER membrane region with maximum base radius ∼10 nm (from the same tomogram of a yeast cell as the cER in Fig 11) was generated using the compartment segmentation. Panels (A-B) show relative frequency histograms of κ1 estimated by (A) AVV or (B) SSVV using rh = 2, 5, 10, 15 and 20 nm. Panels (C-D) show visualizations of the estimated κ1 and κ2 (color scale was set to the value range of [-0.1, 0.1] nm-1 in both panels) and the corresponding principal directions (black arrows, sampled for every forth triangle) by (C) AVV or (D) SSVV using rh = 10 nm (scale bar: 20 nm, applies for both panels).