Fig. 14
From: DeepCryoPicker: fully automated deep neural network for single protein particle picking in cryo-EM
Fully automated side-view particles clustering results using different cryo-EM micrographs and Intensity-Based Clustering Algorithm (ICB) [24]. a, g KLH micrograph clustering images (binary masks) using the KLH dataset [26] were both top and side-view particles appear in additional to some cumulative ice and artificial objects. b, h Cleaned KLH micrograph binary mask images that have only the side-view particles after micrograph cleaning and small object and circular objects removal. c, i Binary particle objects smoothing micrographs. d, j Feret diameters measures [32] for the particle objects. e, k Perfect side-view (square) particle shapes generation on the top of the binary image of the KLH micrograph. f, l Show the overlapped particles removal and perfect side-view particles-selection results after remove the overlapped side-view binary masks