Fig. 17
From: DeepCryoPicker: fully automated deep neural network for single protein particle picking in cryo-EM
Fully automated irregular (complex) particles picking results using SuperCryoEMPicker approach [25] and good training particles-selection. a Particle detection and picking results using SuperCryoEMPicker approach [25] and cryo-EM micrographs form the Ribosome dataset [28]. b, d Good irregular particle binary mask examples. c, e Good training particle examples selection. f, h Bad irregular binary mask examples (dash red lines illustrate the missing part of the particle’s background while the dash blue lines illustrate the center of the object that the selected particle has to be in). g, i Bad particle examples (dash red lines illustrate the missing part of the particle’s background)