Figure 2. Particle Picking.
A. Workflow of CNN based particle picking. Top: examples of background, good and bad particle references. Bottom: Input test micrograph and output of the trained CNNs. B. A comparison of template matching to the CNN picker. Left: Template matching based particle picking, using 24 class averages as references. Right: Results of CNN based particle picking, with 20 manually selected raw references of each type (good, background and bad). C. Left: Precision-recall curves of CNN1 on a test set, with the threshold of CNN2 fixed at −5. Right: Precision- recall curves of CNN2 with the threshold of CNN1 fixed at 0.2