Fig. 2: Example of particle picking and subtomogram classification from a tomogram of an ion channel RyR1 imaged in native membranes (EMPIAR-10452).

a A slice through a tomogram with particles of RyR1 marked with red circles. b A result of the Dynamo-style cross-correlation search of a low-resolution template (shown in an inset) in a tomogram from a with the 15-degree angular search and C4 symmetry. c Selecting an offset for the CC values of the extracted peaks based on the histogram of the CC values in the map in b. d A TomoBEAR description of a classification project to run multi-reference alignment for 3 iterations with 3 classes, two of which are “noise traps”. e Classification of particles extracted from the positions corresponding to the top values of the cross-correlation map starting with 3 classes, two of which are noise classes. The resulting first class contains particles that can be further processed, classes 2 and 3 - false positives.