This logic takes a stack of images, that were previously aligned using some references (e.g. class averages), and sums the images that correspond to the same references. This generates alisums that inherit the Euler angles from the references, thus, can be directly used for 3D reconstruction.

Using Ccc bounds parameter can filter out the images that were aligned worse or better than specified Ccc value. Note that when Fill gaps option is not checked, the empty sums would just be skipped, and that will affect the imageID of the summed images.

Parameters Description
Fill gaps If checked, the reference without any corresponding images will output an empty image, if not - just skipped
Normalize output Normalize the summed images
Ccc bounds Whether to use the ccc between image and reference as a filter (lower and upper bounds should be given)