Thanks Marc
and I do tend to follow that method normally and its been great, but for this data Im looking for a way to determine which sub aligns the most often (rotation wise) with the highest number of other frames to get the best result from the local normalisation process (so it only fills in black sections/missing data on the least amount of subs).