Advice on choosing UMI_min_sigma for probe-based methods

[dpcook]

Hi there,

I've found that RCTD works nicely for reference-based cell annotation for imaging-based spatial data (with the added benefit of providing some insight into segmentation error).

I was wondering if you had any suggestions for a heuristic to set UMI_min_sigma. Is this effectively just a lower threshold for cell quality? So with these in situ methods where median transcript counts is ~100, something like 25 or 50 may be appropriate?