extracting background of each staining in the pre-processing step

[KunHHE]

Hi @yuqiyuqitan, cool tool for multiplexed imaging analysis.
I have a question:

1. for multiplexed imaging, we cannot be sure every single channel of marker staining is good enough and has no background, especially for some antibodies that do not work that well. So I was thinking, in the data pre-processing step after segmentation, "Remove noisy cells," for example, how we are sure the background of each channel is calculated?
2. To inspect which markers work and drop the ones that did not work from the clustering step, we use 'nonFuncAb_list = []'. Those markers won't be used for cell type annotation, but how can we count them back once we finish the annotation?

Thanks!