Separate patient samples from Xenium run in Seurat

[minimouse1]

I have Xenium data from two different patients that ended up being run together so they are combined in the same Seurat object. I've tried using subset() to subset out the molecular and cell layers, but the subset function doesn't pull out the cells and connected molecules, just the cells, which I can see when I run ImageDimPlot on the new object. Using subset(object, features =x) doesn't help because the features aren't localized to any one area, they are dispersed throughout the section.

My questions:

1. Is there a way to subset or split the SeuratObject based on coordinates so only cells and molecules in the coordinate ranges will show up?
2. If I leave the molecules in, does the presence of the molecules impact the clustering or are the molecules ignored if there is no associated cell?

EDIT: I'd like to update my comment to suggest a new feature, as neither the subset function nor the splitObjects function does what I need it to. I need two separate Seurat objects from one, not a Seurat object and then a list, as one gets with the splitObjects function and I need the transcripts to stay with the associated cells, unlike what is currently possible with subset. Again, if others have done this successfully, I'd like to know how to accomplish it.