Suggestions for training on xenium spatial transcriptomics dataset

Hey @cane11 ,

We have been using baysor followed by scVI so far for batch correction on Xenium datasets. It’s working fine out of the box where it’s able to discern major cell populations. One problem we see frequently is the mixtures of mis-segmented cells (T cells with macrophages for example). Is there any way of changing the model parameters for scVI that can help mitigate the issue?

Thanks