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The terminology spot swapping[1] describes the artifact for spatial data that mRNA bleed from nearby spots causes substantial contamination of UMI counts. Spot clean in Flow is a task that aims to improve estimates of expression by correcting for spot swapping.
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The Cell counts data node is a counts type data node and downstream analysis tasks, such as normalization, PCA, and ANOVA, can be used to analyze the group cell counts data.
Reference
Ni, Z., Prasad, A., Chen, S. et al. SpotClean adjusts for spot swapping in spatial transcriptomics data. Nat Commun 13, 2971 (2022). https://doi.org/10.1038/s41467-022-30587-y
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