Researchers developed CMAP, a "divide-and-conquer" algorithm that maps single-cell RNA-seq data to precise spatial locations. By integrating transcriptomics with spatial context, it overcomes low gene recovery to reveal cellular heterogeneity and microenvironment interactions.

References:

• Ke, J., Xu, J., Liu, J. et al. High-resolution mapping of single cells in spatial context. Nat Commun 16, 6533 (2025). doi.org