Spatial transcriptomics can reveal where thousands of genes are active across a tissue, creating molecular maps at single-cell resolution. But comparing two such maps is difficult: thin slices of tissue may be rotated, stretched or otherwise distorted, so equivalent regions do not automatically line up.
New algorithm makes maps of gene activity easier to compare while preserving cell-level detail
