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New algorithm makes maps of gene activity easier to compare while preserving cell-level detail

New algorithm makes maps of gene activity easier to compare while preserving cell-level detail
Phys.org Friday 02 October 2026, 18:20 UTC 1 min read
Key Points

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.

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.
Originally published by Phys.org Read original →

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