754-Ovrlpy: Identifying 3D Signal Overlaps in Spatial Data
The paper introduce ovrlpy, a computational tool designed to identify and mitigate vertical signal doublets in imaging-based spatial transcriptomics. While these technologies capture data in three dimensions, standard analysis often collapses this information into a flat two-dimensional projection, which erroneously merges transcripts from overlapping cells. To address this, the software uses a virtual subslicing strategy to calculate a Vertical Signal Integrity (VSI) score, highlighting regions where tissue folds or cellular overlaps compromise data quality. Testing on mouse brain and liver…
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