Small Visium HD regions at 8 µm resolution can be sparse and noisy, making reliable quality-control decisions difficult. I developed barcode-based and coordinate-based deconvolution to evaluate data quality at a broader spatial scale, then transfer the decisions back to the original high-resolution tissue map. The implementation became visiumHDResDeconv, an R package and TGIA’s first reusable Visium HD workflow. visiumHDResDeconv implementation
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Visium HD resolution deconvolution
Transferred quality-control decisions from broader spatial scales back to high-resolution tissue maps.