280-SpatialZoomer: Multi-Scale Spatial Transcriptomics

Paper Talk · Nov 30, 2025 · 16m

The paper introduces SpatialZoomer, a novel computational framework designed for the multi-scale analysis of single-cell resolution spatial transcriptomics (ST) data. This spectral graph-based method utilizes a set of low-pass filters to effectively extract spatial molecular features at various resolutions, including the single-cell, niche, and domain scales. A key innovation is the automatic identification of "critical" scales by partitioning a cross-scale similarity map using dynamic programming. The authors demonstrate SpatialZoomer's utility through applications such as detecting…