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FlashDeconv enables atlas-scale, multi-resolution spatial deconvolution via structure-preserving sketching

Yang, C.; Chen, J.; Zhang, X.

2026-02-04 bioinformatics
10.64898/2025.12.22.696108 bioRxiv
Show abstract

Coarsening Visium HD resolution from 8 to 64 {micro}m can flip cell-type co-localization from negative to positive (r = -0.12 [->] +0.80), yet investigators are routinely forced to coarsen because current deconvolution methods cannot scale to million-bin datasets. Here we introduce FlashDeconv, which combines leverage-score importance sampling with sparse spatial regularization to match top-tier Bayesian accuracy while processing 1.6 million bins in 153 seconds on a standard laptop. Systematic multi-resolution analysis of Visium HD mouse intestine reveals a tissue-specific resolution horizon (8-16 {micro}m)--the scale at which this sign inversion occurs--validated by Xenium ground truth. Below this horizon, FlashDeconv provides the first sequencing-based quantification of Tuft cell chemosensory niches (15.3-fold stem cell enrichment). In a 1.6-million-bin human colorectal cancer cohort, FlashDeconv further uncovers neutrophil inflammatory microdomains in low-UMI regions that classification-based methods discard, recovering spatially organized biology from measurements previously considered uninformative.

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