{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":["Yang C"],"funding":["Mayo Clinic Center for Individualized Medicine","National Institutes of Health","NIGMS NIH HHS","National Science Foundation"],"pubmed_abstract":["Coarsening Visium HD resolution from 8 to 64 <i>μ</i>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 <i>resolution horizon</i> (8-16 <b><i>μ</i></b> 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 ce"],"journal":["bioRxiv : the preprint server for biology"],"pagination":["2025.12.22.696108"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12776147"],"repository":["biostudies-literature"],"pubmed_title":["FlashDeconv enables atlas-scale, multi-resolution spatial deconvolution via structure-preserving sketching."],"pmcid":["PMC12776147"],"funding_grant_id":["DMS1830392","R01GM144351","DMS2113359","DMS2113360","DMS1811747","R01 GM144351"],"pubmed_authors":["Chen J","Zhang X","Yang C"],"additional_accession":[]},"is_claimable":false,"name":"FlashDeconv enables atlas-scale, multi-resolution spatial deconvolution via structure-preserving sketching.","description":"Coarsening Visium HD resolution from 8 to 64 <i>μ</i>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 <i>resolution horizon</i> (8-16 <b><i>μ</i></b> 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 ce","dates":{"release":"2026-01-01T00:00:00Z","publication":"2026 Feb","modification":"2026-07-09T11:58:37.257Z","creation":"2026-07-09T11:04:37.473Z"},"accession":"S-EPMC12776147","cross_references":{"pubmed":["41509391"],"doi":["10.64898/2025.12.22.696108"]}}