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FUSION: a web-based application for in-depth exploration of multi-omics data with brightfield histology

  • HuBMAP consortium
  • University of Florida
  • Indiana University Bloomington
  • Kitware, Inc
  • Duke University
  • Johns Hopkins University
  • University of Michigan, Ann Arbor
  • Stanford University
  • GE HealthCare Technology and Innovation Center
  • University of Pittsburgh
  • University of Indianapolis
  • University of Rochester
  • VA Medical Center
  • Washington University St. Louis

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Spatial technologies examining the cell and tissue microenvironment at near single-cell resolution are revealing important molecular insights. However, few tools enable integrated, interactive analysis of spatial-omics with tissue morphology in the same functional tissue unit. Here, we present FUSION (Functional Unit State Identification in Whole Slide Images), a web-based platform for visualizing and analyzing spatial-omics data with high-resolution histology. FUSION provides workflows for assessing cell compositions, quantitative morphometrics, and comparative tissue analyses. We demonstrate applicability across spatial assays, including 10x Visium, Visium HD, 10x Xenium, Cell DIVE, and PhenoCycler, applied to healthy and diseased tissues from kidney, small intestine, lung, and skin in the Human BioMolecular Atlas Program. FUSION is cloud-based, open-source, and accessible at https://fusion.hubmapconsortium.org/, hosting over 50 paired datasets and tutorials. In a series of use cases, we show its capacity to distinguish renal glomeruli injury states, quantify morphometric changes, and characterize fibrosis with immune infiltration.

Original languageEnglish
Article number8388
JournalNature Communications
Volume16
Issue number1
DOIs
StatePublished - Dec 2025

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