bioimagesUnknownhttps://www.ebi.ac.uk/biostudies/studies/S-BIAD1426bioimagesImaging methodSpecimenKeywordsStudy ComponentorganisationBiosampleAssociationsImage acquisitionJurgen KrielVinod K. NarayanaSaskia FreytagAdam ValkovicJames R. WhittleTianyao LuOluwaseun E. FatunlaMalcolm J. McConvilleAna MaluendaEllen TsuiJoel J.D. MoffetSarah A. BestfalseAn integrative spatial multi-omic workflow for unified analysis of tumor tissueCombining molecular profiling with imaging techniques has advanced the field of spatial biology offering new insights into complex biological processes. Focusing on diffuse IDH-mutated low-grade glioma this study presents a workflow for Spatial Multi-omics Integration SMINT specifically combining spatial transcriptomics and spatial metabolomics. Our workflow incorporates both existing and custom-developed computational tools to enable cell segmentation and registration of spatial coordinates from both modalities to a common coordinate framework. During our investigation of cell segmentation strategies we found that nuclei-only segmentation while containing only 40% of segmented cell transcripts enables accurate cell type annotation but does not account for multinucleated cells. Our integra2024-12-28T00:00:00Z2026-06-01T10:50:17.489Z2024-10-24T03:36:31.271ZS-BIAD1426