Unified data framework and storage format for spatial multi-omics
SpatialData is an open-source framework developed by the scverse consortium that standardizes the storage, alignment, and visualization of spatial omics data across imaging, sequencing, and morphology.
Standardized representation of spatial coordinates, images, labels, and feature tablesSupport for 10x Visium, 10x Xenium, NanoString CosMx, Akoya PhenoCycler, and Vizgen MERSCOPEAffine transformation engine for multi-modal spatial image co-registrationZarr-based storage for fast streaming and out-of-memory computation
SpatialData is an open-source framework developed by the scverse consortium that standardizes the storage, alignment, and visualization of spatial omics data across imaging, sequencing, and morphology.
Informationen mit einer offiziellen Primärquelle abgeglichen; kein Praxistest. Quelle · Zuletzt geprüft: 20/09/2026, 11:10:15 UTC
Hauptmerkmale
Standardized representation of spatial coordinates, images, labels, and feature tables
Support for 10x Visium, 10x Xenium, NanoString CosMx, Akoya PhenoCycler, and Vizgen MERSCOPE
Affine transformation engine for multi-modal spatial image co-registration
Zarr-based storage for fast streaming and out-of-memory computation
Academic Context & Research Evidence
Biological & Workflow Fit
Biological Application
Spatial transcriptomics, multiplexed immunofluorescence, and tissue cartography
Research Workflow
Load raw spatial instrument files -> align coordinates -> perform spatial statistics and Napari visualization
Use this citation format when referencing SpatialData in scientific publications and benchmark papers.
@software{spatialdata_2026,
title = {{SpatialData}},
author = {{scverse Consortium}},
year = {2026},
url = {https://spatialdata.scverse.org},
note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}
Peer-Reviewed Literature & Preprints
Live scientific citations queried from Europe PMC and PubMed for SpatialData.
⏳ Querying Europe PMC & PubMed for indexed publications...
Technische Daten & Produktinformationen
Missing values mean the catalog has no recorded information. They do not mean a feature is absent.
Entry typePython Library
Access modeOpen Source
AI roleSpatial Data Modeling & Alignment
Input dataNot recorded
Output dataNot recorded
Licence conditionsBSD-3-Clause
Commercial eligibilityPermissive open source release