10x Xenium
Human coronary artery
GSM9423569
bronze Interactive viewer atherosclerosis Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 20513, 19968), (1, 10256, 9984), (1, 5128, 4992), (1, 2564, 2496), (1, 1282, 1248)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (19773, 19710), (9886, 9855), (4943, 4927), (2471, 2463), (1235, 1231)
│ └── 'nucleus_labels': DataTree[yx] (19537, 18327), (9768, 9163), (4884, 4581), (2442, 2290), (1221, 1145)
├── Points
│ └── 'transcripts': DataFrame with shape: (801087, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (7194, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (7194, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (7099, 2) (2D shapes)
└── Tables
└── 'table': AnnData (7194, 477)
with coordinate systems:
▸ 'global', with elements:
morphology_mip (Images), cell_labels (Labels), nucleus_labels (Labels), transcripts (Points), cell_boundaries (Shapes), cell_circles (Shapes), nucleus_boundaries (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("RCqBjvW2torItJmj") # latest version
sdata = artifact.load() # cache, then load into memory
group = artifact.open() # stream without downloading
path = artifact.cache() # sync into the local cache, returns the path Load from the CLI
# one-shot: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/RCqBjvW2torItJmj
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid RCqBjvW2torItJmj Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["RCqBjvW2torItJmj0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- coronary artery
- Condition
- atherosclerosis
- Modality
- RNA
- Observations
- 7,194
- Transcripts
- 801,087
- Tier
- bronze
- Size
- 346 MB
- Sample ID
- GSM9423569
- License
- unknown
- Published
- Feb 2, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB