10x Xenium
Human coronary artery
GSM9423571
bronze Interactive viewer atherosclerosis Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 27286, 22804), (1, 13643, 11402), (1, 6821, 5701), (1, 3410, 2850), (1, 1705, 1425)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (27127, 22553), (13563, 11276), (6781, 5638), (3390, 2819), (1695, 1409)
│ └── 'nucleus_labels': DataTree[yx] (26528, 21850), (13264, 10925), (6632, 5462), (3316, 2731), (1658, 1365)
├── Points
│ └── 'transcripts': DataFrame with shape: (576146, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (8080, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (8080, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (6900, 2) (2D shapes)
└── Tables
└── 'table': AnnData (8080, 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("LcSt1kNNdZXsjxjR") # 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/LcSt1kNNdZXsjxjR
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid LcSt1kNNdZXsjxjR Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["LcSt1kNNdZXsjxjR0000"])[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
- 8,080
- Transcripts
- 576,146
- Tier
- bronze
- Size
- 443 MB
- Sample ID
- GSM9423571
- 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