10x Xenium
Human coronary artery
GSM9423568
bronze Interactive viewer atherosclerosis Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 20523, 19979), (1, 10261, 9989), (1, 5130, 4994), (1, 2565, 2497), (1, 1282, 1248)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (19852, 19865), (9926, 9932), (4963, 4966), (2481, 2483), (1240, 1241)
│ └── 'nucleus_labels': DataTree[yx] (19807, 19832), (9903, 9916), (4951, 4958), (2475, 2479), (1237, 1239)
├── Points
│ └── 'transcripts': DataFrame with shape: (868275, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (7403, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (7403, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (7310, 2) (2D shapes)
└── Tables
└── 'table': AnnData (7403, 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("AYJnFkpY2hEzi1aV") # 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/AYJnFkpY2hEzi1aV
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid AYJnFkpY2hEzi1aV Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["AYJnFkpY2hEzi1aV0000"])[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
- 7,403
- Transcripts
- 868,275
- Tier
- bronze
- Size
- 352 MB
- Sample ID
- GSM9423568
- 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