10x Xenium
Human lung
GSM9525964
silver Interactive viewer acute myeloid leukemia No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataArray[cyx] (1, 50998, 19937)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (50998, 19937), (25499, 9968), (12749, 4984), (6374, 2492), (3187, 1246)
│ └── 'nucleus_labels': DataTree[yx] (50998, 19937), (25499, 9968), (12749, 4984), (6374, 2492), (3187, 1246)
├── Points
│ └── 'transcripts': DataFrame with shape: (5336281, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (43810, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (43810, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (43760, 2) (2D shapes)
└── Tables
└── 'table': AnnData (43810, 5001)
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("RdG9XtWiTzkUJb9g") # 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/RdG9XtWiTzkUJb9g
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid RdG9XtWiTzkUJb9g Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["RdG9XtWiTzkUJb9g0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and open Part of collection
Inflammatory immune modulators of AML lung infiltration and respiratory failure→ 3 datasets · comparison
Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- lung
- Condition
- acute myeloid leukemia
- Modality
- RNA
- Observations
- 43,810
- Transcripts
- 5,336,281
- Tier
- silver
- Size
- 509 MB
- Sample ID
- GSM9525964
- License
- NCBI GEO policy
- Published
- May 22, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB