10x Xenium
Human bone marrow
GSM9444338
silver Interactive viewer plasma cell myeloma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 17120, 31308), (1, 8560, 15654), (1, 4280, 7827), (1, 2140, 3913), (1, 1070, 1956)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (17099, 31101), (8549, 15550), (4274, 7775), (2137, 3887), (1068, 1943)
│ └── 'nucleus_labels': DataTree[yx] (17053, 31091), (8526, 15545), (4263, 7772), (2131, 3886), (1065, 1943)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (26994, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (26994, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (27422, 2) (2D shapes)
└── Tables
└── 'table': AnnData (26994, 477)
with coordinate systems:
▸ 'global', with elements:
morphology_mip (Images), cell_labels (Labels), nucleus_labels (Labels), 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("1u4M6WJnii784qsH") # 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/1u4M6WJnii784qsH
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 1u4M6WJnii784qsH Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["1u4M6WJnii784qsH0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- bone marrow
- Condition
- plasma cell myeloma
- Modality
- RNA
- Observations
- 26,994
- Tier
- silver
- Size
- 484 MB
- Sample ID
- GSM9444338
- License
- unknown
- Published
- Oct 3, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB