10x Xenium
Human bone marrow
GSM9444341
silver Interactive viewer plasma cell myeloma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 17147, 39779), (1, 8573, 19889), (1, 4286, 9944), (1, 2143, 4972), (1, 1071, 2486)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (16406, 38480), (8203, 19240), (4101, 9620), (2050, 4810), (1025, 2405)
│ └── 'nucleus_labels': DataTree[yx] (16360, 38237), (8180, 19118), (4090, 9559), (2045, 4779), (1022, 2389)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (51290, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (51290, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (51997, 2) (2D shapes)
└── Tables
└── 'table': AnnData (51290, 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("5ltnIgPbRvVmuadA") # 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/5ltnIgPbRvVmuadA
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 5ltnIgPbRvVmuadA Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["5ltnIgPbRvVmuadA0000"])[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
- 51,290
- Tier
- silver
- Size
- 817 MB
- Sample ID
- GSM9444341
- 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