10x Xenium
Human bone marrow
GSM9444343
silver Interactive viewer plasma cell myeloma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 17116, 39796), (1, 8558, 19898), (1, 4279, 9949), (1, 2139, 4974), (1, 1069, 2487)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (16813, 37433), (8406, 18716), (4203, 9358), (2101, 4679), (1050, 2339)
│ └── 'nucleus_labels': DataTree[yx] (16789, 37390), (8394, 18695), (4197, 9347), (2098, 4673), (1049, 2336)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (60024, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (60024, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (60605, 2) (2D shapes)
└── Tables
└── 'table': AnnData (60024, 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("Z6Zy7weRm5jVx99q") # 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/Z6Zy7weRm5jVx99q
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid Z6Zy7weRm5jVx99q Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["Z6Zy7weRm5jVx99q0000"])[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
- 60,024
- Tier
- silver
- Size
- 835 MB
- Sample ID
- GSM9444343
- 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