10x Xenium
Human bone marrow
GSM9444337
silver Interactive viewer plasma cell myeloma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 13758, 34131), (1, 6879, 17065), (1, 3439, 8532), (1, 1719, 4266), (1, 859, 2133)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (13599, 34062), (6799, 17031), (3399, 8515), (1699, 4257), (849, 2128)
│ └── 'nucleus_labels': DataTree[yx] (13571, 33892), (6785, 16946), (3392, 8473), (1696, 4236), (848, 2118)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (41258, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (41258, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (41631, 2) (2D shapes)
└── Tables
└── 'table': AnnData (41258, 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("72ugwr35Uq44nQOg") # 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/72ugwr35Uq44nQOg
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 72ugwr35Uq44nQOg Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["72ugwr35Uq44nQOg0000"])[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
- 41,258
- Tier
- silver
- Size
- 642 MB
- Sample ID
- GSM9444337
- 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