10x Xenium
Human bone marrow
GSM9444334
silver Interactive viewer plasma cell myeloma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 17132, 28453), (1, 8566, 14226), (1, 4283, 7113), (1, 2141, 3556), (1, 1070, 1778)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (16789, 27647), (8394, 13823), (4197, 6911), (2098, 3455), (1049, 1727)
│ └── 'nucleus_labels': DataTree[yx] (16785, 27646), (8392, 13823), (4196, 6911), (2098, 3455), (1049, 1727)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (61836, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (61836, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (63294, 2) (2D shapes)
└── Tables
└── 'table': AnnData (61836, 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("YSNwncuyBQun1OT7") # 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/YSNwncuyBQun1OT7
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid YSNwncuyBQun1OT7 Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["YSNwncuyBQun1OT70000"])[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
- 61,836
- Tier
- silver
- Size
- 603 MB
- Sample ID
- GSM9444334
- 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