10x Xenium
Human macula lutea
GSM9485164
silver Interactive viewer No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 37473, 11488), (1, 18736, 5744), (1, 9368, 2872), (1, 4684, 1436), (1, 2342, 718)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (36948, 11151), (18474, 5575), (9237, 2787), (4618, 1393), (2309, 696)
│ └── 'nucleus_labels': DataTree[yx] (34447, 10554), (17223, 5277), (8611, 2638), (4305, 1319), (2152, 659)
├── Points
│ └── 'transcripts': DataFrame with shape: (10578376, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (22524, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (22524, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (23271, 2) (2D shapes)
└── Tables
└── 'table': AnnData (22524, 5100)
with coordinate systems:
▸ 'global', with elements:
morphology_mip (Images), cell_labels (Labels), nucleus_labels (Labels), transcripts (Points), 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("kGAcZWJPsy4I1NmD") # 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/kGAcZWJPsy4I1NmD
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid kGAcZWJPsy4I1NmD Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["kGAcZWJPsy4I1NmD0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- macula lutea
- Modality
- RNA
- Observations
- 22,524
- Transcripts
- 10,578,376
- Tier
- silver
- Size
- 694 MB
- Sample ID
- GSM9485164
- License
- unknown
- Published
- Oct 2, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB