10x Xenium
Human macula lutea
GSM9485169
silver Interactive viewer wet macular degeneration No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 20499, 34121), (1, 10249, 17060), (1, 5124, 8530), (1, 2562, 4265), (1, 1281, 2132)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (19816, 33446), (9908, 16723), (4954, 8361), (2477, 4180), (1238, 2090)
│ └── 'nucleus_labels': DataTree[yx] (17939, 33400), (8969, 16700), (4484, 8350), (2242, 4175), (1121, 2087)
├── Points
│ └── 'transcripts': DataFrame with shape: (5692513, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (22498, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (22498, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (22957, 2) (2D shapes)
└── Tables
└── 'table': AnnData (22498, 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("UKi0GLy4Pe8WgDqY") # 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/UKi0GLy4Pe8WgDqY
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid UKi0GLy4Pe8WgDqY Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["UKi0GLy4Pe8WgDqY0000"])[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
- Condition
- wet macular degeneration
- Modality
- RNA
- Observations
- 22,498
- Transcripts
- 5,692,513
- Tier
- silver
- Size
- 750 MB
- Sample ID
- GSM9485169
- 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