10x Xenium
Human macula lutea
GSM9485167
silver Interactive viewer wet macular degeneration No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 13731, 36955), (1, 6865, 18477), (1, 3432, 9238), (1, 1716, 4619), (1, 858, 2309)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (13318, 35860), (6659, 17930), (3329, 8965), (1664, 4482), (832, 2241)
│ └── 'nucleus_labels': DataTree[yx] (12108, 34820), (6054, 17410), (3027, 8705), (1513, 4352), (756, 2176)
├── Points
│ └── 'transcripts': DataFrame with shape: (7472607, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (20819, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (20819, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (21012, 2) (2D shapes)
└── Tables
└── 'table': AnnData (20819, 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("THwvt3HJXjFtwdYZ") # 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/THwvt3HJXjFtwdYZ
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid THwvt3HJXjFtwdYZ Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["THwvt3HJXjFtwdYZ0000"])[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
- 20,819
- Transcripts
- 7,472,607
- Tier
- silver
- Size
- 681 MB
- Sample ID
- GSM9485167
- 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