10x Xenium
Human macula lutea
GSM9485168
silver Interactive viewer wet macular degeneration No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 20524, 34120), (1, 10262, 17060), (1, 5131, 8530), (1, 2565, 4265), (1, 1282, 2132)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (18574, 33382), (9287, 16691), (4643, 8345), (2321, 4172), (1160, 2086)
│ └── 'nucleus_labels': DataTree[yx] (18005, 31952), (9002, 15976), (4501, 7988), (2250, 3994), (1125, 1997)
├── Points
│ └── 'transcripts': DataFrame with shape: (5199740, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (19796, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (19796, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (20267, 2) (2D shapes)
└── Tables
└── 'table': AnnData (19796, 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("mz7UO8xfTdERCuZV") # 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/mz7UO8xfTdERCuZV
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid mz7UO8xfTdERCuZV Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["mz7UO8xfTdERCuZV0000"])[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
- 19,796
- Transcripts
- 5,199,740
- Tier
- silver
- Size
- 708 MB
- Sample ID
- GSM9485168
- 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