10x Xenium
Human prostate gland
xenium-prime-ffpe-human-prostate
silver Interactive viewer H&E adenocarcinoma No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'he_image': DataTree[cyx] (3, 49976, 25002), (3, 24988, 12501), (3, 12494, 6250), (3, 6247, 3125), (3, 3123, 1562)
│ └── 'morphology_focus': DataTree[cyx] (4, 30420, 54160), (4, 15210, 27080), (4, 7605, 13540), (4, 3802, 6770), (4, 1901, 3385)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (30420, 54160), (15210, 27080), (7605, 13540), (3802, 6770), (1901, 3385)
│ └── 'nucleus_labels': DataTree[yx] (30420, 54160), (15210, 27080), (7605, 13540), (3802, 6770), (1901, 3385)
├── Points
│ └── 'transcripts': DataFrame with shape: (59727355, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (193000, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (193000, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (191544, 2) (2D shapes)
└── Tables
└── 'table': AnnData (193000, 5006)
with coordinate systems:
▸ 'global', with elements:
he_image (Images), morphology_focus (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("5mKiTeCFsNZsIQmF") # 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/5mKiTeCFsNZsIQmF
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 5mKiTeCFsNZsIQmF Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["5mKiTeCFsNZsIQmF0001"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- prostate gland
- Condition
- adenocarcinoma
- Modality
- RNA
- Observations
- 193,000
- Transcripts
- 59,727,355
- Tier
- silver
- Chemistry
- Xenium Prime
- Magnification
- 40x
- Resolution
- 25,002 × 49,976 px
- mpp
- 0.013 µm/px
- Size
- 10.0 GB
- Sample ID
- xenium-prime-ffpe-human-prostate
- License
- CC BY 4.0
- Published
- Jul 31, 2024
Cite this dataset
No linked publication found — please cite the data source: 10x Genomics ↗.
Source: 10x Genomics ↗ · License: CC BY 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB