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10x Xenium

Human ovary

xenium-comparison-fresh-frozen-human-ovarian-cancer__human-ovary-cancer-ff

silver Interactive viewer H&E ovarian cancer No linked publication
Human ovary preview
print(sdata)
SpatialData object
├── Images
│     ├── 'he_image': DataTree[cyx] (3, 57040, 51442), (3, 28520, 25721), (3, 14260, 12860), (3, 7130, 6430), (3, 3565, 3215)
│     └── 'morphology_focus': DataTree[cyx] (4, 34184, 36968), (4, 17092, 18484), (4, 8546, 9242), (4, 4273, 4621), (4, 2136, 2310)
├── Labels
│     ├── 'cell_labels': DataTree[yx] (34184, 36968), (17092, 18484), (8546, 9242), (4273, 4621), (2136, 2310)
│     └── 'nucleus_labels': DataTree[yx] (34184, 36968), (17092, 18484), (8546, 9242), (4273, 4621), (2136, 2310)
├── Points
│     └── 'transcripts': DataFrame with shape: (184281542, 13) (3D points)
├── Shapes
│     ├── 'cell_boundaries': GeoDataFrame shape: (205082, 1) (2D shapes)
│     ├── 'cell_circles': GeoDataFrame shape: (205082, 2) (2D shapes)
│     └── 'nucleus_boundaries': GeoDataFrame shape: (210467, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (205082, 477)
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)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("d4yjKUQ98oi2aGPT0001")
ds.elements()          # inspect without downloading
sdata = ds.to_sdata()  # cached locally, reused
print(sdata)
Python · lamindb

Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.

import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("d4yjKUQ98oi2aGPT")   # stem uid: Lamin resolves it to the 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
Shell
# sddb client: download the .zarr into data/
sddb-cli download d4yjKUQ98oi2aGPT0001 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/d4yjKUQ98oi2aGPT

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid d4yjKUQ98oi2aGPT

License: CC BY 4.0

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Metadata

Technology
10x Xenium
Organism
human
Tissue
ovary
Condition
ovarian cancer
Modality
RNA
Observations (cells)
205,082
Transcripts
184,281,542
Tier
silver
Chemistry
Xenium v1
Magnification
40x
Resolution
51,442 × 57,040 px
mpp
0.004 µm/px
Size
17.8 GB
Sample ID
xenium-comparison-fresh-frozen-human-ovarian-cancer__human-ovary-cancer-ff
License
CC BY 4.0
Published
Oct 7, 2025

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