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10x Xenium

Human breast

xenium-prime-ffpe-human-breast-cancer

silver Interactive viewer H&E breast cancer No linked publication
Human breast preview
print(sdata)
SpatialData object
├── Images
│     ├── 'he_image': DataTree[cyx] (3, 37433, 57382), (3, 18716, 28691), (3, 9358, 14345), (3, 4679, 7172), (3, 2339, 3586)
│     └── 'morphology_focus': DataTree[cyx] (4, 74945, 51265), (4, 37472, 25632), (4, 18736, 12816), (4, 9368, 6408), (4, 4684, 3204)
├── Labels
│     ├── 'cell_labels': DataTree[yx] (74945, 51265), (37472, 25632), (18736, 12816), (9368, 6408), (4684, 3204)
│     └── 'nucleus_labels': DataTree[yx] (74945, 51265), (37472, 25632), (18736, 12816), (9368, 6408), (4684, 3204)
├── Points
│     └── 'transcripts': DataFrame with shape: (109411890, 13) (3D points)
├── Shapes
│     ├── 'cell_boundaries': GeoDataFrame shape: (699110, 1) (2D shapes)
│     ├── 'cell_circles': GeoDataFrame shape: (699110, 2) (2D shapes)
│     └── 'nucleus_boundaries': GeoDataFrame shape: (701534, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (699110, 5101)
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("XlobaQGXpkAVt3DD0001")
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("XlobaQGXpkAVt3DD")   # 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 XlobaQGXpkAVt3DD0001 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/XlobaQGXpkAVt3DD

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid XlobaQGXpkAVt3DD

License: CC BY 4.0

View on Lamin ↗ Open in Vitessce ↗ Flag a data issue

Metadata

Technology
10x Xenium
Organism
human
Tissue
breast
Condition
breast cancer
Modality
RNA
Observations (cells)
699,110
Transcripts
109,411,890
Tier
silver
Chemistry
Xenium Prime
Magnification
40x
Resolution
57,382 × 37,433 px
mpp
0.011 µm/px
Size
28.9 GB
Sample ID
xenium-prime-ffpe-human-breast-cancer
License
CC BY 4.0
Published
Oct 24, 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