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10x Xenium

Human lung

ffpe-human-lung-cancer-data-with-human-immuno-oncology-profiling-panel-and-custom-add-on-1-standard

silver Interactive viewer H&E lung cancer No linked publication
Human lung preview
print(sdata)
SpatialData object
├── Images
│     ├── 'he_image': DataTree[cyx] (3, 39361, 15513), (3, 19680, 7756), (3, 9840, 3878), (3, 4920, 1939), (3, 2460, 969)
│     └── 'morphology_focus': DataTree[cyx] (1, 20535, 51103), (1, 10267, 25551), (1, 5133, 12775), (1, 2566, 6387), (1, 1283, 3193)
├── Labels
│     ├── 'cell_labels': DataTree[yx] (20535, 51103), (10267, 25551), (5133, 12775), (2566, 6387), (1283, 3193)
│     └── 'nucleus_labels': DataTree[yx] (20535, 51103), (10267, 25551), (5133, 12775), (2566, 6387), (1283, 3193)
├── Points
│     └── 'transcripts': DataFrame with shape: (40257199, 11) (3D points)
├── Shapes
│     ├── 'cell_boundaries': GeoDataFrame shape: (161000, 1) (2D shapes)
│     ├── 'cell_circles': GeoDataFrame shape: (161000, 2) (2D shapes)
│     └── 'nucleus_boundaries': GeoDataFrame shape: (161000, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (161000, 480)
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("qS0XPrscQdzdOedo0001")
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("qS0XPrscQdzdOedo")   # 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 qS0XPrscQdzdOedo0001 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/qS0XPrscQdzdOedo

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid qS0XPrscQdzdOedo

License: CC BY 4.0

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

Metadata

Technology
10x Xenium
Organism
human
Tissue
lung
Condition
lung cancer
Modality
RNA
Observations (cells)
161,000
Transcripts
40,257,199
Tier
silver
Chemistry
Xenium v1
Magnification
40x
Resolution
15,513 × 39,361 px
mpp
0.001 µm/px
Size
4.4 GB
Sample ID
ffpe-human-lung-cancer-data-with-human-immuno-oncology-profiling-panel-and-custom-add-on-1-standard
License
CC BY 4.0
Published
May 14, 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