10x Xenium
Human liver
human-liver-data-xenium-human-multi-tissue-and-cancer-panel-1-standard__hliver-cancer-section-ffpe
silver Interactive viewer H&E No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'he_image': DataTree[cyx] (3, 33795, 15404), (3, 16897, 7702), (3, 8448, 3851), (3, 4224, 1925), (3, 2112, 962)
│ ├── 'morphology_focus': DataTree[cyx] (1, 20528, 42618), (1, 10264, 21309), (1, 5132, 10654), (1, 2566, 5327), (1, 1283, 2663)
│ └── 'morphology_mip': DataTree[cyx] (1, 20528, 42618), (1, 10264, 21309), (1, 5132, 10654), (1, 2566, 5327), (1, 1283, 2663)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (20528, 42618), (10264, 21309), (5132, 10654), (2566, 5327), (1283, 2663)
│ └── 'nucleus_labels': DataTree[yx] (20528, 42618), (10264, 21309), (5132, 10654), (2566, 5327), (1283, 2663)
├── Points
│ └── 'transcripts': DataFrame with shape: (27670674, 10) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (162628, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (162628, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (162628, 1) (2D shapes)
└── Tables
└── 'table': AnnData (162628, 474)
with coordinate systems:
▸ 'global', with elements:
he_image (Images), morphology_focus (Images), morphology_mip (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("45CpadGBXj4lLwjl0001")
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("45CpadGBXj4lLwjl") # 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 45CpadGBXj4lLwjl0001 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/45CpadGBXj4lLwjl
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 45CpadGBXj4lLwjlLicense: CC BY 4.0
Part of collection
10x-human-liver-data-xenium-human-multi-tissue-and-cancer-panel-1-standard→ 2 datasets · other
Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- liver
- Modality
- RNA
- Observations (cells)
- 162,628
- Transcripts
- 27,670,674
- Tier
- silver
- Chemistry
- Xenium v1
- Magnification
- 40x
- Resolution
- 15,404 × 33,795 px
- mpp
- 0.000 µm/px
- Size
- 4.7 GB
- Sample ID
- human-liver-data-xenium-human-multi-tissue-and-cancer-panel-1-standard__hliver-cancer-section-ffpe
- License
- CC BY 4.0
- Published
- Mar 5, 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