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10x Xenium

Human heart

human-heart-data-xenium-human-multi-tissue-and-cancer-panel-1-standard

silver Interactive viewer H&E No linked publication
Human heart preview
print(sdata)
SpatialData object
├── Images
│     ├── 'he_image': DataTree[cyx] (3, 10645, 24544), (3, 5322, 12272), (3, 2661, 6136), (3, 1330, 3068), (3, 665, 1534)
│     ├── 'morphology_focus': DataTree[cyx] (1, 34050, 14326), (1, 17025, 7163), (1, 8512, 3581), (1, 4256, 1790), (1, 2128, 895)
│     └── 'morphology_mip': DataTree[cyx] (1, 34050, 14326), (1, 17025, 7163), (1, 8512, 3581), (1, 4256, 1790), (1, 2128, 895)
├── Labels
│     ├── 'cell_labels': DataTree[yx] (34050, 14326), (17025, 7163), (8512, 3581), (4256, 1790), (2128, 895)
│     └── 'nucleus_labels': DataTree[yx] (34050, 14326), (17025, 7163), (8512, 3581), (4256, 1790), (2128, 895)
├── Points
│     └── 'transcripts': DataFrame with shape: (2452409, 10) (3D points)
├── Shapes
│     ├── 'cell_boundaries': GeoDataFrame shape: (26366, 1) (2D shapes)
│     ├── 'cell_circles': GeoDataFrame shape: (26366, 2) (2D shapes)
│     └── 'nucleus_boundaries': GeoDataFrame shape: (26366, 1) (2D shapes)
└── Tables
      └── 'table': AnnData (26366, 377)
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("Lgv6nVzHIwrsIwiz0001")
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("Lgv6nVzHIwrsIwiz")   # 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 Lgv6nVzHIwrsIwiz0001 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/Lgv6nVzHIwrsIwiz

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid Lgv6nVzHIwrsIwiz

License: CC BY 4.0

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

Metadata

Technology
10x Xenium
Organism
human
Tissue
heart
Modality
RNA
Observations (cells)
26,366
Transcripts
2,452,409
Tier
silver
Chemistry
Xenium v1
Magnification
40x
Resolution
24,544 × 10,645 px
mpp
0.003 µm/px
Size
1.9 GB
Sample ID
human-heart-data-xenium-human-multi-tissue-and-cancer-panel-1-standard
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