10x Xenium
Mouse multicellular organism
xenium-prime-ffpe-neonatal-mouse
silver Interactive viewer H&E No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'he_image': DataTree[cyx] (3, 62008, 90959), (3, 31004, 45479), (3, 15502, 22739), (3, 7751, 11369), (3, 3875, 5684)
│ └── 'morphology_focus': DataTree[cyx] (4, 112076, 53910), (4, 56038, 26955), (4, 28019, 13477), (4, 14009, 6738), (4, 7004, 3369)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (112076, 53910), (56038, 26955), (28019, 13477), (14009, 6738), (7004, 3369)
│ └── 'nucleus_labels': DataTree[yx] (112076, 53910), (56038, 26955), (28019, 13477), (14009, 6738), (7004, 3369)
├── Points
│ └── 'transcripts': DataFrame with shape: (669251333, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (1298870, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (1298870, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (1285590, 2) (2D shapes)
└── Tables
└── 'table': AnnData (1298870, 5010)
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) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("pwgvOio5S3dwuH2s") # 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 Load from the CLI
# one-shot: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/pwgvOio5S3dwuH2s
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid pwgvOio5S3dwuH2s Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["pwgvOio5S3dwuH2s0001"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- mouse
- Tissue
- multicellular organism
- Modality
- RNA
- Observations
- 1,298,870
- Transcripts
- 669,251,333
- Tier
- silver
- Chemistry
- Xenium Prime
- Magnification
- 40x
- Resolution
- 90,959 × 62,008 px
- mpp
- 0.003 µm/px
- Size
- 57 GB
- Sample ID
- xenium-prime-ffpe-neonatal-mouse
- License
- CC BY 4.0
- Published
- Sep 27, 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