Visium HD
Mouse lung
visium-hd-cytassist-gene-expression-mouse-lung-fresh-frozen
silver Interactive viewer H&E No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'Visium_HD_Mouse_Lung_Fresh_Frozen_full_image': DataTree[cyx] (3, 59538, 38362), (3, 29769, 19181), (3, 14884, 9590), (3, 7442, 4795), (3, 3721, 2397)
├── Shapes
│ ├── 'Visium_HD_Mouse_Lung_Fresh_Frozen_square_002um': GeoDataFrame shape: (9157834, 1) (2D shapes)
│ ├── 'Visium_HD_Mouse_Lung_Fresh_Frozen_square_008um': GeoDataFrame shape: (576389, 1) (2D shapes)
│ ├── 'Visium_HD_Mouse_Lung_Fresh_Frozen_square_016um': GeoDataFrame shape: (145323, 1) (2D shapes)
│ └── 'Visium_HD_Mouse_Lung_Fresh_Frozen_square_016um_for_vitessce': GeoDataFrame shape: (145323, 2) (2D shapes)
└── Tables
├── 'square_002um': AnnData (9157834, 19059)
├── 'square_008um': AnnData (576389, 19059)
└── 'square_016um': AnnData (145323, 19059)
with coordinate systems:
▸ 'Visium_HD_Mouse_Lung_Fresh_Frozen', with elements:
Visium_HD_Mouse_Lung_Fresh_Frozen_full_image (Images), Visium_HD_Mouse_Lung_Fresh_Frozen_square_002um (Shapes), Visium_HD_Mouse_Lung_Fresh_Frozen_square_008um (Shapes), Visium_HD_Mouse_Lung_Fresh_Frozen_square_016um (Shapes), Visium_HD_Mouse_Lung_Fresh_Frozen_square_016um_for_vitessce (Shapes)
▸ 'Visium_HD_Mouse_Lung_Fresh_Frozen_downscaled_hires', with elements:
Visium_HD_Mouse_Lung_Fresh_Frozen_square_002um (Shapes), Visium_HD_Mouse_Lung_Fresh_Frozen_square_008um (Shapes), Visium_HD_Mouse_Lung_Fresh_Frozen_square_016um (Shapes), Visium_HD_Mouse_Lung_Fresh_Frozen_square_016um_for_vitessce (Shapes)
▸ 'Visium_HD_Mouse_Lung_Fresh_Frozen_downscaled_lowres', with elements:
Visium_HD_Mouse_Lung_Fresh_Frozen_square_002um (Shapes), Visium_HD_Mouse_Lung_Fresh_Frozen_square_008um (Shapes), Visium_HD_Mouse_Lung_Fresh_Frozen_square_016um (Shapes), Visium_HD_Mouse_Lung_Fresh_Frozen_square_016um_for_vitessce (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("B4cNxQvCqmdrULuF0000")
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("B4cNxQvCqmdrULuF") # 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 B4cNxQvCqmdrULuF0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/B4cNxQvCqmdrULuF
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid B4cNxQvCqmdrULuFLicense: CC BY 4.0
Metadata
- Technology
- Visium HD
- Organism
- mouse
- Tissue
- lung
- Modality
- RNA
- Observations (bins)
- 576,389
- Tier
- silver
- Chemistry
- Visium HD v1
- Magnification
- 40x
- Resolution
- 38,362 × 59,538 px
- mpp
- 0.274 µm/px
- Size
- 7.7 GB
- Sample ID
- visium-hd-cytassist-gene-expression-mouse-lung-fresh-frozen
- License
- CC BY 4.0
- Published
- Sep 17, 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