Visium
Human ovary
human-ovarian-cancer-targeted-pan-cancer-panel-stains-dapi-anti-pan-ck-anti-cd-45-1-standard-1-2-0
silver Interactive viewer H&E Endometrial Adenocarcinoma No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'Targeted_Visium_Human_OvarianCancer_Pan_Cancer_full_image': DataTree[cyx] (4, 24240, 24240), (4, 12120, 12120), (4, 6060, 6060), (4, 3030, 3030), (4, 1515, 1515)
│ ├── 'Targeted_Visium_Human_OvarianCancer_Pan_Cancer_hires_image': DataArray[cyx] (3, 2000, 2000)
│ └── 'Targeted_Visium_Human_OvarianCancer_Pan_Cancer_lowres_image': DataArray[cyx] (3, 600, 600)
├── Shapes
│ └── 'Targeted_Visium_Human_OvarianCancer_Pan_Cancer': GeoDataFrame shape: (3493, 2) (2D shapes)
└── Tables
└── 'table': AnnData (3493, 1253)
with coordinate systems:
▸ 'Targeted_Visium_Human_OvarianCancer_Pan_Cancer', with elements:
Targeted_Visium_Human_OvarianCancer_Pan_Cancer_full_image (Images), Targeted_Visium_Human_OvarianCancer_Pan_Cancer_hires_image (Images), Targeted_Visium_Human_OvarianCancer_Pan_Cancer_lowres_image (Images), Targeted_Visium_Human_OvarianCancer_Pan_Cancer (Shapes)
▸ 'Targeted_Visium_Human_OvarianCancer_Pan_Cancer_downscaled_hires', with elements:
Targeted_Visium_Human_OvarianCancer_Pan_Cancer_hires_image (Images), Targeted_Visium_Human_OvarianCancer_Pan_Cancer (Shapes)
▸ 'Targeted_Visium_Human_OvarianCancer_Pan_Cancer_downscaled_lowres', with elements:
Targeted_Visium_Human_OvarianCancer_Pan_Cancer_lowres_image (Images), Targeted_Visium_Human_OvarianCancer_Pan_Cancer (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("8tzX3kVY3InHDexb") # 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/8tzX3kVY3InHDexb
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 8tzX3kVY3InHDexb Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["8tzX3kVY3InHDexb0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- Visium
- Organism
- human
- Tissue
- ovary
- Condition
- Endometrial Adenocarcinoma
- Modality
- RNA
- Observations
- 3,493
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 2,000 × 2,000 px
- mpp
- 3.737 µm/px
- Size
- 3.3 GB
- Sample ID
- human-ovarian-cancer-targeted-pan-cancer-panel-stains-dapi-anti-pan-ck-anti-cd-45-1-standard-1-2-0
- License
- CC BY 4.0
- Published
- Oct 27, 2020
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