Visium
Human colon
V53M06-039
Interactive viewer H&E adenocarcinoma No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'CytAssist_FFPE_Human_Colon_Rep1_full_image': DataTree[cyx] (3, 2000, 1506), (3, 1000, 753), (3, 500, 376), (3, 250, 188), (3, 125, 94)
│ ├── 'CytAssist_FFPE_Human_Colon_Rep1_hires_image': DataArray[cyx] (3, 2000, 1506)
│ └── 'CytAssist_FFPE_Human_Colon_Rep1_lowres_image': DataArray[cyx] (3, 600, 452)
├── Shapes
│ └── 'CytAssist_FFPE_Human_Colon_Rep1': GeoDataFrame shape: (6487, 2) (2D shapes)
└── Tables
└── 'table': AnnData (6487, 18085)
with coordinate systems:
▸ 'downscaled_hires', with elements:
CytAssist_FFPE_Human_Colon_Rep1_hires_image (Images), CytAssist_FFPE_Human_Colon_Rep1 (Shapes)
▸ 'downscaled_lowres', with elements:
CytAssist_FFPE_Human_Colon_Rep1_lowres_image (Images), CytAssist_FFPE_Human_Colon_Rep1 (Shapes)
▸ 'global', with elements:
CytAssist_FFPE_Human_Colon_Rep1_full_image (Images), CytAssist_FFPE_Human_Colon_Rep1 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("LEmjbIthI5Ge9P64") # 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/LEmjbIthI5Ge9P64
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid LEmjbIthI5Ge9P64 Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["LEmjbIthI5Ge9P640002"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Visium CytAssist Gene Expression of Post-Xenium vs Control→ 5 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- colon
- Condition
- adenocarcinoma
- Modality
- RNA
- Observations
- 6,487
- Chemistry
- Visium CytAssist v2
- Resolution
- 1,506 × 2,000 px
- mpp
- 4.784 µm/px
- Size
- 87 MB
- Sample ID
- V53M06-039
- License
- CC BY 4.0
- Published
- Oct 5, 2023
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