Visium
Mouse large intestine
code from SpaceFold paper (WTLI1)
bronze Interactive viewer H&E Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'WTLI1_outs_hires_image': DataArray[cyx] (3, 2000, 2000)
│ └── 'WTLI1_outs_lowres_image': DataArray[cyx] (3, 600, 600)
├── Shapes
│ └── 'WTLI1_outs': GeoDataFrame shape: (2096, 2) (2D shapes)
└── Tables
└── 'table': AnnData (2096, 32285)
with coordinate systems:
▸ 'WTLI1_outs', with elements:
WTLI1_outs_hires_image (Images), WTLI1_outs_lowres_image (Images), WTLI1_outs (Shapes)
▸ 'WTLI1_outs_downscaled_hires', with elements:
WTLI1_outs_hires_image (Images), WTLI1_outs (Shapes)
▸ 'WTLI1_outs_downscaled_lowres', with elements:
WTLI1_outs_lowres_image (Images), WTLI1_outs (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("pRZXELkdBNiW3fgM0000")
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("pRZXELkdBNiW3fgM") # 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 pRZXELkdBNiW3fgM0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/pRZXELkdBNiW3fgM
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid pRZXELkdBNiW3fgMLicense: CC BY 4.0
Metadata
- Technology
- Visium
- Vendor
- 10x Genomics
- Organism
- mouse
- Tissue
- large intestine
- Modality
- RNA
- Observations (spots)
- 2,096
- Tier
- bronze
- Chemistry
- Visium v1
- Resolution
- 2,000 × 2,000 px
- mpp
- 3.458 µm/px
- Size
- 37.3 MB
- Sample ID
- 19715029:WTLI1
- License
- CC BY 4.0
- Published
- Jul 19, 2022
Cite this dataset
doi.org/10.6084/m9.figshare.19715029.v4 ↗ BibTeX
@article{figshare:19715029,
doi = {10.6084/m9.figshare.19715029.v4},
title = {code from SpaceFold paper (WTSI2)},
year = {2022}
}Source: figshare.com ↗ · License: CC BY 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB