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Visium

Human eye

NCBI594

bronze Interactive viewer H&E ✓ Verified publication
Human eye preview
print(sdata)
SpatialData object
├── Images
│     └── 'NCBI594_full_image': DataTree[cyx] (3, 16619, 17470), (3, 8309, 8735), (3, 4154, 4367), (3, 2077, 2183)
├── Shapes
│     └── 'NCBI594_spots': GeoDataFrame shape: (1307, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (1307, 21821)
with coordinate systems:
    ▸ 'global', with elements:
        NCBI594_full_image (Images), NCBI594_spots (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("4NInbsd8lNQs6odD0000")
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("4NInbsd8lNQs6odD")   # 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 4NInbsd8lNQs6odD0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/4NInbsd8lNQs6odD

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 4NInbsd8lNQs6odD

License: CC BY-NC-SA 4.0 (noncommercial)

View on Lamin ↗ Open in Vitessce ↗ Flag a data issue

Metadata

Technology
Visium
Organism
human
Tissue
eye
Modality
RNA
Observations (spots)
1,307
Tier
bronze
Chemistry
Visium v1
Magnification
20x
Resolution
17,470 × 16,619 px
mpp
0.463 µm/px
Size
452 MB
Sample ID
NCBI594
License
CC BY-NC-SA 4.0 NonCommercial
Published
Aug 7, 2023

Cite this dataset

doi.org/10.1101/2023.06.16.544770 ↗
BibTeX
@article{Voigt_2023,
  title = {GENE EXPRESSION WITHIN A HUMAN CHOROIDAL NEOVASCULAR MEMBRANE USING SPATIAL TRANSCRIPTOMICS},
  url = {http://dx.doi.org/10.1101/2023.06.16.544770},
  DOI = {10.1101/2023.06.16.544770},
  publisher = {openRxiv},
  author = {Voigt, Andrew P. and Mullin, Nathaniel K. and Navratil, Emma M. and Flamme-Wiese, Miles J. and Lin, Li-Chun and Scheetz, Todd E. and Han, Ian C. and Stone, Edwin M. and Tucker, Budd A. and Mullins, Robert F.},
  year = {2023},
  month = June
}

Source: NCBI GEO ↗ · License: CC BY-NC-SA 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB