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Visium

Rat brainstem

GSM8125596

bronze Interactive viewer H&E Provisional
Rat brainstem preview
print(sdata)
SpatialData object
├── Images
│     ├── 'GSM8125596_5_S5_hires_image': DataArray[cyx] (3, 1922, 2000)
│     └── 'GSM8125596_5_S5_lowres_image': DataArray[cyx] (3, 577, 600)
├── Shapes
│     └── 'GSM8125596_5_S5': GeoDataFrame shape: (2182, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (2182, 25340)
with coordinate systems:
    ▸ 'GSM8125596_5_S5', with elements:
        GSM8125596_5_S5_hires_image (Images), GSM8125596_5_S5_lowres_image (Images), GSM8125596_5_S5 (Shapes)
    ▸ 'GSM8125596_5_S5_downscaled_hires', with elements:
        GSM8125596_5_S5_hires_image (Images), GSM8125596_5_S5 (Shapes)
    ▸ 'GSM8125596_5_S5_downscaled_lowres', with elements:
        GSM8125596_5_S5_lowres_image (Images), GSM8125596_5_S5 (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("ZqJEYNxHBSymjQ1s0000")
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("ZqJEYNxHBSymjQ1s")   # 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 ZqJEYNxHBSymjQ1s0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/ZqJEYNxHBSymjQ1s

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid ZqJEYNxHBSymjQ1s

License: NCBI GEO policy

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Metadata

Technology
Visium
Organism
rat
Tissue
brainstem
Modality
RNA
Observations (spots)
2,182
Tier
bronze
Chemistry
Visium v1
Magnification
other
Resolution
2,000 × 1,922 px
mpp
3.547 µm/px
Size
20.0 MB
Sample ID
GSM8125596
License
NCBI GEO policy
Published
Jul 22, 2024

Cite this dataset

doi.org/10.1016/j.isci.2024.110549 ↗
BibTeX
@article{Hornung_2024,
  title = {Neuromodulatory co-expression in cardiac vagal motor neurons of the dorsal motor nucleus of the vagus},
  volume = {27},
  ISSN = {2589-0042},
  url = {http://dx.doi.org/10.1016/j.isci.2024.110549},
  DOI = {10.1016/j.isci.2024.110549},
  number = {8},
  journal = {iScience},
  publisher = {Elsevier BV},
  author = {Hornung, Eden and Robbins, Shaina and Srivastava, Ankita and Achanta, Sirisha and Chen, Jin and Cheng, Zixi Jack and Schwaber, James and Vadigepalli, Rajanikanth},
  year = {2024},
  month = Aug,
  pages = {110549}
}

Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB