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Visium HD

Human lymph node

GSM8658291

bronze Interactive viewer H&E prostate cancer Provisional
Human lymph node preview
print(sdata)
SpatialData object
├── Images
│     ├── 'GSM8658291_SI_38363_hires_image': DataArray[cyx] (3, 5882, 6000)
│     └── 'GSM8658291_SI_38363_lowres_image': DataArray[cyx] (3, 588, 600)
├── Shapes
│     ├── 'GSM8658291_SI_38363_square_008um': GeoDataFrame shape: (79789, 1) (2D shapes)
│     └── 'GSM8658291_SI_38363_square_008um_for_vitessce': GeoDataFrame shape: (79789, 2) (2D shapes)
└── Tables
      └── 'square_008um': AnnData (79789, 18085)
with coordinate systems:
    ▸ 'GSM8658291_SI_38363', with elements:
        GSM8658291_SI_38363_hires_image (Images), GSM8658291_SI_38363_lowres_image (Images), GSM8658291_SI_38363_square_008um (Shapes), GSM8658291_SI_38363_square_008um_for_vitessce (Shapes)
    ▸ 'GSM8658291_SI_38363_downscaled_hires', with elements:
        GSM8658291_SI_38363_hires_image (Images), GSM8658291_SI_38363_square_008um (Shapes), GSM8658291_SI_38363_square_008um_for_vitessce (Shapes)
    ▸ 'GSM8658291_SI_38363_downscaled_lowres', with elements:
        GSM8658291_SI_38363_lowres_image (Images), GSM8658291_SI_38363_square_008um (Shapes), GSM8658291_SI_38363_square_008um_for_vitessce (Shapes)
Load in Python
import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("xocPl93YPX5ZN2Dd")   # 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/xocPl93YPX5ZN2Dd

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid xocPl93YPX5ZN2Dd
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["xocPl93YPX5ZN2Dd0002"])[0]
ds.elements()                 # inspect without downloading
sdata = ds.load(lazy=False)   # copy to the local cache and open

Docs: finding & loading data →

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Metadata

Technology
Visium HD
Organism
human
Tissue
lymph node
Condition
prostate cancer
Modality
RNA
Observations
79,789
Tier
bronze
Resolution
6,000 × 5,882 px
mpp
1.548 µm/px
Size
234 MB
Sample ID
GSM8658291
License
unknown
Published
Jun 23, 2025

Cite this dataset

No linked publication found — please cite the data source: NCBI GEO ↗.

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