Visium HD
Human lymph node
GSM9130428
bronze Interactive viewer H&E follicular lymphoma Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'GSM9130428_FL33_full_image': DataTree[cyx] (3, 61762, 91171), (3, 30881, 45585), (3, 15440, 22792), (3, 7720, 11396), (3, 3860, 5698)
├── Shapes
│ ├── 'GSM9130428_FL33_square_008um': GeoDataFrame shape: (701837, 1) (2D shapes)
│ └── 'GSM9130428_FL33_square_008um_for_vitessce': GeoDataFrame shape: (701837, 2) (2D shapes)
└── Tables
└── 'square_008um': AnnData (701837, 18085)
with coordinate systems:
▸ 'GSM9130428_FL33', with elements:
GSM9130428_FL33_full_image (Images), GSM9130428_FL33_square_008um (Shapes), GSM9130428_FL33_square_008um_for_vitessce (Shapes)
▸ 'GSM9130428_FL33_downscaled_hires', with elements:
GSM9130428_FL33_square_008um (Shapes), GSM9130428_FL33_square_008um_for_vitessce (Shapes)
▸ 'GSM9130428_FL33_downscaled_lowres', with elements:
GSM9130428_FL33_square_008um (Shapes), GSM9130428_FL33_square_008um_for_vitessce (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("ILga4H8pKrdfKAmv0000")
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("ILga4H8pKrdfKAmv") # 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 ILga4H8pKrdfKAmv0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/ILga4H8pKrdfKAmv
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid ILga4H8pKrdfKAmvLicense: NCBI GEO policy
Metadata
- Technology
- Visium HD
- Vendor
- 10x Genomics
- Organism
- human
- Tissue
- lymph node
- Condition
- follicular lymphoma
- Modality
- RNA
- Observations (bins)
- 701,837
- Tier
- bronze
- Magnification
- 40x
- Resolution
- 91,171 × 61,762 px
- mpp
- 0.251 µm/px
- Size
- 12.5 GB
- Sample ID
- GSM9130428
- License
- NCBI GEO policy
- Published
- Aug 4, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB