Visium HD
Human lymph node
GSM9130427
bronze Interactive viewer H&E follicular lymphoma Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'GSM9130427_FL14_full_image': DataTree[cyx] (3, 92430, 81920), (3, 46215, 40960), (3, 23107, 20480), (3, 11553, 10240), (3, 5776, 5120)
├── Shapes
│ ├── 'GSM9130427_FL14_square_008um': GeoDataFrame shape: (582846, 1) (2D shapes)
│ └── 'GSM9130427_FL14_square_008um_for_vitessce': GeoDataFrame shape: (582846, 2) (2D shapes)
└── Tables
└── 'square_008um': AnnData (582846, 18085)
with coordinate systems:
▸ 'GSM9130427_FL14', with elements:
GSM9130427_FL14_full_image (Images), GSM9130427_FL14_square_008um (Shapes), GSM9130427_FL14_square_008um_for_vitessce (Shapes)
▸ 'GSM9130427_FL14_downscaled_hires', with elements:
GSM9130427_FL14_square_008um (Shapes), GSM9130427_FL14_square_008um_for_vitessce (Shapes)
▸ 'GSM9130427_FL14_downscaled_lowres', with elements:
GSM9130427_FL14_square_008um (Shapes), GSM9130427_FL14_square_008um_for_vitessce (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("flDNwBjEigTkVs8r0000")
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("flDNwBjEigTkVs8r") # 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 flDNwBjEigTkVs8r0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/flDNwBjEigTkVs8r
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid flDNwBjEigTkVs8rLicense: NCBI GEO policy
Metadata
- Technology
- Visium HD
- Vendor
- 10x Genomics
- Organism
- human
- Tissue
- lymph node
- Condition
- follicular lymphoma
- Modality
- RNA
- Observations (bins)
- 582,846
- Tier
- bronze
- Magnification
- 40x
- Resolution
- 81,920 × 92,430 px
- mpp
- 0.251 µm/px
- Size
- 13.7 GB
- Sample ID
- GSM9130427
- 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