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Visium

Human unknown

GSM9980518

silver H&E diffuse large B-cell lymphoma No linked publication
Human unknown preview
print(sdata)
SpatialData object
├── Images
│     ├── 'GSM9980518_T15_T15_full_image': DataTree[cyx] (3, 3000, 3000), (3, 1500, 1500), (3, 750, 750), (3, 375, 375), (3, 187, 187)
│     ├── 'GSM9980518_T15_T15_hires_image': DataArray[cyx] (3, 3000, 3000)
│     └── 'GSM9980518_T15_T15_lowres_image': DataArray[cyx] (3, 600, 600)
├── Shapes
│     └── 'GSM9980518_T15_T15': GeoDataFrame shape: (12388, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (12388, 18085)
with coordinate systems:
    ▸ 'GSM9980518_T15_T15', with elements:
        GSM9980518_T15_T15_full_image (Images), GSM9980518_T15_T15_hires_image (Images), GSM9980518_T15_T15_lowres_image (Images), GSM9980518_T15_T15 (Shapes)
    ▸ 'GSM9980518_T15_T15_downscaled_hires', with elements:
        GSM9980518_T15_T15_hires_image (Images), GSM9980518_T15_T15 (Shapes)
    ▸ 'GSM9980518_T15_T15_downscaled_lowres', with elements:
        GSM9980518_T15_T15_lowres_image (Images), GSM9980518_T15_T15 (Shapes)
Load in Python
import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("QDHfoIvjg1k5tvq7")   # 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/QDHfoIvjg1k5tvq7

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid QDHfoIvjg1k5tvq7
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["QDHfoIvjg1k5tvq70000"])[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
Organism
human
Tissue
unknown
Condition
diffuse large B-cell lymphoma
Modality
RNA
Observations
12,388
Tier
silver
Chemistry
Visium v1
Resolution
3,000 × 3,000 px
mpp
4.236 µm/px
Size
350 MB
Sample ID
GSM9980518
License
unknown
Published
Sep 24, 2026

Cite this dataset

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

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