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Visium

Human spleen

GSM9750814

silver Interactive viewer H&E myelofibrosis No linked publication
Human spleen preview
print(sdata)
SpatialData object
├── Images
│     └── 'GSM9750814_MPN4_hires_image': DataArray[cyx] (3, 1980, 2000)
├── Shapes
│     └── 'GSM9750814_MPN4': GeoDataFrame shape: (4979, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (4979, 18085)
with coordinate systems:
    ▸ 'GSM9750814_MPN4', with elements:
        GSM9750814_MPN4_hires_image (Images), GSM9750814_MPN4 (Shapes)
    ▸ 'GSM9750814_MPN4_downscaled_hires', with elements:
        GSM9750814_MPN4_hires_image (Images), GSM9750814_MPN4 (Shapes)
    ▸ 'GSM9750814_MPN4_downscaled_lowres', with elements:
        GSM9750814_MPN4 (Shapes)
Load in Python
import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("lx6SZqsVlneUa1kn")   # 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/lx6SZqsVlneUa1kn

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid lx6SZqsVlneUa1kn
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["lx6SZqsVlneUa1kn0000"])[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
spleen
Condition
myelofibrosis
Modality
RNA
Observations
4,979
Tier
silver
Chemistry
Visium v1
Resolution
2,000 × 1,980 px
mpp
2.912 µm/px
Size
21 MB
Sample ID
GSM9750814
License
unknown
Published
Jun 29, 2026

Cite this dataset

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

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