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Visium

Human thyroid gland

GSM7980864

silver Interactive viewer H&E thyroid gland carcinoma No linked publication
Human thyroid gland preview
print(sdata)
SpatialData object
├── Images
│     └── 'GSM7980864_PTC-1_visium_hires_image': DataArray[cyx] (3, 2000, 1976)
├── Shapes
│     └── 'GSM7980864_PTC-1_visium': GeoDataFrame shape: (2270, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (2270, 36601)
with coordinate systems:
    ▸ 'GSM7980864_PTC-1_visium', with elements:
        GSM7980864_PTC-1_visium_hires_image (Images), GSM7980864_PTC-1_visium (Shapes)
    ▸ 'GSM7980864_PTC-1_visium_downscaled_hires', with elements:
        GSM7980864_PTC-1_visium_hires_image (Images), GSM7980864_PTC-1_visium (Shapes)
    ▸ 'GSM7980864_PTC-1_visium_downscaled_lowres', with elements:
        GSM7980864_PTC-1_visium (Shapes)
Load in Python
import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("oK3svb53t1zckr4f")   # 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/oK3svb53t1zckr4f

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid oK3svb53t1zckr4f
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["oK3svb53t1zckr4f0000"])[0]
ds.elements()                 # inspect without downloading
sdata = ds.load(lazy=False)   # copy to the local cache and open

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Metadata

Technology
Visium
Organism
human
Tissue
thyroid gland
Condition
thyroid gland carcinoma
Modality
RNA
Observations
2,270
Tier
silver
Chemistry
Visium v1
Resolution
1,976 × 2,000 px
mpp
3.052 µm/px
Size
20 MB
Sample ID
GSM7980864
License
unknown
Published
Feb 16, 2025

Cite this dataset

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

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