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Vizgen MERSCOPE

Mouse liver

GSM9372795

silver Interactive viewer No linked publication
Mouse liver preview
print(sdata)
SpatialData object
├── Points
│     └── 'merscope_region_0_transcripts': DataFrame with shape: (10503346, 9) (3D points)
├── Shapes
│     ├── 'merscope_region_0_polygons': GeoDataFrame shape: (105825, 9) (2D shapes)
│     └── 'merscope_region_0_polygons_for_vitessce': GeoDataFrame shape: (105825, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (105825, 494)
with coordinate systems:
    ▸ 'global', with elements:
        merscope_region_0_transcripts (Points), merscope_region_0_polygons (Shapes), merscope_region_0_polygons_for_vitessce (Shapes)
Load in Python
import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("yWNtUL28gU5hG5K4")   # 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/yWNtUL28gU5hG5K4

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid yWNtUL28gU5hG5K4
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["yWNtUL28gU5hG5K40000"])[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
Vizgen MERSCOPE
Organism
mouse
Tissue
liver
Modality
RNA
Observations
105,825
Transcripts
10,503,346
Tier
silver
Size
298 MB
Sample ID
GSM9372795
License
NCBI GEO policy
Published
May 1, 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