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Vizgen MERSCOPE

Mouse liver

GSM9372790

silver Interactive viewer No linked publication
Mouse liver preview
print(sdata)
SpatialData object
├── Points
│     └── 'merscope_region_0_transcripts': DataFrame with shape: (34602746, 9) (3D points)
├── Shapes
│     ├── 'merscope_region_0_polygons': GeoDataFrame shape: (163186, 9) (2D shapes)
│     └── 'merscope_region_0_polygons_for_vitessce': GeoDataFrame shape: (163186, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (163186, 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("zeJY9d76sQTmICTS")   # 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/zeJY9d76sQTmICTS

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid zeJY9d76sQTmICTS
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["zeJY9d76sQTmICTS0000"])[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
163,186
Transcripts
34,602,746
Tier
silver
Size
797 MB
Sample ID
GSM9372790
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