Vizgen MERSCOPE
Mouse liver
GSM9372789
silver Interactive viewer No linked publication
print(sdata)
SpatialData object
├── Points
│ └── 'merscope_region_0_transcripts': DataFrame with shape: (36675785, 9) (3D points)
├── Shapes
│ ├── 'merscope_region_0_polygons': GeoDataFrame shape: (73904, 9) (2D shapes)
│ └── 'merscope_region_0_polygons_for_vitessce': GeoDataFrame shape: (73904, 2) (2D shapes)
└── Tables
└── 'table': AnnData (73904, 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("74yLIu2o9VgPJceU") # 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/74yLIu2o9VgPJceU
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 74yLIu2o9VgPJceU Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["74yLIu2o9VgPJceU0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and open Part of collection
Activated Interferon Signaling Suppresses Age-Dependent Liver Cancer [MERFISH]→ 10 datasets · time course
Metadata
- Technology
- Vizgen MERSCOPE
- Organism
- mouse
- Tissue
- liver
- Modality
- RNA
- Observations
- 73,904
- Transcripts
- 36,675,785
- Tier
- silver
- Size
- 714 MB
- Sample ID
- GSM9372789
- 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