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Vizgen MERSCOPE

Human heart left ventricle

GSM9427137

silver Interactive viewer endocardial fibroelastosis No linked publication
Human heart left ventricle preview
print(sdata)
SpatialData object
├── Points
│     └── 'merscope_region_0_transcripts': DataFrame with shape: (150031, 9) (3D points)
├── Shapes
│     ├── 'merscope_region_0_polygons': GeoDataFrame shape: (12270, 9) (2D shapes)
│     └── 'merscope_region_0_polygons_for_vitessce': GeoDataFrame shape: (12270, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (12270, 474)
with coordinate systems:
    ▸ 'global', with elements:
        merscope_region_0_transcripts (Points), merscope_region_0_polygons (Shapes), merscope_region_0_polygons_for_vitessce (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("3RP0z36PP4bWt1ry0000")
ds.elements()          # inspect without downloading
sdata = ds.to_sdata()  # cached locally, reused
print(sdata)
Python · lamindb

Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.

import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("3RP0z36PP4bWt1ry")   # stem uid: Lamin resolves it to the 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
Shell
# sddb client: download the .zarr into data/
sddb-cli download 3RP0z36PP4bWt1ry0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/3RP0z36PP4bWt1ry

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 3RP0z36PP4bWt1ry

License: NCBI GEO policy

View on Lamin ↗ Open in Vitessce ↗ Flag a data issue

Metadata

Technology
Vizgen MERSCOPE
Organism
human
Tissue
heart left ventricle
Condition
endocardial fibroelastosis
Modality
RNA
Observations (cells)
12,270
Transcripts
150,031
Tier
silver
Size
11.5 MB
Sample ID
GSM9427137
License
NCBI GEO policy
Published
Aug 29, 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