Vizgen MERSCOPE
Human skin of body
S-BIAD2376:202405081011_D082--4-12--05082024_VMSC02301:region_4
silver Interactive viewer ✓ Verified publication
print(sdata)
SpatialData object
├── Points
│ └── 'merscope_region_0_transcripts': DataFrame with shape: (313711, 9) (3D points)
├── Shapes
│ ├── 'merscope_region_0_polygons': GeoDataFrame shape: (9657, 9) (2D shapes)
│ └── 'merscope_region_0_polygons_for_vitessce': GeoDataFrame shape: (9657, 2) (2D shapes)
└── Tables
└── 'table': AnnData (9657, 500)
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("E4CoypK4WyrKttwr0000")
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("E4CoypK4WyrKttwr") # 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 E4CoypK4WyrKttwr0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/E4CoypK4WyrKttwr
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid E4CoypK4WyrKttwrLicense: CC BY 4.0
Metadata
- Technology
- Vizgen MERSCOPE
- Organism
- human
- Tissue
- skin of body
- Modality
- RNA
- Observations (cells)
- 9,657
- Transcripts
- 313,711
- Tier
- silver
- Size
- 10.5 MB
- Sample ID
- S-BIAD2376:202405081011_D082--4-12--05082024_VMSC02301:region_4
- License
- CC BY 4.0
- Published
- Jan 7, 2026
Cite this dataset
doi.org/10.1038/s41588-026-02552-8 ↗ BibTeX
@article{bia:S-BIAD2376,
doi = {10.1038/s41588-026-02552-8},
title = {S-BIAD2376:202402221100_D151-1-6--fullrun--rerun--02222024_VMSC02301:region_1},
year = {2026}
}Source: BioImage Archive ↗ · License: CC BY 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB