Vizgen MERSCOPE
Human skin of body
S-BIAD2376:202403151059_D151--7-12--03152024_VMSC02301:region_3
silver Interactive viewer ✓ Verified publication
print(sdata)
SpatialData object
├── Points
│ └── 'merscope_region_0_transcripts': DataFrame with shape: (439796, 9) (3D points)
├── Shapes
│ ├── 'merscope_region_0_polygons': GeoDataFrame shape: (9326, 9) (2D shapes)
│ └── 'merscope_region_0_polygons_for_vitessce': GeoDataFrame shape: (9326, 2) (2D shapes)
└── Tables
└── 'table': AnnData (9326, 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("xDMiQGMcsWcfgG1B0000")
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("xDMiQGMcsWcfgG1B") # 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 xDMiQGMcsWcfgG1B0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/xDMiQGMcsWcfgG1B
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid xDMiQGMcsWcfgG1BLicense: CC BY 4.0
Metadata
- Technology
- Vizgen MERSCOPE
- Organism
- human
- Tissue
- skin of body
- Modality
- RNA
- Observations (cells)
- 9,326
- Transcripts
- 439,796
- Tier
- silver
- Size
- 13.8 MB
- Sample ID
- S-BIAD2376:202403151059_D151--7-12--03152024_VMSC02301:region_3
- 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