Vizgen MERSCOPE
Human skin of body
S-BIAD2376:202403211122_D083--1-6-032124_VMSC02301:region_0
silver Interactive viewer ✓ Verified publication
print(sdata)
SpatialData object
├── Points
│ └── 'merscope_region_0_transcripts': DataFrame with shape: (153447, 9) (3D points)
├── Shapes
│ ├── 'merscope_region_0_polygons': GeoDataFrame shape: (8515, 9) (2D shapes)
│ └── 'merscope_region_0_polygons_for_vitessce': GeoDataFrame shape: (8515, 2) (2D shapes)
└── Tables
└── 'table': AnnData (8515, 495)
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("JlT4p4dlKw4hBwTF0000")
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("JlT4p4dlKw4hBwTF") # 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 JlT4p4dlKw4hBwTF0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/JlT4p4dlKw4hBwTF
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid JlT4p4dlKw4hBwTFLicense: CC BY 4.0
Metadata
- Technology
- Vizgen MERSCOPE
- Organism
- human
- Tissue
- skin of body
- Modality
- RNA
- Observations (cells)
- 8,515
- Transcripts
- 153,447
- Tier
- silver
- Size
- 6.9 MB
- Sample ID
- S-BIAD2376:202403211122_D083--1-6-032124_VMSC02301:region_0
- 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