PhenoCycler-Fusion
Human tonsil
S-BIAD2491:250902_Fresh_Slide4_Storageconditions_Scan1
silver Interactive viewer No linked publication
print(sdata)
SpatialData object
├── Images
│ └── '250902_Fresh_Slide4_Storageconditions_image': DataTree[cyx] (18, 10800, 17280), (18, 5400, 8640), (18, 2700, 4320), (18, 1350, 2160), (18, 675, 1080)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (289534, 1) (2D shapes)
│ └── 'cell_boundaries_for_vitessce': GeoDataFrame shape: (289534, 2) (2D shapes)
└── Tables
└── 'table': AnnData (289534, 18)
with coordinate systems:
▸ 'global', with elements:
250902_Fresh_Slide4_Storageconditions_image (Images), cell_boundaries (Shapes), cell_boundaries_for_vitessce (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("frZJqc459F4cdz20") # 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/frZJqc459F4cdz20
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid frZJqc459F4cdz20 Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["frZJqc459F4cdz200000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and open Metadata
- Technology
- PhenoCycler-Fusion
- Organism
- human
- Tissue
- tonsil
- Modality
- protein
- Observations
- 289,534
- Tier
- silver
- Chemistry
- PhenoCycler-Fusion 2
- Staining
- IF
- Size
- 3.5 GB
- Sample ID
- S-BIAD2491:250902_Fresh_Slide4_Storageconditions_Scan1
- License
- CC0 1.0
- Published
- Dec 23, 2025
Cite this dataset
No linked publication found — please cite the data source: ebi.ac.uk ↗.
Source: ebi.ac.uk ↗ · License: CC0 1.0 ↗ · Reprocessed to SpatialData by SpatialData-DB