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PhenoCycler

Human pancreas

7742474:reg001

bronze Interactive viewer No linked publication
Human pancreas preview
print(sdata)
SpatialData object
├── Images
│     └── 'reg001_image': DataTree[cyx] (12, 18440, 25816), (12, 9220, 12908), (12, 4610, 6454), (12, 2305, 3227), (12, 1152, 1613)
├── Shapes
│     ├── 'cell_boundaries': GeoDataFrame shape: (269257, 1) (2D shapes)
│     └── 'cell_boundaries_for_vitessce': GeoDataFrame shape: (269257, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (269257, 12)
with coordinate systems:
    ▸ 'global', with elements:
        reg001_image (Images), cell_boundaries (Shapes), cell_boundaries_for_vitessce (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("6qkrnCQLRUpXgNMx0000")
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("6qkrnCQLRUpXgNMx")   # 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 6qkrnCQLRUpXgNMx0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/6qkrnCQLRUpXgNMx

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 6qkrnCQLRUpXgNMx

License: CC BY 4.0

View on Lamin ↗ Open in Vitessce ↗ Flag a data issue
Part of collection
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Metadata

Technology
PhenoCycler
Organism
human
Tissue
pancreas
Modality
protein
Observations (cells)
269,257
Tier
bronze
Chemistry
CODEX Processor
Staining
IF
Size
8.2 GB
Sample ID
7742474:reg001
License
CC BY 4.0
Published
Mar 16, 2023

Cite this dataset

No linked publication found — please cite the data source: doi.org ↗.

Source: doi.org ↗ · License: CC BY 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB