Imaging Mass Cytometry
Human kidney
S-BIAD3694:discovery:Batch3:L107:kidney
bronze ✓ Verified publication
print(sdata)
SpatialData object
├── Images
│ └── 'img_Batch3_007_image': DataTree[cyx] (35, 700, 1500), (35, 350, 750), (35, 175, 375), (35, 87, 187), (35, 43, 93)
├── Labels
│ └── 'img_Batch3_007_cells_labels': DataTree[yx] (700, 1500), (350, 750), (175, 375), (87, 187), (43, 93)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (4707, 2) (2D shapes)
│ └── 'cell_boundaries_for_vitessce': GeoDataFrame shape: (4707, 2) (2D shapes)
└── Tables
└── 'table': AnnData (4707, 35)
with coordinate systems:
▸ 'global', with elements:
img_Batch3_007_image (Images), img_Batch3_007_cells_labels (Labels), cell_boundaries (Shapes), cell_boundaries_for_vitessce (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("rlkQE0ns6KMTHVlV0000")
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("rlkQE0ns6KMTHVlV") # 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 rlkQE0ns6KMTHVlV0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/rlkQE0ns6KMTHVlV
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid rlkQE0ns6KMTHVlVLicense: CC0 1.0
Metadata
- Technology
- Imaging Mass Cytometry
- Organism
- human
- Tissue
- kidney
- Modality
- protein
- Observations
- 4,707
- Tier
- bronze
- Chemistry
- IMC
- Staining
- Antibodies
- Size
- 41.0 MB
- Sample ID
- S-BIAD3694:discovery:Batch3:L107:kidney
- License
- CC0 1.0
- Published
- Aug 18, 2026
Cite this dataset
No linked publication found — please cite the data source: BioImage Archive ↗.
Source: BioImage Archive ↗ · License: CC0 1.0 ↗ · Reprocessed to SpatialData by SpatialData-DB