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MIBI-TOF

Mouse liver

S-BIAD2557:CSL082:slide1-E2

bronze ✓ Verified publication
MIBI-TOF
print(sdata)
SpatialData object
├── Images
│     ├── 'pCSL005_CSL082_Liver_MIBI_slide1-E2_0_1_image': DataTree[cyx] (30, 1024, 1024), (30, 512, 512), (30, 256, 256), (30, 128, 128), (30, 64, 64)
│     └── 'pCSL005_CSL082_Liver_MIBI_slide1-E2_0_2_image': DataTree[cyx] (30, 1024, 1024), (30, 512, 512), (30, 256, 256), (30, 128, 128), (30, 64, 64)
├── Labels
│     ├── 'pCSL005_CSL082_Liver_MIBI_slide1-E2_0_1_whole_cell_labels': DataTree[yx] (1024, 1024), (512, 512), (256, 256), (128, 128), (64, 64)
│     └── 'pCSL005_CSL082_Liver_MIBI_slide1-E2_0_2_whole_cell_labels': DataTree[yx] (1024, 1024), (512, 512), (256, 256), (128, 128), (64, 64)
├── Shapes
│     ├── 'pCSL005_CSL082_Liver_MIBI_slide1-E2_0_1_cell_boundaries': GeoDataFrame shape: (669, 2) (2D shapes)
│     └── 'pCSL005_CSL082_Liver_MIBI_slide1-E2_0_2_cell_boundaries': GeoDataFrame shape: (610, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (1279, 30)
with coordinate systems:
    ▸ 'global', with elements:
        pCSL005_CSL082_Liver_MIBI_slide1-E2_0_1_image (Images), pCSL005_CSL082_Liver_MIBI_slide1-E2_0_2_image (Images), pCSL005_CSL082_Liver_MIBI_slide1-E2_0_1_whole_cell_labels (Labels), pCSL005_CSL082_Liver_MIBI_slide1-E2_0_2_whole_cell_labels (Labels), pCSL005_CSL082_Liver_MIBI_slide1-E2_0_1_cell_boundaries (Shapes), pCSL005_CSL082_Liver_MIBI_slide1-E2_0_2_cell_boundaries (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("hKaRJgHiY8Vc4GUB0000")
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("hKaRJgHiY8Vc4GUB")   # 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 hKaRJgHiY8Vc4GUB0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/hKaRJgHiY8Vc4GUB

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid hKaRJgHiY8Vc4GUB

License: CC BY 4.0

View on Lamin ↗ Flag a data issue
Part of collection
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25 datasets · publication

Metadata

Technology
MIBI-TOF
Organism
mouse
Tissue
liver
Modality
protein
Observations (cells)
1,279
Tier
bronze
Chemistry
MIBI
Staining
Antibodies
Size
316 MB
Sample ID
S-BIAD2557:CSL082:slide1-E2
License
CC BY 4.0
Published
Jun 30, 2026

Cite this dataset

doi.org/10.64898/2026.03.24.711280 ↗
BibTeX
@article{bia:S-BIAD2557,
  doi = {10.64898/2026.03.24.711280},
  title = {S-BIAD2557:CSL021:slide1-D1},
  year = {2026}
}

Source: BioImage Archive ↗ · License: CC BY 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB