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Imaging Mass Cytometry

Human breast

idr0076:MB0212_1_383

bronze breast cancer ✓ Verified publication
Imaging Mass Cytometry
print(sdata)
SpatialData object
├── Images
│     └── 'img_MB0212_1_383_image': DataTree[cyx] (50, 152, 213), (50, 76, 106), (50, 38, 53), (50, 19, 26), (50, 9, 13)
├── Labels
│     └── 'img_MB0212_1_383_cells_labels': DataTree[yx] (152, 213), (76, 106), (38, 53), (19, 26), (9, 13)
├── Shapes
│     ├── 'cell_boundaries': GeoDataFrame shape: (36, 2) (2D shapes)
│     └── 'cell_boundaries_for_vitessce': GeoDataFrame shape: (36, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (36, 50)
with coordinate systems:
    ▸ 'global', with elements:
        img_MB0212_1_383_image (Images), img_MB0212_1_383_cells_labels (Labels), cell_boundaries (Shapes), cell_boundaries_for_vitessce (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("852ufO05CtqgWL9S0000")
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("852ufO05CtqgWL9S")   # 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 852ufO05CtqgWL9S0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/852ufO05CtqgWL9S

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 852ufO05CtqgWL9S

License: CC BY 4.0

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Metadata

Technology
Imaging Mass Cytometry
Organism
human
Tissue
breast
Condition
breast cancer
Modality
protein
Observations (cells)
36
Tier
bronze
Chemistry
IMC
Staining
Antibodies
Size
2.1 MB
Sample ID
idr0076:MB0212_1_383
License
CC BY 4.0
Published
Sep 29, 2020

Cite this dataset

doi.org/10.1038/s43018-020-0026-6 ↗
BibTeX
@article{idr:idr0076,
  doi = {10.1038/s43018-020-0026-6},
  title = {idr0076:MB0496_1_380},
  year = {2020}
}

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