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Human breast

invasive-ductal-carcinoma-stained-with-fluorescent-cd-3-antibody-1-standard-1-2-0

silver Interactive viewer H&E Invasive Ductal Carcinoma No linked publication
Human breast preview
print(sdata)
SpatialData object
├── Images
│     ├── 'V1_Human_Invasive_Ductal_Carcinoma_full_image': DataTree[cyx] (4, 24240, 24240), (4, 12120, 12120), (4, 6060, 6060), (4, 3030, 3030), (4, 1515, 1515)
│     ├── 'V1_Human_Invasive_Ductal_Carcinoma_hires_image': DataArray[cyx] (3, 2000, 2000)
│     └── 'V1_Human_Invasive_Ductal_Carcinoma_lowres_image': DataArray[cyx] (3, 600, 600)
├── Shapes
│     └── 'V1_Human_Invasive_Ductal_Carcinoma': GeoDataFrame shape: (4727, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (4727, 36601)
with coordinate systems:
    ▸ 'V1_Human_Invasive_Ductal_Carcinoma', with elements:
        V1_Human_Invasive_Ductal_Carcinoma_full_image (Images), V1_Human_Invasive_Ductal_Carcinoma_hires_image (Images), V1_Human_Invasive_Ductal_Carcinoma_lowres_image (Images), V1_Human_Invasive_Ductal_Carcinoma (Shapes)
    ▸ 'V1_Human_Invasive_Ductal_Carcinoma_downscaled_hires', with elements:
        V1_Human_Invasive_Ductal_Carcinoma_hires_image (Images), V1_Human_Invasive_Ductal_Carcinoma (Shapes)
    ▸ 'V1_Human_Invasive_Ductal_Carcinoma_downscaled_lowres', with elements:
        V1_Human_Invasive_Ductal_Carcinoma_lowres_image (Images), V1_Human_Invasive_Ductal_Carcinoma (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("g5Hv4fV8pUwbK8aF0000")
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("g5Hv4fV8pUwbK8aF")   # 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 g5Hv4fV8pUwbK8aF0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/g5Hv4fV8pUwbK8aF

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid g5Hv4fV8pUwbK8aF

License: CC BY 4.0

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Metadata

Technology
Visium
Organism
human
Tissue
breast
Condition
Invasive Ductal Carcinoma
Modality
RNA
Observations (spots)
4,727
Tier
silver
Chemistry
Visium v1
Resolution
2,000 × 2,000 px
mpp
3.760 µm/px
Size
4.6 GB
Sample ID
invasive-ductal-carcinoma-stained-with-fluorescent-cd-3-antibody-1-standard-1-2-0
License
CC BY 4.0
Published
May 11, 2021

Cite this dataset

No linked publication found — please cite the data source: 10x Genomics ↗.

Source: 10x Genomics ↗ · License: CC BY 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB