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Human breast

gene-and-protein-expression-library-of-human-breast-cancer-cytassist-ffpe-2-standard

silver Interactive viewer H&E breast cancer No linked publication
Human breast preview
print(sdata)
SpatialData object
├── Images
│     ├── 'CytAssist_FFPE_Protein_Expression_Human_Breast_Cancer_full_image': DataTree[cyx] (3, 22633, 23127), (3, 11316, 11563), (3, 5658, 5781), (3, 2829, 2890), (3, 1414, 1445)
│     ├── 'CytAssist_FFPE_Protein_Expression_Human_Breast_Cancer_hires_image': DataArray[cyx] (3, 1957, 2000)
│     └── 'CytAssist_FFPE_Protein_Expression_Human_Breast_Cancer_lowres_image': DataArray[cyx] (3, 587, 600)
├── Shapes
│     └── 'CytAssist_FFPE_Protein_Expression_Human_Breast_Cancer': GeoDataFrame shape: (4169, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (4169, 18085)
with coordinate systems:
    ▸ 'CytAssist_FFPE_Protein_Expression_Human_Breast_Cancer', with elements:
        CytAssist_FFPE_Protein_Expression_Human_Breast_Cancer_full_image (Images), CytAssist_FFPE_Protein_Expression_Human_Breast_Cancer_hires_image (Images), CytAssist_FFPE_Protein_Expression_Human_Breast_Cancer_lowres_image (Images), CytAssist_FFPE_Protein_Expression_Human_Breast_Cancer (Shapes)
    ▸ 'CytAssist_FFPE_Protein_Expression_Human_Breast_Cancer_downscaled_hires', with elements:
        CytAssist_FFPE_Protein_Expression_Human_Breast_Cancer_hires_image (Images), CytAssist_FFPE_Protein_Expression_Human_Breast_Cancer (Shapes)
    ▸ 'CytAssist_FFPE_Protein_Expression_Human_Breast_Cancer_downscaled_lowres', with elements:
        CytAssist_FFPE_Protein_Expression_Human_Breast_Cancer_lowres_image (Images), CytAssist_FFPE_Protein_Expression_Human_Breast_Cancer (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("HSlZBzuEHbTJOWs70000")
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("HSlZBzuEHbTJOWs7")   # 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 HSlZBzuEHbTJOWs70000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/HSlZBzuEHbTJOWs7

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid HSlZBzuEHbTJOWs7

License: CC BY 4.0

View on Lamin ↗ Open in Vitessce ↗ Flag a data issue

Metadata

Technology
Visium
Organism
human
Tissue
breast
Condition
breast cancer
Modality
RNA
Observations (spots)
4,169
Tier
silver
Chemistry
Visium CytAssist v2
Magnification
40x
Resolution
23,127 × 22,633 px
mpp
0.255 µm/px
Size
3.2 GB
Sample ID
gene-and-protein-expression-library-of-human-breast-cancer-cytassist-ffpe-2-standard
License
CC BY 4.0
Published
May 15, 2023

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