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Visium

Human breast

GSM7757972

bronze Interactive viewer H&E breast cancer Provisional
Human breast preview
print(sdata)
SpatialData object
├── Images
│     ├── 'GSM7757972_R1-S3_hires_image': DataArray[cyx] (3, 1966, 2000)
│     └── 'GSM7757972_R1-S3_lowres_image': DataArray[cyx] (3, 590, 600)
├── Shapes
│     └── 'GSM7757972_R1-S3': GeoDataFrame shape: (1505, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (1505, 17943)
with coordinate systems:
    ▸ 'GSM7757972_R1-S3', with elements:
        GSM7757972_R1-S3_hires_image (Images), GSM7757972_R1-S3_lowres_image (Images), GSM7757972_R1-S3 (Shapes)
    ▸ 'GSM7757972_R1-S3_downscaled_hires', with elements:
        GSM7757972_R1-S3_hires_image (Images), GSM7757972_R1-S3 (Shapes)
    ▸ 'GSM7757972_R1-S3_downscaled_lowres', with elements:
        GSM7757972_R1-S3_lowres_image (Images), GSM7757972_R1-S3 (Shapes)
Load in Python
import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("d8m251rgyAwSRhTN")   # 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
Load from the CLI
# one-shot: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/d8m251rgyAwSRhTN

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid d8m251rgyAwSRhTN
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["d8m251rgyAwSRhTN0000"])[0]
ds.elements()                 # inspect without downloading
sdata = ds.load(lazy=False)   # copy to the local cache and open

Docs: finding & loading data →

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Metadata

Technology
Visium
Organism
human
Tissue
breast
Condition
breast cancer
Modality
RNA
Observations
1,505
Tier
bronze
Chemistry
Visium v1
Resolution
2,000 × 1,966 px
mpp
3.401 µm/px
Size
26 MB
Sample ID
GSM7757972
License
unknown
Published
Sep 8, 2023

Cite this dataset

No linked publication found — please cite the data source: NCBI GEO ↗.

Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB