Visium HD
Human breast
visium-hd-cytassist-11mm-human-breast-cancer
silver Interactive viewer H&E breast cancer No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'Visium_HD_11mm_Human_Breast_Cancer_full_image': DataTree[cyx] (3, 41711, 45503), (3, 20855, 22751), (3, 10427, 11375), (3, 5213, 5687), (3, 2606, 2843)
│ ├── 'Visium_HD_11mm_Human_Breast_Cancer_hires_image': DataArray[cyx] (3, 5500, 6000)
│ └── 'Visium_HD_11mm_Human_Breast_Cancer_lowres_image': DataArray[cyx] (3, 550, 600)
├── Shapes
│ ├── 'Visium_HD_11mm_Human_Breast_Cancer_square_002um': GeoDataFrame shape: (23401527, 1) (2D shapes)
│ ├── 'Visium_HD_11mm_Human_Breast_Cancer_square_008um': GeoDataFrame shape: (1466755, 1) (2D shapes)
│ └── 'Visium_HD_11mm_Human_Breast_Cancer_square_016um': GeoDataFrame shape: (368184, 1) (2D shapes)
└── Tables
├── 'square_002um': AnnData (23401527, 18085)
├── 'square_008um': AnnData (1466755, 18085)
└── 'square_016um': AnnData (368184, 18085)
with coordinate systems:
▸ 'Visium_HD_11mm_Human_Breast_Cancer', with elements:
Visium_HD_11mm_Human_Breast_Cancer_full_image (Images), Visium_HD_11mm_Human_Breast_Cancer_hires_image (Images), Visium_HD_11mm_Human_Breast_Cancer_lowres_image (Images), Visium_HD_11mm_Human_Breast_Cancer_square_002um (Shapes), Visium_HD_11mm_Human_Breast_Cancer_square_008um (Shapes), Visium_HD_11mm_Human_Breast_Cancer_square_016um (Shapes)
▸ 'Visium_HD_11mm_Human_Breast_Cancer_downscaled_hires', with elements:
Visium_HD_11mm_Human_Breast_Cancer_hires_image (Images), Visium_HD_11mm_Human_Breast_Cancer_square_002um (Shapes), Visium_HD_11mm_Human_Breast_Cancer_square_008um (Shapes), Visium_HD_11mm_Human_Breast_Cancer_square_016um (Shapes)
▸ 'Visium_HD_11mm_Human_Breast_Cancer_downscaled_lowres', with elements:
Visium_HD_11mm_Human_Breast_Cancer_lowres_image (Images), Visium_HD_11mm_Human_Breast_Cancer_square_002um (Shapes), Visium_HD_11mm_Human_Breast_Cancer_square_008um (Shapes), Visium_HD_11mm_Human_Breast_Cancer_square_016um (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("0zang78WuefT49cL") # 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/0zang78WuefT49cL
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 0zang78WuefT49cL Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["0zang78WuefT49cL0001"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- Visium HD
- Organism
- human
- Tissue
- breast
- Condition
- breast cancer
- Modality
- RNA
- Observations
- 1,466,755
- Tier
- silver
- Chemistry
- Visium HD v1
- Magnification
- 40x
- Resolution
- 45,503 × 41,711 px
- mpp
- 0.274 µm/px
- Size
- 10 GB
- Sample ID
- visium-hd-cytassist-11mm-human-breast-cancer
- License
- CC BY 4.0
- Published
- Jul 14, 2026
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