Visium
Human small intestine
GSM8795105
bronze Interactive viewer H&E Crohn disease Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM8795105_CD16_Inf_hires_image': DataArray[cyx] (3, 2000, 2000)
│ └── 'GSM8795105_CD16_Inf_lowres_image': DataArray[cyx] (3, 600, 600)
├── Shapes
│ └── 'GSM8795105_CD16_Inf': GeoDataFrame shape: (3481, 2) (2D shapes)
└── Tables
└── 'table': AnnData (3481, 18085)
with coordinate systems:
▸ 'GSM8795105_CD16_Inf', with elements:
GSM8795105_CD16_Inf_hires_image (Images), GSM8795105_CD16_Inf_lowres_image (Images), GSM8795105_CD16_Inf (Shapes)
▸ 'GSM8795105_CD16_Inf_downscaled_hires', with elements:
GSM8795105_CD16_Inf_hires_image (Images), GSM8795105_CD16_Inf (Shapes)
▸ 'GSM8795105_CD16_Inf_downscaled_lowres', with elements:
GSM8795105_CD16_Inf_lowres_image (Images), GSM8795105_CD16_Inf (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("h4xICkuRgWPgDVuW0000")
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("h4xICkuRgWPgDVuW") # 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 h4xICkuRgWPgDVuW0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/h4xICkuRgWPgDVuW
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid h4xICkuRgWPgDVuWLicense: NCBI GEO policy
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- small intestine
- Condition
- Crohn disease
- Modality
- RNA
- Observations (spots)
- 3,481
- Tier
- bronze
- Chemistry
- Visium v1
- Magnification
- other
- Resolution
- 2,000 × 2,000 px
- mpp
- 5.476 µm/px
- Size
- 55.9 MB
- Sample ID
- GSM8795105
- License
- NCBI GEO policy
- Published
- Jul 1, 2026
Cite this dataset
doi.org/10.1038/s12276-026-01763-7 ↗ BibTeX
@article{Lee_2026,
title = {Granzyme K CD8⁺ T cells with tissue-resident features promote intestinal inflammation in patients with Crohn’s disease},
volume = {58},
ISSN = {2092-6413},
url = {http://dx.doi.org/10.1038/s12276-026-01763-7},
DOI = {10.1038/s12276-026-01763-7},
number = {7},
journal = {Experimental & Molecular Medicine},
publisher = {Springer Science and Business Media LLC},
author = {Lee, Yoonho and Kim, Tae-Young and Kim, Yongjae and Baek, Jiwon and Park, Hwan and Yoon, Do Kyung and Hwang, Sung Wook and Lee, Jong Lyul and Park, Sang Hyoung and Kim, Jihun and Yang, Suk-Kyun and Han, Buhm and Kweon, Mi-Na and Song, Kyuyoung and Yoon, Yong Sik and Ye, Byong Duk and Lee, Ho-Su},
year = {2026},
month = July,
pages = {2280–2292}
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB