Visium
Human skin of body
GSM9483978
bronze Interactive viewer H&E cutaneous leishmaniasis Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9483978_P4_NL_hires_image': DataArray[cyx] (3, 2000, 1984)
│ └── 'GSM9483978_P4_NL_lowres_image': DataArray[cyx] (3, 600, 595)
├── Shapes
│ └── 'GSM9483978_P4_NL': GeoDataFrame shape: (361, 2) (2D shapes)
└── Tables
└── 'table': AnnData (361, 17943)
with coordinate systems:
▸ 'GSM9483978_P4_NL', with elements:
GSM9483978_P4_NL_hires_image (Images), GSM9483978_P4_NL_lowres_image (Images), GSM9483978_P4_NL (Shapes)
▸ 'GSM9483978_P4_NL_downscaled_hires', with elements:
GSM9483978_P4_NL_hires_image (Images), GSM9483978_P4_NL (Shapes)
▸ 'GSM9483978_P4_NL_downscaled_lowres', with elements:
GSM9483978_P4_NL_lowres_image (Images), GSM9483978_P4_NL (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("LkAcgScvRxH8HeIN0000")
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("LkAcgScvRxH8HeIN") # 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 LkAcgScvRxH8HeIN0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/LkAcgScvRxH8HeIN
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid LkAcgScvRxH8HeINLicense: NCBI GEO policy
Part of collection
Spatial mapping of Ethiopian cutaneous leishmaniasis lesions reveals patient-defined immune signatures→ 10 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- skin of body
- Condition
- cutaneous leishmaniasis
- Modality
- RNA
- Observations (spots)
- 361
- Tier
- bronze
- Chemistry
- Visium v1
- Resolution
- 1,984 × 2,000 px
- mpp
- 3.538 µm/px
- Size
- 5.2 MB
- Sample ID
- GSM9483978
- License
- NCBI GEO policy
- Published
- Aug 12, 2026
Cite this dataset
doi.org/10.3389/fimmu.2026.1870524 ↗ BibTeX
@article{Dey_2026,
title = {Spatial mapping of Ethiopian cutaneous leishmaniasis lesions reveals distinct tissue level immune programs},
volume = {17},
ISSN = {1664-3224},
url = {http://dx.doi.org/10.3389/fimmu.2026.1870524},
DOI = {10.3389/fimmu.2026.1870524},
journal = {Frontiers in Immunology},
publisher = {Frontiers Media SA},
author = {Dey, Nidhi S. and Pham, Thao-Thy and Dey, Shoumit and Kassa, Mekibib and Mekonnen, Tigist and Fikre, Helina and Monsieurs, Pieter and Consortium, Spatial CL and Pareyn, Myrthe and van Griensven, Johan and Domagalska, Malgorzata and Dujardin, Jean-Claude and Asres, Mezgebu Silamsaw and Woldetensay, Mikias and Kaye, Paul M. and Adriaensen, Wim},
year = {2026},
month = July
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB