Visium
Macaque retina
GSM9151612
bronze Interactive viewer H&E Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9151612_DR2_hires_image': DataArray[cyx] (3, 2000, 1982)
│ └── 'GSM9151612_DR2_lowres_image': DataArray[cyx] (3, 600, 595)
├── Shapes
│ └── 'GSM9151612_DR2': GeoDataFrame shape: (4818, 2) (2D shapes)
└── Tables
└── 'table': AnnData (4818, 26533)
with coordinate systems:
▸ 'GSM9151612_DR2', with elements:
GSM9151612_DR2_hires_image (Images), GSM9151612_DR2_lowres_image (Images), GSM9151612_DR2 (Shapes)
▸ 'GSM9151612_DR2_downscaled_hires', with elements:
GSM9151612_DR2_hires_image (Images), GSM9151612_DR2 (Shapes)
▸ 'GSM9151612_DR2_downscaled_lowres', with elements:
GSM9151612_DR2_lowres_image (Images), GSM9151612_DR2 (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("GdX1LuYjtS3oQfve0000")
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("GdX1LuYjtS3oQfve") # 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 GdX1LuYjtS3oQfve0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/GdX1LuYjtS3oQfve
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid GdX1LuYjtS3oQfveLicense: NCBI GEO policy
Part of collection
Single-cell and spatial transcriptomic analyses of gene therapy-associated retinal inflammation in non-human primates→ 4 datasets · time course
Metadata
- Technology
- Visium
- Organism
- macaque
- Tissue
- retina
- Modality
- RNA
- Observations (spots)
- 4,818
- Tier
- bronze
- Chemistry
- Visium v1
- Magnification
- other
- Resolution
- 1,982 × 2,000 px
- mpp
- 3.577 µm/px
- Size
- 7.3 MB
- Sample ID
- GSM9151612
- License
- NCBI GEO policy
- Published
- Mar 30, 2026
Cite this dataset
doi.org/10.1016/j.omta.2026.201726 ↗ BibTeX
@article{Sourd_2026,
title = {Single-cell and spatial transcriptomic analyses of gene therapy-associated retinal inflammation in non-human primates},
volume = {34},
ISSN = {3117-387X},
url = {http://dx.doi.org/10.1016/j.omta.2026.201726},
DOI = {10.1016/j.omta.2026.201726},
number = {2},
journal = {Molecular Therapy Advances},
publisher = {Elsevier BV},
author = {Sourd, Célia and Quinn, Joel and John, Molly C. and Martinez-Fernandez de la Camara, Cristina and Wickramasinghe, Lakshanie C. and Attar, Moustafa and Shamsnajafabadi, Hoda and Salman, Ahmed and Cowley, Sally A. and Dendrou, Calliope A. and MacLaren, Robert E. and Cehajic-Kapetanovic, Jasmina and Xue, Kanmin},
year = {2026},
month = June,
pages = {201726}
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB