Visium
Mouse plantaris
GSM8919247
bronze Interactive viewer H&E Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM8919247_STExp2_D1_7dOVL_Plant_Young_hires_image': DataArray[cyx] (3, 2000, 1983)
│ └── 'GSM8919247_STExp2_D1_7dOVL_Plant_Young_lowres_image': DataArray[cyx] (3, 600, 595)
├── Shapes
│ └── 'GSM8919247_STExp2_D1_7dOVL_Plant_Young': GeoDataFrame shape: (1169, 2) (2D shapes)
└── Tables
└── 'table': AnnData (1169, 32285)
with coordinate systems:
▸ 'GSM8919247_STExp2_D1_7dOVL_Plant_Young', with elements:
GSM8919247_STExp2_D1_7dOVL_Plant_Young_hires_image (Images), GSM8919247_STExp2_D1_7dOVL_Plant_Young_lowres_image (Images), GSM8919247_STExp2_D1_7dOVL_Plant_Young (Shapes)
▸ 'GSM8919247_STExp2_D1_7dOVL_Plant_Young_downscaled_hires', with elements:
GSM8919247_STExp2_D1_7dOVL_Plant_Young_hires_image (Images), GSM8919247_STExp2_D1_7dOVL_Plant_Young (Shapes)
▸ 'GSM8919247_STExp2_D1_7dOVL_Plant_Young_downscaled_lowres', with elements:
GSM8919247_STExp2_D1_7dOVL_Plant_Young_lowres_image (Images), GSM8919247_STExp2_D1_7dOVL_Plant_Young (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("OFiRGkjMoZWnfb7s0000")
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("OFiRGkjMoZWnfb7s") # 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 OFiRGkjMoZWnfb7s0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/OFiRGkjMoZWnfb7s
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid OFiRGkjMoZWnfb7sLicense: NCBI GEO policy
Part of collection
A skeletal muscle atlas shows neuromuscular junction adaptations to growth and atrophy→ 6 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- plantaris
- Modality
- RNA
- Observations (spots)
- 1,169
- Tier
- bronze
- Chemistry
- Visium v1
- Magnification
- other
- Resolution
- 1,983 × 2,000 px
- mpp
- 3.504 µm/px
- Size
- 19.4 MB
- Sample ID
- GSM8919247
- License
- NCBI GEO policy
- Published
- Apr 23, 2026
Cite this dataset
doi.org/10.1016/j.devcel.2026.03.010 ↗ BibTeX
@article{Campanario_2026,
title = {A skeletal muscle atlas shows neuromuscular junction adaptations to growth and atrophy},
volume = {61},
ISSN = {1534-5807},
url = {http://dx.doi.org/10.1016/j.devcel.2026.03.010},
DOI = {10.1016/j.devcel.2026.03.010},
number = {5},
journal = {Developmental Cell},
publisher = {Elsevier BV},
author = {Campanario, Silvia and Grima-Terrén, Mercedes and Rommelfanger, Megan and Dell’ Orso, Stefania and Feng, Xuesong and Cisneros, Andrés and Ramírez-Pardo, Ignacio and Calls-Cobos, Aina and Yang, Benjamin A. and Ko, Kyung Dae and García-Domínguez, Esther and Pena-Couso, Laura and Chou, Grace and Zheng, Yuewen and Hah, Nasun and Randazzo, Davide and Pérez-Garcia, Alberto and Markowitz, Tovah E. and Milisenda, Jose and Pinal-Fernandez, Iago and Mammen, Andrew and Gómez-Cabrera, Mari Carmen and Serrano, Antonio L. and Perdiguero, Eusebio and Sartorelli, Vittorio and Isern, Joan and Muñoz-Cánoves, Pura},
year = {2026},
month = May,
pages = {1028–1043.e9}
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB