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Visium

Mouse brain

GSM8341551

bronze Interactive viewer H&E Alzheimer disease Provisional
Mouse brain preview
print(sdata)
SpatialData object
├── Images
│     ├── 'GSM8341551_sample1_hires_image': DataArray[cyx] (3, 1967, 2000)
│     └── 'GSM8341551_sample1_lowres_image': DataArray[cyx] (3, 590, 600)
├── Shapes
│     └── 'GSM8341551_sample1': GeoDataFrame shape: (3047, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (3047, 31053)
with coordinate systems:
    ▸ 'GSM8341551_sample1', with elements:
        GSM8341551_sample1_hires_image (Images), GSM8341551_sample1_lowres_image (Images), GSM8341551_sample1 (Shapes)
    ▸ 'GSM8341551_sample1_downscaled_hires', with elements:
        GSM8341551_sample1_hires_image (Images), GSM8341551_sample1 (Shapes)
    ▸ 'GSM8341551_sample1_downscaled_lowres', with elements:
        GSM8341551_sample1_lowres_image (Images), GSM8341551_sample1 (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("qaSE9v0NimNqKXcm0000")
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("qaSE9v0NimNqKXcm")   # 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 qaSE9v0NimNqKXcm0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/qaSE9v0NimNqKXcm

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid qaSE9v0NimNqKXcm

License: NCBI GEO policy

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Metadata

Technology
Visium
Organism
mouse
Tissue
brain
Condition
Alzheimer disease
Modality
RNA
Observations (spots)
3,047
Tier
bronze
Chemistry
Visium v1
Magnification
other
Resolution
2,000 × 1,967 px
mpp
3.684 µm/px
Size
53.3 MB
Sample ID
GSM8341551
License
NCBI GEO policy
Published
Dec 15, 2024

Cite this dataset

doi.org/10.1523/eneuro.0260-24.2024 ↗
BibTeX
@article{Nagata_2024,
  title = {Tau Accumulation Induces Microglial State Alterations in Alzheimer’s Disease Model Mice},
  volume = {11},
  ISSN = {2373-2822},
  url = {http://dx.doi.org/10.1523/eneuro.0260-24.2024},
  DOI = {10.1523/eneuro.0260-24.2024},
  number = {12},
  journal = {eneuro},
  publisher = {Society for Neuroscience},
  author = {Nagata, Kenichi and Hashimoto, Shoko and Joho, Daisuke and Fujioka, Ryo and Matsuba, Yukio and Sekiguchi, Misaki and Mihira, Naomi and Motooka, Daisuke and Liu, Yu-Chen and Okuzaki, Daisuke and Kikuchi, Masataka and Murayama, Shigeo and Saido, Takaomi C. and Kiyama, Hiroshi and Sasaguri, Hiroki},
  year = {2024},
  month = Nov,
  pages = {ENEURO.0260–24.2024}
}

Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB