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Visium

Human intestine

MISC63

silver Interactive viewer H&E colon adenocarcinoma ✓ Verified publication
Human intestine preview
print(sdata)
SpatialData object
├── Images
│     └── 'MISC63_full_image': DataTree[cyx] (3, 34035, 37827), (3, 17017, 18913), (3, 8508, 9456), (3, 4254, 4728)
├── Shapes
│     └── 'MISC63_spots': GeoDataFrame shape: (3467, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (3467, 19346)
with coordinate systems:
    ▸ 'global', with elements:
        MISC63_full_image (Images), MISC63_spots (Shapes)
Load in Python
import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("MVQ3i8hmSpFhQI8D")   # 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
Load from the CLI
# one-shot: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/MVQ3i8hmSpFhQI8D

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid MVQ3i8hmSpFhQI8D
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["MVQ3i8hmSpFhQI8D0000"])[0]
ds.elements()                 # inspect without downloading
sdata = ds.load(lazy=False)   # copy to the local cache and open

Docs: finding & loading data →

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Part of collection
COLON MAP: Colon Molecular Atlas Project→
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Metadata

Technology
Visium
Organism
human
Tissue
intestine
Condition
colon adenocarcinoma
Modality
RNA
Observations
3,467
Tier
silver
Chemistry
Visium v1
Magnification
40x
Resolution
37,827 × 34,035 px
mpp
0.276 µm/px
Size
3.1 GB
Sample ID
MISC63
License
CC BY-NC-SA 4.0 NonCommercial
Published
Dec 7, 2023

Cite this dataset

doi.org/10.1016/j.cell.2023.11.006 ↗
BibTeX
@article{Heiser_2023,
  title = {Molecular cartography uncovers evolutionary and microenvironmental dynamics in sporadic colorectal tumors},
  volume = {186},
  ISSN = {0092-8674},
  url = {http://dx.doi.org/10.1016/j.cell.2023.11.006},
  DOI = {10.1016/j.cell.2023.11.006},
  number = {25},
  journal = {Cell},
  publisher = {Elsevier BV},
  author = {Heiser, Cody N. and Simmons, Alan J. and Revetta, Frank and McKinley, Eliot T. and Ramirez-Solano, Marisol A. and Wang, Jiawei and Kaur, Harsimran and Shao, Justin and Ayers, Gregory D. and Wang, Yu and Glass, Sarah E. and Tasneem, Naila and Chen, Zhengyi and Qin, Yan and Kim, William and Rolong, Andrea and Chen, Bob and Vega, Paige N. and Drewes, Julia L. and Markham, Nicholas O. and Saleh, Nabil and Nikolos, Fotis and Vandekar, Simon and Jones, Angela L. and Washington, M. Kay and Roland, Joseph T. and Chan, Keith S. and Schürpf, Thomas and Sears, Cynthia L. and Liu, Qi and Shrubsole, Martha J. and Coffey, Robert J. and Lau, Ken S.},
  year = {2023},
  month = Dec,
  pages = {5620–5637.e16}
}

Source: cell.com ↗ · License: CC BY-NC-SA 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB