SPT / 011 · Spatial biology

Spatial Transcriptomics Atlas

A production-oriented research framework for spatial neighbourhoods and cell–cell communication across Visium, Xenium and MERFISH data.

SCIENTIFIC PURPOSE

Connects spatial coordinates, expression and tissue context for exploratory microenvironment analysis.

Who it helps

  • Spatial biology teams
  • Cancer microenvironment researchers
  • Translational laboratories

Supported inputs

  • Supported spatial-omics dataset
  • Tissue coordinates
  • Cell or spot annotations

Useful outputs

  • Spatial neighbourhood maps
  • Ligand–receptor exploration
  • WebGL overlays

PROJECT INTELLIGENCE

A structured view of
scope and evidence.

These figures describe the documented public surface—not biological performance, clinical validity or benchmark superiority.

Supported input types3
Defined output types3
Workflow stages5
Methods represented3
Published interface views12
Documented limitations3
SPT / 011Research project
SquidpySpatial graphsLigand–receptor analysis

DATA CONTRACT

What enters, what happens,
what leaves.

01 / INPUT

Supported spatial-omics dataset

Tissue coordinates

Cell or spot annotations

02 / ANALYSIS

01Load spatial dataset

02Perform quality review

03Explore neighbourhoods

04Evaluate communication hypotheses

05Export spatial figures

03 / OUTPUT

Spatial neighbourhood maps

Ligand–receptor exploration

WebGL overlays

EVIDENCE & INTERPRETATION MATRIX

How to use the project responsibly.

DimensionPublic evidenceInterpretation boundary
Interface12 documented viewsScreenshots demonstrate interaction patterns, not scientific validation.
MethodsSquidpy · Spatial graphs · Ligand–receptor analysisMethod presence does not establish suitability for every dataset.
ReproducibilityDefined inputs, stages and outputsVersions, parameters and data provenance must accompany a real analysis.
Scientific useResearch exploration and communicationNo medical, diagnostic or treatment conclusion is produced.

BEFORE INTERPRETATION

01

Confirm file format and reference conventions

02

Record tool, database and dataset versions

03

Inspect missing values, outliers and sample labels

04

Review assumptions behind each selected method

05

Keep exported figures linked to their source data

06

Request domain-expert review for consequential claims

TYPICAL RESEARCH FLOW

  1. 01

    Load spatial dataset

  2. 02

    Perform quality review

  3. 03

    Explore neighbourhoods

  4. 04

    Evaluate communication hypotheses

  5. 05

    Export spatial figures

METHODS REPRESENTED

SquidpySpatial graphsLigand–receptor analysis

KNOWN LIMITATIONS

  • Research stage
  • Platform-specific preprocessing remains necessary
  • Communication scores are hypothesis-generating

USEFUL QUESTIONS

Before using the output.

Which platforms are in scope?

The public project description covers 10x Visium, Xenium and MERFISH-oriented workflows.