Orthogonal Assay Validation for Spatial Multi-omics (2D)

Real spatial multi-omics measurements from one technology platform genuinely need orthogonal validation from a second, independent technology measuring a related-but-not-identical signal at the same tissue locations. This 2D simulator generates a synthetic tissue grid with a hidden true biological signal field, then independently measures it twice — once as "Platform A" (e.g. spatial transcriptomics) and once as "Platform B" (e.g. an orthogonal protein assay) — each with its own adjustable noise and systematic bias. The engine never checks either platform against the hidden truth; instead it computes the real spatial Pearson correlation directly between the two actual noisy measurement fields, exactly as a published cross-platform validation study does, and plots every tissue position as a point on a live A-vs-B scatter plot. Raise either platform's noise and watch the measured cross-platform correlation fall — the same signature scientists look for when an orthogonal assay disagrees with a spatial-omics call.