Fig. 2: Nano-org’s similarity search approach.
From: Nano-org, a functional resource for single-molecule localisation microscopy data
a Two ROIs are divided into 30 nm2 bins to generate cumulative frequency histograms of localisations. A K-S test yields a dissimilarity value (λ) between the ROIs, with mean dissimilarity (\(\bar{{{{\rm{\lambda }}}}}\)) calculated across datasets for comparison. b Example 3 × 3 μm simulated data regions showing increasing dissimilarity as the number of clusters varies from 10 (30 ROIs per condition), while keeping the total localisations per ROI constant. c Real-time analysis on nano-org enables continuous comparison with public datasets, filterable by metadata. Ranked similarity lists are updated with new uploads.
