Detailed statistical results on the comparison of CD41 and CD62p clusters.
This figure shows the additional results regarding the statistical comparison for the two samples presented in Fig 2 (sample 1 has > 85 000 points and sample 2 has > 93 000 points). (a) shows the direct comparison of the full samples (all localisations) via a KS-/WX-test of the cluster densities (top) and curvatures (bottom). (b) shows the aggregated KS-/WX-test p-values of curvature calculated with t-norm-AND operator of the results represented in (a). (c) displays the values of the KS-/WX-test and their aggregation via t-norm-AND operator determined from the cluster curvature distributions received from the bootstrap resampling (comparable to Fig 2C). (d) shows the bootstrapping results for cluster density and curvature (log, and normal scale). Herein, 100 resamples (all including 8 000 points) were plotted. Using the bootstrap method allows us to gain multiple testings required for the second level analysis. (e) presents a part of the 2nd-level analysis and shows results on mean–cross comparison of the density and curvature distributions of resampled image data, respectively. (f) presents the aggregated p-value for curvature and density comparison data at both analysis levels. (g) displays the results of the K-/H-Ripley functions for all bootstrap samples. (h) shows the KS-/WX-test results of the K-/H-Ripley data derived from both samples. On the left, the comparison of the K-functions values and on the right the comparison of the H-functions are presented. (i) shows the aggregated p-value for comparisons of K-/H-Ripley data.
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