Fig. 8: Categorising the magnitude of absolute miscounting as a function of DSB clustering. | Communications Biology

Fig. 8: Categorising the magnitude of absolute miscounting as a function of DSB clustering.

From: A computational approach to quantifying miscounting of radiation-induced double-strand break immunofluorescent foci

Fig. 8

The values of clustering are calculated based on the known amount of DSBs within the cell nucleus at a given time point. Clustering equates to the average number of DSBs within proximity to each DSB within the simulated cell nucleus. Where proximity for this study is characterised as 200 nm. Clustering is increased for early time points, higher dose, higher LET and is decreased for the opposite. Therefore, the clustering combines time, dose and radiation type parameters into a single metric. a, b are for the DSB and γ-H2AX markers respectively. c, d are for the DSB and γ-H2AX markers with perfect deconvolution respectively. Error bars correspond to 1.5 times the interquartile range in either direction. Mann–Whitney test between categorised clustering values to highlight statistically significant differences. p values have been adjusted using the Bonferroni correction. Significance notation refers to the following thresholds: ns = p > 0.05, *p > 0.01, **p > 1e−3, ***p > 1e−4, ****p < 1e−4. All microscope images have been emulated using the Airyscan ×63 point spread function.

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