In addition to the G&F analysis, a nearest neighbor–based method was used to assess the distribution of the STORM data. To determine whether an event was clustered, a threshold was applied that was based on the sum of the distances to the 10 nearest-neighbor events, and this threshold varied according to the density of the data. In this analysis, for each data point within each image, the distance to the 10 nearest data points was calculated, inverted, and normalized to randomized data. The threshold was chosen as 75% of the spread of the randomized data, when it was at the same density as the experimental data. These analyses were performed in MATLAB R2014a (MathWorks) software.

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