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- W2694149255 abstract "We report a robust nonparametric descriptor, J'(r), for quantifying the density of clustering molecules in single-molecule localization microscopy. J'(r), based on nearest neighbor distribution functions, does not require any parameter as an input for analyzing point patterns. We show that J'(r) displays a valley shape in the presence of clusters of molecules, and the characteristics of the valley reliably report the clustering features in the data. Most importantly, the position of the J'(r) valley ([Formula: see text]) depends exclusively on the density of clustering molecules (ρc). Therefore, it is ideal for direct estimation of the clustering density of molecules in single-molecule localization microscopy. As an example, this descriptor was applied to estimate the clustering density of ptsG mRNA in E. coli bacteria." @default.
- W2694149255 created "2017-06-30" @default.
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- W2694149255 date "2017-06-21" @default.
- W2694149255 modified "2023-10-06" @default.
- W2694149255 title "Robust nonparametric quantification of clustering density of molecules in single-molecule localization microscopy" @default.
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- W2694149255 doi "https://doi.org/10.1371/journal.pone.0179975" @default.
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