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Permits to quantitatively assess to fibrous structures in 2D single-molecule localization microscopy (SMLM) datasets. Angular-Ripleys-K describes fiber spatial arrangements and shows how these descriptions can be quantitatively derived from pointillist datasets. It can discriminate between perpendicular, non-perpendicular and randomly orientated fibers. The tool is able to determine the interfiber spacing despite the presence of localization uncertainty and background signal originating from non-fiber associated points.
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