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Motivation: Unlike conventional microscopy which produces pixelated images, SMLM produces data in the form of a list of localization coordinatesa spatial point pattern (SPP). Often, such SPPs are analyzed using cluster analysis algorithms to quantify molecular clustering within, for example, the plasma membrane. While SMLM cluster analysis is now well developed, techniques for analyzing fibrous structures remain poorly explored. Results: Here, we demonstrate statistical methodology, based ondoi:10.1093/bioinformatics/btx026 pmid:28108449 fatcat:orwkobd7tfetnjbxhdgzua2yo4