TY - JOUR T1 - SuperStructure: a Parameter-Free Super-Structure Identifier for SMLM Data JF - bioRxiv DO - 10.1101/2020.08.19.254540 SP - 2020.08.19.254540 AU - M. Marenda AU - E. Lazarova AU - S. van de Linde AU - N. Gilbert AU - D. Michieletto Y1 - 2020/01/01 UR - http://biorxiv.org/content/early/2020/08/20/2020.08.19.254540.abstract N2 - Single-Molecule Localisation Microscopy (SMLM) allows the quantitative mapping of molecules at high resolution. However, understanding the non-random interaction of proteins requires the identification of more complex patterns than those typified by standard clustering tools. Here we introduce SuperStructure, a parameter-free algorithm to quantify structures made of inter-connected clusters, such as protein gels. SuperStructure works without a priori assumptions and is thus an ideal methodology for standardised analysis of SMLM data.Competing Interest StatementThe authors have declared no competing interest. ER -