SuperStructure: a Parameter-Free Super-Structure Identifier for SMLM Data
Marenda, M.; Lazarova, E.; van de Linde, S.; Gilbert, N.; Michieletto, D.
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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.
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