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bioRxiv · 10.1101/2020.08.19.254540

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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Abstract

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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Marenda, M., Lazarova, E., van de Linde, S., Gilbert, N., Michieletto, D.. 2020-08-20. SuperStructure: a Parameter-Free Super-Structure Identifier for SMLM Data. https://doi.org/10.1101/2020.08.19.254540

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