Link to bioRxiv paper:

http://biorxiv.org/cgi/content/short/2020.08.19.254540v1?rss=1

Authors: Marenda, M., Lazarova, E., van de Linde, S., Gilbert, N., Michieletto, D.

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.

Copy rights belong to original authors. Visit the link for more info