, Volume 141, Issue 6, pp 605-612
Date: 19 Mar 2014

Method for co-cluster analysis in multichannel single-molecule localisation data

Rent the article at a discount

Rent now

* Final gross prices may vary according to local VAT.

Get Access


We demonstrate a combined univariate and bivariate Getis and Franklin’s local point pattern analysis method to investigate the co-clustering of membrane proteins in two-dimensional single-molecule localisation data. This method assesses the degree of clustering of each molecule relative to its own species and relative to a second species. Using simulated data, we show that this approach can quantify the degree of cluster overlap in multichannel point patterns. The method is validated using photo-activated localisation microscopy and direct stochastic optical reconstruction microscopy data of the proteins Lck and CD45 at the T cell immunological synapse. Analysing co-clustering in this manner is generalizable to higher numbers of fluorescent species and to three-dimensional or live cell data sets.