Measuring Nanoscale Distances by Structured Illumination Microscopy and Image Cross-Correlation Spectroscopy (SIM-ICCS)

Since the introduction of super-resolution microscopy, there has been growing interest in quantifying the nanoscale spatial distributions of fluorescent probes to better understand cellular processes and their interactions. One way to check if distributions are correlated or not is to perform colocalization analysis of multi-color acquisitions. Among all the possible methods available to study and quantify the colocalization between multicolor images, there is image cross-correlation spectroscopy (ICCS). The main advantage of ICCS, in comparison with other co-localization techniques, is that it does not require pre-segmentation of the sample into single objects. Here we show that the combination of structured illumination microscopy (SIM) with ICCS (SIM-ICCS) is a simple approach to quantify colocalization and measure nanoscale distances from multi-color SIM images. We validate the SIM-ICCS analysis on SIM images of optical nanorulers, DNA-origami-based model samples containing fluorophores of different colors at a distance of 80 nm. The SIM-ICCS analysis is compared with an object-based analysis performed on the same samples. Finally, we show that SIM-ICCS can be used to quantify the nanoscale spatial distribution of functional nuclear sites in fixed cells.

Automated summary

There is a growing interest in quantifying the nanoscale spatial distributions of fluorescent probes using super-resolution microscopy, with an emphasis on colocalization analysis for understanding cellular processes and interactions. Image cross-correlation spectroscopy (ICCS) is a method used to study and quantify colocalization between multicolor images, offering the advantage of not requiring pre-segmentation of the sample into single objects. The combination of structured illumination microscopy (SIM) with ICCS (SIM-ICCS) provides a simple approach to quantify colocalization and measure nanoscale distances from multi-color SIM images.