Created for researchers focusing on protein-protein interactions, the FRET module incorporates the two most commonly accepted algorithms: Elangovan and Periasamy, and Gordon and Herman, and adds our own proprietary algorithm as well.  All three algorithms correct Cross Talk, but AutoQuant's proprietary algorithm goes one step further. Where other algorithms make assumptions about the Cross Talk, our Maximum Likelihood Estimation algorithm mathematically solves the Cross Talk, allowing for a much more accurate analysis of the images.

FRET X also includes several helpful preprocessing tools to turn your images into precisely analyzed statistics. The Channel to Channel alignment tool corrects for shifts between channels, shifts that would otherwise corrupt your analyses.  The Background Subtraction tool eliminates artifacts that can compromise the results of your analyses.

Once the datasets have been processed with the desired algorithm, easily create as many regions of interest as you desire, then run statistical analyses on those ROI’s, and export the results to a spreadsheet.  For added ease of use, FRET X is multiThreaded, meaning more than one process can be running at a time.