The presented correlation clustering imaging (CLIM) algorithm takes advantage of the occurrence of temporal intensity fluctuations in wide-field fluorescence microscopy videos acquired on thin semiconducting films. Using temporal correlations between neighboring pixels, CLIM clusters the image into different regions, exhibiting synchronous fluctuations. The method is illustrated in Figure using a simulated movie consisting of an array of independently blinking emitters. In the simulated movie (Supporting Movie 1), these emitters were positioned in proximity (with distances similar to the point spread function (PSF) of the microscope) to mimic a film with distinct grains emitting independently (Figure ). The simulation details can be found in Supporting Note I. As shown in Figure , the individual emitters cannot be distinguished in the simulated PL image.