We created a small dataset - the diffraction limited to super-resolution (DL2SR) dataset - that is dedicated to estimate the super-resolution intensity from a diffracton limited fluorescence microscopy intensity images. The dataset consists of training and testing parts. 15 FOV's of BPAE cells fluorescence microscopy intensity images obtained with custom-built two-photon microscope. We use 1 FOV DL images for testing. These images are captured with excitation wavelength of 800 nm and power levels 6 mW. Each FOV contains 50 images of different noise realizations. Hence training dataset: 15 FOV's -> 750 images and testing dataset: 1 FOV -> 50 images Target images are geenrated using SRRF method using ImageJ plugin.