METHOD, DEVICE, AND COMPUTER PROGRAM FOR IMPROVING THE RECONSTRUCTION OF DENSE SUPER-RESOLUTION IMAGES FROM DIFFRACTION-LIMITED IMAGES ACQUIRED BY SINGLE MOLECULE LOCALIZATION MICROSCOPY

摘要

The invention relates to reconstructing a synthetic dense super-resolution image from a sequence of diffraction-limited images acquired by single molecule localization microscopy. After having obtained such a sequence of diffraction-limited images, a sparse localization image is reconstructed from the obtained sequence of diffraction-limited images according to single molecule localization microscopy image processing. The reconstructed sparse localization image is input to an artificial neural network and a synthetic dense super-resolution image is obtained from the artificial neural network, the latter being trained with training data comprising pairs of sparse localization images and corresponding dense super-resolution images, as a function of a training objective function comparing dense super-resolution images and corresponding outputs of the artificial neural network.