Method, device, and computer program for improving the reconstruction of dense super-resolution images from diffraction-limited images acquired by single molecule localization microscopy

Abstract

The invention relates to reconstructing a synthetic dense super-resolution image from at least one low-information-content image, for example from a sequence of diffraction-limited images acquired bysingle 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 and / or a corresponding low-resolution wide-field image are 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 triplets of sparse localization images, at least partially corresponding low-resolution wide-field 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.

Description

technical field [0001] The present invention relates generally to the fields of microscopy and image processing. More specifically, the present invention relates to methods, apparatus and computer programs for improving from diffraction-limited images acquired by single-molecule localization microscopy to dense super-resolution images (i.e., having resolutions beyond the diffraction limit The reconstruction of images of ) makes it possible to reduce the acquisition time of diffraction-limited images for reconstructing dense super-resolution images without significantly affecting the quality and resolution of the reconstructed images. Background technique [0002] Fluorescence microscopy methods that overcome the diffraction limit of resolution (approximately 200 to 300 nm) allow the imaging of biological structures with molecular specificities close to the molecular scale. Among super-resolution microscopy methods, those based on single-molecule localization such as PALM (P...

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Problems solved by technology

However, these overlaps necessarily compromise the detection accuracy of fluorophore localization, meaning that any increase in temporal resolution comes at the expense of spatial resolution

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