9 citations · 9 across the 5 of their papers we have counts for
7 papers
Neural Blind Deconvolution for Image Scanning Microscopy
Eliot Guez, Nathan Buskulic, Lisa Cuneo +2
Image scanning microscopy (ISM) acquires one scanned image per detector element, which are then fused into a single image by multi-image deconvolution to obtain a super-resolved im…
Self-Tuning Regularization for Image Scanning Microscopy
Sofia Agostoni, Lisa Cuneo, Christian Daniele +5
Image Scanning Microscopy (ISM) is a fluorescence imaging technique that combines detector-array acquisition and computational reconstruction to achieve the theoretical resolution…
Algorithmic unfolding for image reconstruction and localization problems in fluorescence microscopy
Silvia Bonettini, Luca Calatroni, Danilo Pezzi +1
We propose an unfolded accelerated projected-gradient descent procedure to estimate model and algorithmic parameters for image super-resolution and molecule localization problems i…
Fluctuation-based deconvolution in fluorescence microscopy using plug-and-play denoisers
Vasiliki Stergiopoulou, Subhadip Mukherjee, Luca Calatroni +1
The spatial resolution of images of living samples obtained by fluorescence microscopes is physically limited due to the diffraction of visible light, which makes the study of enti…
3D Image Super-Resolution by fluorophore fluctuations and MA-TIRF Microscopy reconstruction (3D-COL0RME)
Vasiliki Stergiopoulou, Luca Calatroni, Sébastien Schaub +1
We propose a 3D super-resolution approach to improve both lateral and axial spatial resolution in Total Internal Reflectance Fluorescence (TIRF) imaging applications. Our approach,…
COL0RME: Super-resolution microscopy based on sparse blinking/fluctuating fluorophore localization and intensity estimation
Vasiliki Stergiopoulou, Luca Calatroni, José Henrique de Morais Goulart +2
To overcome the physical barriers caused by light diffraction, super-resolution techniques are often applied in fluorescence microscopy. State-of-the-art approaches require specifi…
COL0RME: COvariance-based super-Resolution Microscopy with intensity Estimation
Vasiliki Stergiopoulou, José Henrique de Morais Goulart, Sébastien Schaub +2
Super-resolution light microscopy overcomes the physical barriers due to light diffraction, allowing for the observation of otherwise indistinguishable subcellular entities. Howeve…