6 papers
DeepCEL0 for 2D Single Molecule Localization in Fluorescence Microscopy
Pasquale Cascarano, Maria Colomba Comes, Andrea Sebastiani +3
In fluorescence microscopy, Single Molecule Localization Microscopy (SMLM) techniques aim at localizing with high precision high density fluorescent molecules by stochastically act…
Plug-and-Play gradient-based denoisers applied to CT image enhancement
Pasquale Cascarano, Elena Loli Piccolomini, Elena Morotti +1
Blur and noise corrupting Computed Tomography (CT) images can hide or distort small but important details, negatively affecting the diagnosis. In this paper, we present a novel gra…
Recursive Deep Prior Video: a Super Resolution algorithm for Time-Lapse Microscopy of organ-on-chip experiments
Pasquale Cascarano, Maria Colomba Comes, Arianna Mencattini +3
Biological experiments based on organ-on-chips (OOCs) exploit light Time-Lapse Microscopy (TLM) for a direct observation of cell movement that is an observable signature of underly…
Efficient gradient-based Super Resolution for simplified image segmentation
Pasquale Cascarano, Luca Calatroni, Elena Loli Piccolomini
We consider a variational model for single-image super-resolution based on the assumption that the gradient of the target image is sparse. We enforce this assumption by considering…
Optimization methods for very accurate Digital Breast Tomosynthesis image reconstruction
Elena Morotti, Elena Loli Piccolomini
Digital Breast Tomosynthesis is an X-ray imaging technique that allows a volumetric reconstruction of the breast, from a small number of low-dose two-dimensional projections. Altho…
Preliminary analysis of COVID-19 spread in Italy with an adaptive SEIRD model
Elena Loli Piccolomini, Fabiana Zama
In this paper we propose a Susceptible-Infected-Exposed-Recovered-Dead (SEIRD) differential model for the analysis and forecast of the COVID-19 spread in some regions of Italy, usi…