Pietro Ferraro

TL;DR: In this paper, a convolutional neural network (CNN) was used to compensate for aberrations in a phase aberration map, where the optimal coefficients for constructing the map act as responses corresponding to the input aberrated phase image, and the results showed that the proposed method could provide a highly efficient and versatile way to investigate the effects of micro-fluidic shear stress on living biological cells in micro-chip platforms.

TL;DR: Graphene family materials (GFMs) have large perspectives for drug-delivery applications, but their internalization in live cells is under investigation in a wide variety of studies in order to asse...

TL;DR: In this paper, the fast dynamic evolution of ferroelectric domains during electric field poling in flux grown KTiOPO4 crystals was investigated online by a digital holography based technique.

TL;DR: In this paper, a phase unwrapping method based on an algorithm which makes use of Green's first identity was presented, which aims at recovering the correct phase information encoded in a fringe pattern after digital holography (DH) numerical processing.

TL;DR: Stable chains of carbon-based nanoparticles were formed directly in polymer matrixes through an electrode-free approach, characterized by controlling different parameters, including surface charge configuration, particle concentration, and polymer viscosity, thus demonstrating the reliability of the technique.