19 citations · 31 across the 4 of their papers we have counts for
5 papers
Second-harmonic optical diffraction tomography
Amirhossein Saba, Carlo Gigli, Ye Pu +1
Optical diffraction tomography (ODT) has emerged as an important label-free tool in biomedicine to measure the three-dimensional (3D) structure of a biological sample. In this pape…
Predicting nonlinear optical scattering with physics-driven neural networks
Carlo Gigli, Amirhossein Saba, Ahmed Bassam Ayoub +1
Deep neural networks trained on physical losses are emerging as promising surrogates of nonlinear numerical solvers. These tools can predict solutions of Maxwell's equations and co…
Physics-informed neural networks for diffraction tomography
Amirhossein Saba, Carlo Gigli, Ahmed B. Ayoub +1
We propose a physics-informed neural network as the forward model for tomographic reconstructions of biological samples. We demonstrate that by training this network with the Helmh…
Optical Diffraction Tomography based on 3D Physics-Inspired Neural Network (PINN)
Ahmed B. Ayoub, Amirhossein Saba, Carlo Gigli +1
Optical diffraction tomography (ODT) is an emerging 3D imaging technique that is used for the 3D reconstruction of the refractive index (RI) for semi-transparent samples. Various i…
Two Dimensional Edge Detection by Guided Mode Resonant Metasurface
Amirhossein Saba, Mohammad Reza Tavakol, Parisa Karimi-Khoozani +1
In this letter, a new approach to perform edge detection is presented using an all-dielectric CMOS-compatible metasurface. The design is based on guided-mode resonance which provid…