Traditional imaging systems exhibit a well-known trade-off between the resolution and the
field of view of their captured images. Typical cameras and microscopes can either “zoom in” …

Quantitative Phase Imaging (QPI) provides unique means for the imaging of biological or
technical microstructures, merging beneficial features identified with microscopy …

In this paper, we employ the emerging paradigm of physics-informed neural networks
(PINNs) for the solution of representative inverse scattering problems in photonic …

Imaging through scattering is an important yet challenging problem. Tremendous progress
has been made by exploiting the deterministic input–output “transmission matrix” for a fixed …

Plug-and-play priors (PnP) is a powerful framework for regularizing imaging inverse
problems by using advanced denoisers within an iterative algorithm. Recent experimental …

In the past two decades, nonlinear image reconstruction methods have led to substantial
improvements in the capabilities of numerous imaging systems. Such methods are …

We propose an accurate and computationally efficient 3D scattering model, multi-layer Born
(MLB), and use it to recover the 3D refractive index (RI) of thick biological samples. For …

Optical diffraction tomography (ODT) reconstructs a sample's volumetric refractive index (RI)
to create high-contrast, quantitative 3D visualizations of biological samples. However …

Image reconstruction under multiple light scattering is crucial in a number of applications
such as diffraction tomography. The reconstruction problem is often formulated as a …

We present a tomographic imaging technique, termed Deep Prior Diffraction Tomography
(DP-DT), to reconstruct the 3D refractive index (RI) of thick biological samples at high …