Determining the structure and composition of macromolecular assemblies is a major
challenge in biology. Here we describe ultrastructure expansion microscopy (U-ExM), an …

This paper includes a tutorial on how to reconstruct in-line holograms using an inverse
problems approach, starting with modeling the observations, selecting regularizations and …

To understand neural circuits that control limbs, one must measure their activity during
behavior. Until now this goal has been challenging, because limb premotor and motor …

Optical diffraction tomography relies on solving an inverse scattering problem governed by
the wave equation. Classical reconstruction algorithms are based on linear approximations …

This tutorial covers biomedical image reconstruction, from the foundational concepts of
system modeling and direct reconstruction to modern sparsity and learning-based …

Taking benefit from recent advances in both phase retrieval and estimation of refractive
indices from holographic measurements, we propose a unified framework to reconstruct …

GlobalBioIm is an open-source MATLAB® library for solving inverse problems. The library
capitalizes on the strong commonalities between forward models to standardize the …

We study continuous-domain linear inverse problems with generalized total-variation (gTV)
regularization, expressed in terms of a regularization operator L. It has recently been proved …

In-line digital holography is a simple yet powerful tool to image absorbing and/or phase
objects. Nevertheless, the loss of the phase of the complex wavefront on the sensor can be …

We study one-dimensional continuous-domain inverse problems with multiple generalized
total-variation regularization, which involves the joint use of several regularization operators …