Optical techniques offer a wide variety of applications as light-matter interactions provide
extremely sensitive mechanisms to probe or treat target media. Most of these …

The last decade has seen the development of a wide set of tools, such as wavefront
shaping, computational or fundamental methods, that allow us to understand and control …

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 …

We present a new class of wavefront sensors by extending their design space based on
machine learning. This approach simplifies both the optical hardware and image processing …

The last decades saw a huge rise of artificial intelligence (AI) as a powerful tool to boost
industrial and scientific research in a broad range of fields. AI and photonics are developing …

We present a method for computer-generated holography based on deep learning. The
inverse process of light propagation is regressed with a number of computationally …

Under complex scattering conditions, it is very difficult to capture clear object images hidden
behind the media by modelling the inverse problem. With regard to dynamic scattering …

In recent years, rapid developments in imaging concepts and computational methods have
given rise to a new generation of imaging technologies based on chaos. These chaos …

Scattering often limits the controlled delivery of light in applications such as biomedical
imaging, optogenetics, optical trapping, and fiber-optic communication or imaging. Such …

Optical imaging through or inside scattering media, such as multimode fiber and biological
tissues, has a significant impact in biomedicine yet is considered challenging due to the …