The main obstacle for optical imaging or for sending information through turbid media such
as paint, clouds and biological tissue is the random scattering of light. Owing to its immense …

Since its discovery, quantum entanglement has challenged some of the best established
views of the world: locality and reality. Quantum technologies promise to revolutionize …

Imaging can take many forms—from optical microscopes and telescopes through
ultrasonography to X-ray tomography. However, regardless of the imaging modality, the …

Disorder, which qualitatively describes some measure of irregularities in spatial patterns, is
ubiquitous in many-body systems, equilibrium and non-equilibrium states of matter, network …

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 …

Since their inception in the 1930–1960s, the research disciplines of computational imaging
and machine learning have followed parallel tracks and, during the last two decades …

Super-resolution microscopy is typically not applicable to in situ imaging through a narrow
channel due to the requirement for complex optics. Although multimode fibres (MMFs) have …

Optical imaging has had a central role in elucidating the underlying biological and
physiological mechanisms in living specimens owing to its high spatial resolution, molecular …

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 …

Deep learning has been proven to yield reliably generalizable solutions to numerous
classification and decision tasks. Here, we demonstrate for the first time to our knowledge …