Deep neural networks (DNNs) are used to classify and reconstruct the input images from the
intensity of the speckle patterns that result after the inputs are propagated through …

Ultrathin lensless fibre endoscopes offer minimally invasive investigation, but they mostly
operate as a rigid type due to the need for prior calibration of a fibre probe. Furthermore …

We take stock of the progress that has been made into developing ultrathin endoscopes
assisted by wave front shaping. We focus our review on multicore fiber-based lensless …

Abstract Information transmission through multimode fibers (MMFs) has been a topic of great
interest for many years. Deep learning algorithms have been applied successfully to MMFs …

The generation of tailored complex light fields with multi-core fiber (MCF) lensless
microendoscopes is widely used in biomedicine. However, the computer-generated …

We demonstrate the ability of a multimode fiber probe to provide two-photon fluorescence
(TPF) imaging feedback that guides the femtosecond laser ablation (FLA) in biological …

The images produced by multicore endoscopes are pixelated, and their resolution is limited
by the core-to-core spacing. Lenses can be used to improve the resolution, but this reduces …

In this Letter, we report a<? TeX 2pc 0pt?> high-<? TeX 4pc 0pt?> efficiency, miniaturized,
ultra-fast coherent beam, combined with 3D-printed micro-optics directly on the tip of a …

We report two-photon lensless imaging through a novel Fermat's golden spiral multicore
fiber. This unique layout optimizes the sidelobe levels, field of view, crosstalk, group delay …

This paper demonstrates multiphoton excited fluorescence imaging through a polarisation
maintaining multicore fiber (PM-MCF) while the fiber is dynamically deformed using all …