In recent years, the integration of deep learning techniques with biophotonic setups has
opened new horizons in bioimaging. A compelling trend in this field involves deliberately …

Propelled by the striking advances in optical microscopy and deep learning (DL), the role of
imaging in lab-on-a-chip has dramatically been transformed from a silo inspection tool to a …

Structured light with customized topological patterns inspires diverse classical and quantum
investigations underpinned by accurate detection techniques. However, the current …

Pathological diagnosis relies on the visual inspection of histologically stained thin tissue
specimens, where different types of stains are applied to bring contrast to and highlight …

Optical coherence tomography (OCT) is a widely used non-invasive biomedical imaging
modality that can rapidly provide volumetric images of samples. Here, we present a deep …

In light of pending capacity crunch in information era, orbital-angular-momenta-carrying
vortex beams are gaining traction thanks to enlarged transmission capability. However, high …

Image visual quality is of fundamental importance for three-dimensional (3D) light-field
displays. The pixels of a light-field display are enlarged after the imaging of the light-field …

Deep learning-based virtual staining was developed to introduce image contrast to label-
free tissue sections, digitally matching the histological staining, which is time-consuming …

A new technique of deep learning‐based pixel‐super‐resolved quantitative phase
microscopy (DL‐SRQPI) is proposed, achieving rapid wide‐field high‐resolution and high …

Deep learning-based methods in computational microscopy have been shown to be
powerful but, in general, face some challenges due to limited generalization to new types of …