Advanced Brillouin-based distributed optical fibre sensors with sub-meter scale spatial resolution

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Depth sensing is an increasingly important feature in many applications of consumer, automotive, augmented/virtual reality (AR-VR), space and bio-medical imaging. Long range, high depth resolution, high spatial resolution, and high frame rates are often co ...

Super-resolution (SR) has traditionally been based on pairs of high-resolution images (HR) and their low-resolution (LR) counterparts obtained artificially with bicubic downsampling. However, in real-world SR, there is a large variety of realistic image de ...

This contribution focuses on the fabrication and characterization of microchannel plates made of hydrogenated amorphous silicon (AMCPs). Flexible fabrication processes and the semi-conducting nature of amorphous silicon could give these detectors the advan ...

Optical imaging probes have played a major role in detecting and monitoring a variety of diseases. In particular, nonlinear optical imaging probes, such as second harmonic generating (SHG) nanoprobes, hold great promise as clinical contrast agents, as they ...

We compare two transmission electron microscopy (TEM) based techniques that can provide highly spatially resolved quantitative measurements of magnetic induction fields at high sensitivity. To this end, the magnetic induction of a ferromagnetic NiFe nanowi ...

Image super-resolution is a classic ill-posed computer vision and image processing problem, addressing the question of how to reconstruct a high-resolution image from its low-resolution counterpart. Current state-of-the-art methods have improved the perfor ...

Fluorescence lifetime imaging microscopy (FLIM) is an imaging modality often used to monitor biochemical properties of a cell or a tissue. In addition to conventional fluorescence microscopy features, such as selective labeling and non-invasiveness, FLIM e ...

Fluorescence super-resolution microscopy has allowed unprecedented insight into the workings of biological systems below the diffraction limit of light. Over the past decade, it has overcome several challenges to deliver 3D, multi-color and faster imaging ...

Super-resolution microscopies have become an established tool in biological research. However, imaging throughput remains a main bottleneck in acquiring large datasets required for quantitative biology. Here we describe multifocal flat illumination for fie ...

As of today, the extension of the human visual capabilities to machines remains both a cornerstone and an open challenge in the attempt to develop intelligent systems. On the one hand, the development of more and more sophisticated imaging devices, capable ...

A distributed and dynamic strain sensing system based on frequency-scanning phase-sensitive optical time domain reflectometry is proposed and demonstrated. By utilizing an RF pulse scheme with a fast arbitrary waveform generator, a train of optical pulses ...

Generative adversarial networks (GANs) have been recently adopted for super-resolution, an application closely related to what is referred to as "downscaling'' in the atmospheric sciences: improving the spatial resolution of low-resolution images. The abil ...

Advanced Brillouin-based distributed optical fibre sensors with sub-meter scale spatial resolution

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Direct time-of-flight SPAD image sensors for light detection and ranging

Benefiting From Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution

Fabrication and Characterization of High Aspect Ratio Amorphous Silicon Based Microchannel Plates

Biodegradable Harmonophores for Targeted High-Resolution In Vivo Tumor Imaging

High-sensitivity mapping of magnetic induction fields with nanometer-scale resolution: comparison of off-axis electron holography and pixelated differential phase contrast

Context-Aware Image Super-Resolution Using Deep Neural Networks

Large-Format Time-Gated SPAD Cameras for Real-Time Phasor-Based FLIM

High-throughput and adaptive super-resolution fluorescence microscopy of organelles

Homogeneous multifocal excitation for high-throughput super-resolution imaging

Graph-based regularization of inverse problems in imaging

Distributed and dynamic strain sensing with high spatial resolution and large measurable strain range

Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields With a Generative Adversarial Network