Ultra-high-speed imaging serves as a foundation for modern science. While in biomedicine,
optical-fiber-based endoscopy is often required for in vivo applications, the combination of …

Deep learning has been broadly applied to imaging in scattering applications. A common
framework is to train a descattering network for image recovery by removing scattering …

Single-photon–sensitive depth sensors are being increasingly used in next-generation
electronics for human pose and gesture recognition. However, cost-effective sensors …

Digital camera pixels measure image intensities by converting incident light energy into an
analog electrical current, and then digitizing it into a fixed-width binary representation. This …

Single-photon light detection and ranging (LiDAR)—offering single-photon sensitivity and
picosecond temporal resolution—has become one of the most promising technologies for …

3D time-of-flight (ToF) imaging is used in a variety of applications such as augmented reality
(AR), computer interfaces, robotics and autonomous systems. Single-photon avalanche …

3D time-of-flight (ToF) image sensors are used widely in applications such as self-driving
cars, augmented reality (AR), and robotics. When implemented with single-photon …

Echo location is a broad approach to imaging and sensing that includes both manmade
RADAR, LIDAR, SONAR, and also animal navigation. However, full 3D information based …

Ghost imaging captures 2D images with a point detector instead of an array sensor. It could
therefore solve the challenge of building cameras in wave bands where sensors are difficult …

In non-line-of-sight (NLOS) imaging, the spatial information of hidden targets is
reconstructed from the time-of-light (TOF) of the multiple bounced signal photons. The need …