The goal of computer-generated holography (CGH) is to synthesize custom illumination
patterns by modulating a coherent light beam. CGH algorithms typically rely on iterative …

Genetically encoded calcium indicators and optogenetics have revolutionized neuroscience
by enabling the detection and modulation of neural activity with single-cell precision using …

Current development in a deep neural network (DNN) has given an opportunity to a novel
framework for the reconstruction of a holographic image and a phase recovery method with …

In this paper, we present a noniterative method for 3D computer-generated holography
based on deep learning. A convolutional neural network is adapted for directly generating a …

Computer generated holography has long been touted as the future of augmented and
virtual reality (AR/VR) displays, but has yet to be realized in practice. Previous high-quality …

Thermally modulated Nanophotonic Phased Arrays (NPAs) can be used as phase-only
holographic displays. Compared to the holographic displays based on Liquid Crystal on …

Digital holography is a promising candidate for advanced display, although several
obstacles remain, such as the problem of heavy time consumption in the generation of …

Phase-only acoustic holography is a fundamental and promising technique for contactless
robotic manipulation. Through independently controlling phase-only hologram (POH) of …

We introduce LightFlow, an open-source software package for simulating light wave
propagation through custom optical components and systems. Built upon TensorFlow and …

Enhanced Two-photon Absorption with Deep Learning-based Computer Generated Holography
Page 1 FTu2B.2.pdf Frontiers in Optics / Laser Science © OSA 2020 Enhanced Two-photon …