Probing neural codes with two-photon holographic optogenetics

H Adesnik, L Abdeladim - Nature neuroscience, 2021‏ - nature.com
Optogenetics ushered in a revolution in how neuroscientists interrogate brain function.
Because of technical limitations, the majority of optogenetic studies have used low spatial …

Roadmap on digital holography

B Javidi, A Carnicer, A Anand, G Barbastathis… - Optics …, 2021‏ - opg.optica.org
This Roadmap article on digital holography provides an overview of a vast array of research
activities in the field of digital holography. The paper consists of a series of 25 sections from …

End-to-end learning of 3D phase-only holograms for holographic display

L Shi, B Li, W Matusik - Light: Science & Applications, 2022‏ - nature.com
Computer-generated holography (CGH) provides volumetric control of coherent wavefront
and is fundamental to applications such as volumetric 3D displays, lithography, neural …

Roadmap on wavefront sha** and deep imaging in complex media

S Gigan, O Katz, HB De Aguiar… - Journal of Physics …, 2022‏ - iopscience.iop.org
The last decade has seen the development of a wide set of tools, such as wavefront
sha**, computational or fundamental methods, that allow us to understand and control …

Neural 3D holography: learning accurate wave propagation models for 3D holographic virtual and augmented reality displays

S Choi, M Gopakumar, Y Peng, J Kim… - ACM Transactions on …, 2021‏ - dl.acm.org
Holographic near-eye displays promise unprecedented capabilities for virtual and
augmented reality (VR/AR) systems. The image quality achieved by current holographic …

[HTML][HTML] The state-of-the-art in computer generated holography for 3D display

D Blinder, T Birnbaum, T Ito… - Light: Advanced …, 2022‏ - light-am.com
Holographic displays have the promise to be the ultimate 3D display technology, able to
account for all visual cues. Recent advances in photonics and electronics gave rise to high …

[HTML][HTML] Deep holography

G Situ - Light: Advanced Manufacturing, 2022‏ - light-am.com
With the explosive growth of mathematical optimization and computing hardware, deep
neural networks (DNN) have become tremendously powerful tools to solve many …

High-speed computer-generated holography using an autoencoder-based deep neural network

J Wu, K Liu, X Sui, L Cao - Optics Letters, 2021‏ - opg.optica.org
Learning-based computer-generated holography (CGH) provides a rapid hologram
generation approach for holographic displays. Supervised training requires a large-scale …

Non-convex optimization for inverse problem solving in computer-generated holography

X Sui, Z He, D Chu, L Cao - Light: Science & Applications, 2024‏ - nature.com
Computer-generated holography is a promising technique that modulates user-defined
wavefronts with digital holograms. Computing appropriate holograms with faithful …

[PDF][PDF] 4K-DMDNet: diffraction model-driven network for 4K computer-generated holography

K Liu, J Wu, Z He, L Cao - Opto-Electronic Advances, 2023‏ - researching.cn
Deep learning offers a novel opportunity to achieve both high-quality and high-speed
computer-generated holography (CGH). Current data-driven deep learning algorithms face …