Cover Image

PiLocNet: Physics-informed neural network on 3D localization with rotating point spread function

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lu, Mingda, Ao, Zitian, Wang, Chao, Prasad, Sudhakar, Chan, Raymond H.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition Optics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Universal point spread function engineering for 3D optical information processing
by: Rahman, Md Sadman Sakib, et al.
Published: (2025)

3D space-variant modal deconvolution with computed point spread functions
by: Czuchnowski, Jakub, et al.
Published: (2025)

MaxwellNet: Physics-driven deep neural network training based on Maxwell's equations
by: Lim, Joowon, et al.
Published: (2021)

Exploiting scattering-based point spread functions for snapshot 5D and modality-switchable lensless imaging
by: Zheng, Ze, et al.
Published: (2025)

Localizing axial dense emitters based on single-helix point spread function and deep learning
by: Ji, Yihong, et al.
Published: (2024)

Physics-informed neural network for nonlinear dynamics of self-trapped necklace beams
by: Liu, Dongshuai, et al.
Published: (2024)

Accurate simulation of the European XFEL scintillating screens point spread function
by: Novokshonov, A.
Published: (2024)

Localizing axial dense emitters based onsingle-helix point spread function andcompressed sensing
by: Wu, Hanzhe, et al.
Published: (2024)

A neural network for forward and inverse nonlinear Fourier transforms for fiber optic communication
by: Zhang, Wen Qi, et al.
Published: (2024)

Physics-informed neural network enhanced multispectral single-pixel imaging with a chip spectral sensor
by: Zhu, Muchen, et al.
Published: (2025)

Physics-informed neural networks for imaging and parameter retrieval of photonic nanostructures from near-field data
by: Chen, Yuyao, et al.
Published: (2021)

Point spread function engineering for spiral phase interferometric scattering microscopy enables robust 3D single-particle tracking
by: Brooks, Nathan J., et al.
Published: (2024)

Multi-dimensional optical neural network
by: Jia, Zhetao, et al.
Published: (2024)

Demultiplexing through a multimode fiber using chip-scale diffractive neural networks
by: Zhang, Qian, et al.
Published: (2025)

A scalable and programmable optical neural network in a time-synthetic dimension
by: Wu, Bei, et al.
Published: (2025)

Fiber-based diffractive deep neural network
by: Kesgin, Bahadır Utku, et al.
Published: (2025)

Nonlinear unitary circuits for photonic neural networks
by: Yu, Sunkyu, et al.
Published: (2024)

Quantum information spreading in inhomogeneous spin ensembles
by: Gupta, Rahul, et al.
Published: (2026)

Physics-guided hierarchical neural networks for Maxwell's equations in plasmonic metamaterials
by: Lynch, Sean, et al.
Published: (2025)

Optical activation function using a metamaterial waveguide for an all-optical neural network
by: Honda, Yoshihiro, et al.
Published: (2024)

Engineering nonlinear activation functions for all-optical neural networks via quantum interference
by: Canora, Ruben, et al.
Published: (2025)

Lensing point-spread function of coherent astrophysical sources and non-trivial wave effects
by: Shi, Xun
Published: (2024)

Emergent self-adaptation in an integrated photonic neural network for backpropagation-free learning
by: Lugnan, Alessio, et al.
Published: (2023)

Photonic neural networks with spatiotemporal chaos in multimode fibers
by: Kesgin, Bahadır Utku, et al.
Published: (2024)

Physics-embedded neural computational electron microscopy for quantitative 4D nanometrology
by: Wang, Hao-Jin, et al.
Published: (2026)

The convolutional neural networks for analysing the micro-cavity array multi-mode quantum frequency comb spectrum features
by: Shen, H., et al.
Published: (2024)

Mode visualisation and control of complex lasers using neural networks
by: Ng, Wai Kit, et al.
Published: (2024)

Online training and pruning of multi-wavelength photonic neural networks
by: Zhang, Jiawei, et al.
Published: (2024)

Diffractive neural networks for mode-sorting with flexible detection regions
by: Bearne, Kaden, et al.
Published: (2025)

Spectral splitting and concentration of broadband light using neural networks
by: Yolalmaz, Alim, et al.
Published: (2020)

Physics-informed neural networks and neural operators for a study of EUV electromagnetic wave diffraction from a lithography mask
by: Es'kin, Vasiliy A., et al.
Published: (2025)

The geometric phase of rotations and 3D coordinate transformations
by: Garza-Soto, Luis, et al.
Published: (2025)

The thin line for optical neural networks towards broad practical relevance
by: Skalli, Anas, et al.
Published: (2026)

Fast single pixel modal wavefront sensing using neural networks
by: Orth, Antony, et al.
Published: (2024)

Deep diffractive optical neural networks for detecting Skyrmionic topologies of light
by: Bezuidenhout, Hadrian, et al.
Published: (2025)

Scalable optical neural network with nonlocally coupled coherent photonic processor
by: Ren, Chun, et al.
Published: (2026)

Scalable multilayer diffractive neural network with all-optical nonlinear activation
by: Dong, Yiying, et al.
Published: (2025)

All-optical Fourier neural network using partially coherent light
by: Qin, Jianwei, et al.
Published: (2024)

Target-depth sensing with metasurface-encoder integrated optoelectronic neural network
by: Wang, Shuo, et al.
Published: (2026)

Linnik point spread functions, time-reversed logarithmic diffusion equations, and blind deconvolution of electron microscope imagery
by: Carasso, Alfred S., et al.
Published: (2025)