Year
Month
(Peer-Reviewed) Multi-prior physics-enhanced neural network enables pixel super-resolution and twin-image-free phase retrieval from single-shot hologram
Xuan Tian ¹ ², Runze Li ¹, Tong Peng ¹, Yuge Xue ¹ ², Junwei Min ¹, Xing Li ¹, Chen Bai ¹ ², Baoli Yao ¹ ²
¹ State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China
中国 西安 中国科学院西安光学精密机械研究所 瞬态光学与光子技术国家重点实验室
² University of Chinese Academy of Sciences, Beijing 100049, China
中国 北京 中国科学院大学
Opto-Electronic Advances, 2024-08-28
Abstract

Digital in-line holographic microscopy (DIHM) is a widely used interference technique for real-time reconstruction of living cells’ morphological information with large space-bandwidth product and compact setup. However, the need for a larger pixel size of detector to improve imaging photosensitivity, field-of-view, and signal-to-noise ratio often leads to the loss of sub-pixel information and limited pixel resolution.

Additionally, the twin-image appearing in the reconstruction severely degrades the quality of the reconstructed image. The deep learning (DL) approach has emerged as a powerful tool for phase retrieval in DIHM, effectively addressing these challenges. However, most DL-based strategies are data-driven or end-to-end net approaches, suffering from excessive data dependency and limited generalization ability. Herein, a novel multi-prior physics-enhanced neural network with pixel super-resolution (MPPN-PSR) for phase retrieval of DIHM is proposed. It encapsulates the physical model prior, sparsity prior and deep image prior in an untrained deep neural network.

The effectiveness and feasibility of MPPN-PSR are demonstrated by comparing it with other traditional and learning-based phase retrieval methods. With the capabilities of pixel super-resolution, twin-image elimination and high-throughput jointly from a single-shot intensity measurement, the proposed DIHM approach is expected to be widely adopted in biomedical workflow and industrial measurement.
Multi-prior physics-enhanced neural network enables pixel super-resolution and twin-image-free phase retrieval from single-shot hologram_1
Multi-prior physics-enhanced neural network enables pixel super-resolution and twin-image-free phase retrieval from single-shot hologram_2
Multi-prior physics-enhanced neural network enables pixel super-resolution and twin-image-free phase retrieval from single-shot hologram_3
Multi-prior physics-enhanced neural network enables pixel super-resolution and twin-image-free phase retrieval from single-shot hologram_4
  • Paving continuous heat dissipation pathways for quantum dots in polymer with orange-inspired radially aligned UHMWPE fibers
  • Xuan Yang, Xinfeng Zhang, Tianxu Zhang, Linyi Xiang, Bin Xie, Xiaobing Luo
  • Opto-Electronic Advances
  • 2024-07-05
  • Multiplexed stimulated emission depletion nanoscopy (mSTED) for 5-color live-cell long-term imaging of organelle interactome
  • Yuran Huang, Zhimin Zhang, Wenli Tao, Yunfei Wei, Liang Xu, Wenwen Gong, Jiaqiang Zhou, Liangcai Cao, Yong Liu, Yubing Han, Cuifang Kuang, Xu Liu
  • Opto-Electronic Advances
  • 2024-07-05
  • Photonics-assisted THz wireless communication enabled by wide-bandwidth packaged back-illuminated modified uni-traveling-carrier photodiode
  • Yuxin Tian, Boyu Dong, Yaxuan Li, Bing Xiong, Junwen Zhang, Changzheng Sun, Zhibiao Hao, Jian Wang, Lai Wang, Yanjun Han, Hongtao Li, Lin Gan, Nan Chi, Yi Luo
  • Opto-Electronic Science
  • 2024-07-01
  • Control of light–matter interactions in two-dimensional materials with nanoparticle-on-mirror structures
  • Shasha Li, Yini Fang, Jianfang Wang
  • Opto-Electronic Science
  • 2024-06-28
  • Highly enhanced UV absorption and light emission of monolayer WS2 through hybridization with Ti2N MXene quantum dots and g-C3N4 quantum dots
  • Anir S. Sharbirin, Rebekah E. Kong, Wendy B. Mato, Trang Thu Tran, Eunji Lee, Jolene W. P. Khor, Afrizal L. Fadli, Jeongyong Kim
  • Opto-Electronic Advances
  • 2024-06-28
  • High performance micromachining of sapphire by laser induced plasma assisted ablation (LIPAA) using GHz burst mode femtosecond pulses
  • Kotaro Obata, Shota Kawabata, Yasutaka Hanada, Godai Miyaji, Koji Sugioka
  • Opto-Electronic Science
  • 2024-06-24
  • Large-field objective lens for multi-wavelength microscopy at mesoscale and submicron resolution
  • Xin Xu, Qin Luo, Jixiang Wang, Yahui Song, Hong Ye, Xin Zhang, Yi He, Minxuan Sun, Ruobing Zhang, Guohua Shi
  • Opto-Electronic Advances
  • 2024-06-11
  • Seeing at a distance with multicore fibers
  • Haogong Feng, Xi Chen, Runze Zhu, Yifeng Xiong, Ye Chen, Yanqing Lu, Fei Xu
  • Opto-Electronic Advances
  • 2024-06-05
  • NIR-triggered on-site NO/ROS/RNS nanoreactor: Cascade-amplified photodynamic/photothermal therapy with local and systemic immune responses activation
  • Ziqing Xu, Yakun Kang, Jie Zhang, Jiajia Tang, Hanyao Sun, Yang Li, Doudou He, Xuan Sha, Yuxia Tang, Ziyi Fu, Feiyun Wu, Shouju Wang
  • Opto-Electronic Advances
  • 2024-06-05
  • Reconfigurable optical neural networks with Plug-and-Play metasurfaces
  • Yongmin Liu, Yuxiao Li
  • Opto-Electronic Advances
  • 2024-06-04
  • Charge collection narrowing mechanism in electronic-grade-diamond photodetectors
  • Xiaoping Ouyang
  • Opto-Electronic Advances
  • 2024-05-30



  • Finely regulated luminescent Ag-In-Ga-S quantum dots with green-red dual emission toward white light-emitting diodes                                An externally perceivable smart leaky-wave antenna based on spoof surface plasmon polaritons
    About
    |
    Contact
    |
    Copyright © PubCard