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Super-resolution fluorescence microscopy is an important tool in biomedical research for its ability to discern features smaller than the diffraction limit. However, due to its difficult implementation and high cost, the universal…

Single Pixel (SP) imaging is now a reality in many applications, e.g., biomedical ultrathin endoscope and fluorescent spectroscopy. In this context, many schemes exist to improve the light throughput of these device, e.g., using structured…

Computer Vision and Pattern Recognition · Computer Science 2019-02-19 Amirafshar Moshtaghpour , José M. Bioucas-Dias , Laurent Jacques

Stacked intelligent metasurfaces (SIMs) have recently emerged as an effective solution for next-generation wireless networks. A SIM comprises multiple metasurface layers that enable signal processing directly in the wave domain. Moreover,…

Signal Processing · Electrical Eng. & Systems 2025-11-11 Ahmed Magbool , Vaibhav Kumar , Marco Di Renzo , Mark F. Flanagan

In traditional optical imaging systems, the spatial resolution is limited by the physics of diffraction, which acts as a low-pass filter. The information on sub-wavelength features is carried by evanescent waves, never reaching the camera,…

Optics · Physics 2018-12-13 Oren Solomon , Yonina C. Eldar , Maor Mutzafi , Mordechai Segev

The revolutionary technology of \emph{Stacked Intelligent Metasurfaces (SIM)} has been recently shown to be capable of carrying out advanced signal processing directly in the native electromagnetic (EM) wave domain. An SIM is fabricated by…

Information Theory · Computer Science 2023-05-16 Jiancheng An , Chao Xu , Derrick Wing Kwan Ng , George C. Alexandropoulos , Chongwen Huang , Chau Yuen , Lajos Hanzo

Fluorescence lifetime imaging microscopy (FLIM) is an important technique to understand the chemical micro-environment in cells and tissues since it provides additional contrast compared to conventional fluorescence imaging. When two…

Image and Video Processing · Electrical Eng. & Systems 2022-01-19 Varun Mannam , Xiaotong Yuan , Scott Howard

When one captures images in low-light conditions, the images often suffer from low visibility. This poor quality may significantly degrade the performance of many computer vision and multimedia algorithms that are primarily designed for…

Computer Vision and Pattern Recognition · Computer Science 2016-07-26 Xiaojie Guo

The diffraction of light imposes a fundamental limit on the resolution of light microscopes. This limit can be circumvented by creating and exploiting independent behaviors of the sample at length scales below the diffraction limit. In…

Biological Physics · Physics 2024-06-19 Mohamadreza Fazel , Michael J. Wester

Despite super-resolution fluorescence blinking microscopes break the diffraction limit, the intense phototoxic illumination and long-term image sequences thus far still pose to major challenges in visualizing live-organisms. Here, we…

Poor lighting conditions significantly impact image quality, posing substantial challenges for image editing and visualization. Many existing enhancement methods aim at proposing complex models while neglecting the intrinsic information…

Computer Vision and Pattern Recognition · Computer Science 2026-05-11 Xuanshuo Fu , Lei Kang , Javier Vazquez-Corral

Stacked intelligent metasurfaces (SIMs) have recently emerged as a key enabler for realizing electromagnetic wave-domain signal processing in next-generation wireless networks. However, practical SIM implementations often suffer from…

Signal Processing · Electrical Eng. & Systems 2026-03-10 Xing Jia , Hao Liu , Haoxian Niu , Jinbao Li , Xiangyu Ding , Lu Gan

The resolution of optical imaging devices is ultimately limited by the diffraction of light. To circumvent this limit, modern super-resolution microscopy techniques employ active interaction with the object by exploiting its optical…

Optics · Physics 2022-01-05 A. A. Pushkina , G. Maltese , J. I. Costa-Filho , P. Patel , A. I. Lvovsky

We leverage deep learning techniques to jointly denoise and super-resolve biomedical images acquired with fluorescence microscopy. We develop a deep learning algorithm based on the networks and method described in the recent W2S paper to…

Image and Video Processing · Electrical Eng. & Systems 2020-04-24 Martin Chatton

Super-resolved far-field microscopy has emerged as a powerful tool for investigating the structure of objects with resolution well below the diffraction limit of light. Nearly all super-resolution imaging techniques reported to date rely on…

We present a simple and compact approach of structured illumination microscopy by using three $2\times2$ fiber couplers and one $1\times4$ MEMS optics switch. One uniform and three fringe illumination patterns were produced by placing seven…

Optics · Physics 2019-12-18 Shiming Hu , Wenwen Liu , Junyao Jie , Yizheng Huang , Qingquan Wei , Manqing Tan , Yude Yu

We propose to use intensity correlation microscopy in combination with structured illumination to image quantum emitters that exhibit antibunching with a spatial resolution reaching far beyond the Rayleigh limit. Combining intensity…

An interferometric fluorescent microscope and a novel theoretic image reconstruction approach were developed and used to obtain super-resolution images of live biological samples and to enable dynamic real time tracking. The tracking…

Intelligent metasurfaces have demonstrated great promise in revolutionizing wireless communications. One notable example is the two-dimensional (2D) programmable metasurface, which is also known as reconfigurable intelligent surfaces (RIS)…

Information Theory · Computer Science 2025-05-19 Jiancheng An , Mérouane Debbah , Tie Jun Cui , Zhi Ning Chen , Chau Yuen

Fluorescence lifetime imaging microscopy (FLIM) is a powerful technique in biomedical research that uses the fluorophore decay rate to provide additional contrast in fluorescence microscopy. However, at present, the calculation, analysis,…

Image and Video Processing · Electrical Eng. & Systems 2021-06-09 Varun Mannam , Yide Zhang , Xiaotong Yuan , Cara Ravasio , Scott S. Howard

While single-image super-resolution (SISR) has attracted substantial interest in recent years, the proposed approaches are limited to learning image priors in order to add high frequency details. In contrast, multi-frame super-resolution…

Computer Vision and Pattern Recognition · Computer Science 2021-04-07 Goutam Bhat , Martin Danelljan , Luc Van Gool , Radu Timofte