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We present a new approach to super-resolution optical imaging, based on structured illumination in hyperbolic media. The proposed system allows for planar geometry, has unlimited field of view, and is robust with respect to optical noise…

Optics · Physics 2016-02-16 Evgenii Narimanov

In this paper, a method for increasing the temporal resolution of a temporal imaging system has been developed. Analogously to the conventional spatial imaging systems in which resolution limit is due to the finite aperture of the lens, in…

Optics · Physics 2020-04-22 Farshid Shateri , Mehdi Hosseinalizadeh , Zahra Kavehvash

Intensity correlation microscopy (ICM), which is prominently known through antibunching microscopy or super-resolution optical fluctuation imaging (SOFI), provides superresolution through a correlation analysis of antibunching of…

Optics · Physics 2018-10-08 Anton Classen , Joachim von Zanthier , Girish S. Agarwal

A method is proposed for assessing the temporal resolution of Structured Illumination Microscopy (SIM), by tracking the amplitude of different spatial frequency components over time, and comparing them to a temporally-oscillating…

Optics · Physics 2020-08-05 Abderrahim Boualam , Christopher J Rowlands

We present experimental demonstration of tilt-mirror assisted transmission structured illumination microscopy (tSIM) that offers a large field of view super resolution imaging. An assembly of custom-designed tilt-mirrors are employed as the…

The recent work by Chmyrov et al. (Nature Methods 2013) presents a capstone for the current major super-resolution microscopy techniques. In optical super-resolution microscopy, two pathways are commonly taken: targeted illumination…

Optics · Physics 2015-01-07 Xuanze Chen , Peng Xi

Stereo Imaging technology integration into medical diagnostics and surgeries brings a great revolution in the field of medical sciences. Now, surgeons and physicians have better insight into the anatomy of patients' organs. Like other…

Image and Video Processing · Electrical Eng. & Systems 2024-09-01 Mansoor Hayat , Supavadee Armvith , Titipat Achakulvisut

Super-resolution Structured Illumination Microscopy (SR-SIM) enables fluorescence microscopy beyond the diffraction limit at high frame rates. Compared to other super-resolution microscopy techniques, the low photon fluence used in SR-SIM…

Retinal implants aim to restore functional vision despite photoreceptor degeneration, yet are fundamentally constrained by low resolution electrode arrays and patient-specific perceptual distortions. Most deployed encoders rely on…

Image and Video Processing · Electrical Eng. & Systems 2026-02-12 Henning Konermann , Yuli Wu , Emil Mededovic , Volkmar Schulz , Peter Walter , Johannes Stegmaier

We proposed a method to achieve superresolved optical imaging without beating the diffraction limit of light. This is achieved by magnifying the ideal optical image of the object through higher-order spatial frequency generation while…

Optics · Physics 2016-08-08 Zhixiang Li , Jianji Liu , Guoquan Zhang

Masked Image Modeling (MIM) is a promising self-supervised learning approach that enables learning from unlabeled images. Despite its recent success, learning good representations through MIM remains challenging because it requires…

Computer Vision and Pattern Recognition · Computer Science 2024-02-28 Amir Bar , Florian Bordes , Assaf Shocher , Mahmoud Assran , Pascal Vincent , Nicolas Ballas , Trevor Darrell , Amir Globerson , Yann LeCun

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…

Structured illumination microscopy (SIM) is a wide-field super-resolution technique normally limited to roughly twice the diffraction-limited resolution ($\approx 100$--$200$~nm). Surpassing this bound is a classic ill-posed inverse…

Point-scanning microscopy approaches are transforming super-resolution imaging. Despite achieving parallel high-speed imaging using multifocal techniques, efficient multi-color capability with high-quality illumination is currently lacking.…

Optics · Physics 2023-03-14 Ning Xu , Sarah E. Bohndiek , Zexing Li , Cilong Zhang , Qiaofeng Tan

We present an ultra-fast, precise, parameter-free method, which we term Deep-STORM, for obtaining super-resolution images from stochastically-blinking emitters, such as fluorescent molecules used for localization microscopy. Deep-STORM uses…

Optics · Physics 2018-05-03 Elias Nehme , Lucien E. Weiss , Tomer Michaeli , Yoav Shechtman

Confocal laser-scanning microscopy (CLSM) is one of the most popular optical architectures for fluorescence imaging. In CLSM, a focused laser beam excites the fluorescence emission from a specific specimen position. Some actuators scan the…

Image and Video Processing · Electrical Eng. & Systems 2023-05-10 Alessandro Zunino , Marco Castello , Giuseppe Vicidomini

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…

Sub-diffraction resolution, gentle sample illumination, and the possibility to image in multiple colors make Structured Illumination Microscopy (SIM) an imaging technique which is particularly well suited for live cell observations. Here,…

Scanning transmission X-ray microscopy (STXM) is a nanoscale imaging technique that can utilize several powerful contrast mechanisms for the quantitative mapping of chemical and physical materials properties. Spatial resolutions down to…

Instrumentation and Detectors · Physics 2026-05-27 Simone Finizio , Benjamin Watts , Benedikt Rösner , Tim A. Butcher , Sebastian Wintz , Markus Weigand , Jörg Raabe

Robustness and generalizability in medical image segmentation are often hindered by scarcity and limited diversity of training data, which stands in contrast to the variability encountered during inference. While conventional strategies --…

Computer Vision and Pattern Recognition · Computer Science 2024-12-18 Yimu Pan , Sitao Zhang , Alison D. Gernand , Jeffery A. Goldstein , James Z. Wang