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Fluorescence microscopy is essential in biological and medical research, providing critical insights into cellular structures. However, limited by optical diffraction and background noise, a substantial amount of hidden information is still…

Biological Physics · Physics 2026-04-14 Xiaofeng Zhang , Yongsheng Huang , Jielong Yang , Zhili Wang , Si Chen , Linbo Liu , Xin Ge

In single molecule localisation super-resolution microscopy the need for repeated image capture limits the imaging speed, while the size of fluorescence probes limits the possible theoretical localisation resolution. Here, we demonstrated a…

Single molecule localization microscopy (SMLM) techniques enable imaging biological samples well beyond the diffraction limit of light, but they vary significantly in their spatial and temporal resolutions. High-order statistical analysis…

Biological Physics · Physics 2016-03-15 Shachar Schidorsky , Xiyu Yi , Yair Razvag , Yonatan Golan , Shimon Weiss , Eilon Sherman

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…

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

Super-resolution microscopy has revolutionized optical fluorescence imaging by improving 3D resolution by 1-2 orders of magnitude. While different methods can successfully increase the resolution, all methods share significant differences…

Biological Physics · Physics 2015-01-26 Thomas Pengo , Nicolas Olivier , Suliana Manley

To overcome the physical barriers caused by light diffraction, super-resolution techniques are often applied in fluorescence microscopy. State-of-the-art approaches require specific and often demanding acquisition conditions to achieve…

In fluorescence microscopy, Single Molecule Localization Microscopy (SMLM) techniques aim at localizing with high precision high density fluorescent molecules by stochastically activating and imaging small subsets of blinking emitters.…

Super-resolution localization microscopy is based on determining the positions of individual fluorescent markers in a sample. The major challenge in reaching an ever higher localization precision lies in the limited number of collected…

Optics · Physics 2020-08-05 Daniel Böning , Franz-Ferdinand Wieser , Vahid Sandoghdar

Super-resolution microscopy has catalyzed valuable insights into the sub-cellular, mechanistic details of many different biological processes across a wide range of cell types. Fluorescence polarization spectroscopy tools have also enabled…

Biological Physics · Physics 2023-01-25 Jack W Shepherd , Alex L Payne-Dwyer , Ji-Eun Lee , Aisha Syeda , Mark C Leake

Single-molecule localization fluorescence microscopy constructs super-resolution images by sequential imaging and computational localization of sparsely activated fluorophores. Accurate and efficient fluorophore localization algorithms are…

Image and Video Processing · Electrical Eng. & Systems 2020-07-21 Artur Speiser , Lucas-Raphael Müller , Ulf Matti , Christopher J. Obara , Wesley R. Legant , Jonas Ries , Jakob H. Macke , Srinivas C. Turaga

Single Molecule Localization Microscopy (SMLM) enables the acquisition of high-resolution images by alternating between activation of a sparse subset of fluorescent molecules present in a sample and localization. In this work, the…

Image and Video Processing · Electrical Eng. & Systems 2018-12-17 Arne Bechensteen , Laure Blanc-Féraud , Gilles Aubert

Fluorescence microscopy is a critical tool across various disciplines, from materials science to biomedical research, yet it is limited by the diffraction limit of resolution. Advanced super-resolution techniques such as localization…

Motivated by the importance of optical microscopes to science and engineering, scientists have pondered for centuries how to improve their resolution and the existence of fundamental resolution limits. In recent years, a new class of…

Quantum Physics · Physics 2015-07-28 Mankei Tsang

FRET-based approaches are a unique tool for sensing the immediate surroundings and interactions of (bio)molecules. FRET imaging and FLIM (Fluorescence Lifetime Imaging Microscopy) enable the visualization of the spatial distribution of…

Super-resolution of pointwise sources is of utmost importance in various areas of imaging sciences. Specific instances of this problem arise in single molecule fluorescence, spike sorting in neuroscience, astrophysical imaging, radar…

Optimization and Control · Mathematics 2023-11-17 Clarice Poon , Gabriel Peyré

Diffusion models (DMs) have demonstrated remarkable success in real-world image super-resolution (SR), yet their reliance on time-consuming multi-step sampling largely hinders their practical applications. While recent efforts have…

Computer Vision and Pattern Recognition · Computer Science 2026-05-13 Jiaqi Xu , Wenbo Li , Haoze Sun , Fan Li , Zhixin Wang , Long Peng , Jingjing Ren , Haoran Yang , Xiaowei Hu , Renjing Pei , Pheng-Ann Heng

Fluorescence microscopy has enabled a dramatic development in modern biology by visualizing biological organisms with micrometer scale resolution. However, due to the diffraction limit, sub-micron/nanometer features are difficult to…

Image and Video Processing · Electrical Eng. & Systems 2021-03-10 Varun Mannam , Yide Zhang , Xiaotong Yuan , Scott Howard

Due to the significance of its various applications, source localization has garnered considerable attention as one of the most important means to confront diffusion hazards. Multi-source localization from a single-snapshot observation is…

Machine Learning · Computer Science 2024-03-26 Zonghan Zhang , Zijian Zhang , Zhiqian Chen

Super-resolution is an ill-posed problem, since it allows for multiple predictions for a given low-resolution image. This fundamental fact is largely ignored by state-of-the-art deep learning based approaches. These methods instead train a…

Computer Vision and Pattern Recognition · Computer Science 2020-08-03 Andreas Lugmayr , Martin Danelljan , Luc Van Gool , Radu Timofte
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