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Super-resolution imaging - Wikipedia
Super-resolution imaging (SR) is a class of techniques that improve the resolution of an imaging system. In optical SR the diffraction limit of systems is transcended, while in geometrical SR the resolution of digital imaging sensors is enhanced.
What is Super-Resolution Microscopy? STED, SIM and STORM …
2023年2月8日 · Super-resolution microscopy (SRM) encompasses multiple techniques that achieve higher resolution than traditional light microscopy. The resolution of conventional light microscopy is limited to around 200 nm due to the diffraction of light.
Visualizing and discovering cellular structures with super-resolution ...
2018年8月31日 · Super-resolution imaging has enhanced our ability to extract dynamic information of cellular structures, allowing the mobility of biomolecules and the shape or structural dynamics of molecular complexes and organelles to be tracked with higher accuracy.
Super-resolution microscopy demystified - Nature Cell Biology
2019年1月2日 · Super-resolution microscopy (SRM) bypasses the diffraction limit, a physical barrier that restricts the optical resolution to roughly 250 nm and was previously thought to be impenetrable.
Optical super-resolution imaging: A review and perspective
2024年12月1日 · We delve into the fascinating world of super-resolution imaging, specifically focusing on a technique known as Multi-Harmonic Structured Illumination-Based Optical Diffraction Tomography (MHSI-ODT).
Breaking the Diffraction Barrier: Super-Resolution Imaging of …
2010年12月23日 · In this Primer, we review the technological advances in the burgeoning field of “super-resolution fluorescence microscopy.” Then, we describe the application of these techniques to various areas of biology, which have quickly demonstrated the great promise of this exciting new area of bioimaging.
Seeing beyond the limit: A guide to choosing the right super-resolution ...
Fluctuation-based techniques such as Super-resolution Optical Fluctuation Imaging (SOFI) and Super-Resolution Radial Fluctuations take advantage of natural variations in the intensity of light emitted by fluorophores as they transition through fluorescent and nonfluorescent states (Fig. 2D).
A comprehensive review of deep learning-based single image super-resolution
Image super-resolution (SR) is one of the vital image processing methods that improve the resolution of an image in the field of computer vision. In the last two decades, significant progress has been made in the field of super-resolution, especially by utilizing deep learning methods.
Advances in Super-resolution Stimulated Raman Scattering …
2024年10月4日 · Several fundamental approaches to achieving super-resolution SRS imaging have been reported, including optical engineering strategies, expansion microscopy, deconvolution image analysis, and photoswitchable SRS reporters as …
Light Microscopy Core | University of Kentucky Research
This system offers fast imaging with reduced pinhole crosstalk—ideal for live cell imaging and thicker specimens. The addition of super-resolution imaging allows researchers to surpass the diffraction limit, achieving resolution down to 120 nm.