26 papers · ranked by Valyu relevance
Esley Torres García, Raúl Pinto Cámara, Alejandro Linares, Damián Martínez + 22 more
Mean-Shift Super Resolution (MSSR) is a principle based on the Mean Shift theory that improves the spatial resolution in fluorescence images beyond the diffraction limit. MSSR works on low- and high-density fluorophore images, is not limited by the architecture of the detector (EM-CCD, sCMOS, or photomultiplier-based…
Mollie Brown, Shannan Foylan, Liam M. Rooney, Gwyn W. Gould + 1 more
Super-resolution microscopy overcomes the diffraction limit of light to achieve higher spatial resolutions than are typically available when using light microscopy techniques. However, these methods are usually restricted to imaging a very small field of view (FOV). Here, we have applied one of these super-resolution…
Marc Offroy, Myriam Moreau, Sophie Sobanska, Peyman Milanfar + 1 more
'Ludovic Duponchel'] The increasing interest in nanoscience in many research fields like physics, chemistry, and biology, including the environmental fate of the produced nano-objects, requires instrumental improvements to address the sub-micrometric analysis challenges. The originality of our approach is to use both…
Edward Y. Sheffield
In some super-resolution techniques, adjacent points are illuminated at different times. Thereby, their locations and light intensities can be detected even if the images are very blurred due to diffraction. According to conventional theories, the points’ inner details cannot be recovered because the images’ high…
Siân Culley, David Albrecht, Caron Jacobs, Pedro Matos Pereira + 3 more
Most super-resolution microscopy methods depend on steps that contribute to the formation of image artefacts. Here we present NanoJ-SQUIRREL, an ImageJ-based analytical approach providing a quantitative assessment of super-resolution image quality. By comparing diffraction-limited images and super-resolution…
Sergey A. Alexandrov, James McGrath, Hrebesh Subhash, Francesca Boccafoschi + 2 more
'Francesca Boccafoschi' 'Cinzia Giannini' 'Martin Leahy'] Progress in the emerging areas of science and technology, such as bio- and nano-technologies, depends on development of corresponding techniques for imaging and probing the structures with high resolution. Recently, the far field diffraction resolution limit in…
Gabby Litterio, Juan-David Lizarazo-Ferro, Pedro Felzenszwalb, Rashid Zia
'Rashid Zia'] Abstract—We consider the limits of super-resolution using imaging constraints. Due to various theoretical and practical limitations, reconstruction-based methods have been largely restricted to small increases in resolution. In addition, motion-blur is usually seen as a nuisance that impedes…
Wojciech Czaja, James M. Murphy, Daniel H. Weinberg
—We develop an algorithm for single-image superresolution of remotely sensed data, based on the discrete shearlet transform. The shearlet transform extracts directional features of signals, and is known to provide near-optimally sparse representations for a broad class of images. This often leads to superior…
Susan Cox
Over the last twenty years super-resolution fluorescence microscopy has gone from proof-of-concept experiments to commercial systems being available in many labs, improving the resolution achievable by up to a factor of 10 or more. There are three major approaches to super-resolution, stimulated emission depletion…
Tianjie Yang, Yaoru Luo, Wei Ji, Ge Yang
Biological super-resolution microscopy is a new generation of imaging techniques that overcome the ~200 nm diffraction limit of conventional light microscopy in spatial resolution. By providing novel spatial or spatiotemporal information on biological processes at nanometer resolution with molecular specificity, it…
Hongda Wang, Yair Rivenson, Yiyin Jin, Zhensong Wei + 4 more
We present a deep learning-based method for achieving super-resolution in fluorescence microscopy. This data-driven approach does not require any numerical models of the imaging process or the estimation of a point spread function, and is solely based on training a generative adversarial network, which statistically…
Eric A. Shelden, Zachary T. Colburn, Jonathan C.R. Jones
Super resolution imaging is becoming an increasingly important tool in the arsenal of methods available to cell biologists. In recognition of its potential, the Nobel Prize for chemistry was awarded to three investigators involved in the development of super resolution imaging methods in 2014. The availability of…
John Bechhoefer
I explain what is, what is not, and what is only sort of superresolution microscopy. I discuss optical resolution, first in terms of diffraction theory, then in terms of linear systems theory, and finally in terms of techniques that use prior information, nonlinearity, and other tricks to improve performance. The…
James N. Caron
Image Phase Alignment Super-Sampling (ImPASS) is a computational imaging algorithm for converting a sequence of displaced low-resolution images into a single high-resolution image. The method consists of a unique combination of Phase Correlation image registration and SeDDaRA blind deconvolution. The method has…
Sapan Naik, Nikunj Patel
Recently single image super resolution is very important research area to generate high-resolution image from given low-resolution image. Algorithms of single image resolution are mainly based on wavelet domain and spatial domain. Filter's support to model the regularity of natural images is exploited in wavelet domain…
Wenbo Jiang, Jingchun Wang, Yidi Yang, Yun Bu + 1 more
Conventional optical microscopes are only able to resolve objects down to a size of approximately 200 nm due to optical diffraction limits. The rapid development of nanotechnology has increased the demand for greater imaging resolution, with a need to break through those diffraction limits. Among super-resolution…
Zengbo Wang, Boris Luk‘yanchuk
Recently, imaging by microspheres and dielectric particle-lenses emerged as a simple solution to obtaining super-resolution images of nanoscale devices and structures. Calibrated resolution of ~λ/6 - λ/8 has been demonstrated, making it possible to directly visualize 15-50 nm scale objects under a white light…
Hui Sun, Hao Luo, Feifei Wang, Qingjiu Chen + 8 more
'Xiaoduo Wang' 'Haibo Yu' 'Guanglie Zhang' 'Lianqing Liu' 'Jianping Wang' 'Dapeng Wu' 'Wen J. Li'] Scanning electron microscopy (SEM) is indispensable in diverse applications ranging from microelectronics to food processing because it provides large depth-of-field images with a resolution beyond the optical diffraction…
Sun Zhenlei
Image super-resolution reconstruction, in short, is to restore some not too clear images, so that the image is more convenient to identify. It is generally used in intelligent surveillance systems and medical imaging systems in hospitals. This kind of technology is applied in many traditional algorithms. Today, the…
Authors not listed
Super-resolution imaging techniques that overcome the diffraction limit of light have gained wide popularity for visual-izing cellular structures with nanometric resolution. Although fluorogenic spirocyclization-structural rhodamine dyes remain the premier type of small-molecule fluorophore for super-resolution imaging…
Yide Zhang, Ufuk Yilmaz, Gustavo Vinicius Bassi Lukasievicz, Liam O’Faolain + 2 more
Atomic force microscopy-infrared spectroscopy (AFM-IR) is a photothermal scanning probe technique that combines nanoscale spatial resolution with the chemical analysis capability of mid-infrared spectroscopy. Using this hybrid technique, chemical identification down to the single molecule level has been demonstrated.…
Yide Zhang, Ufuk Yilmaz, Liam O’Faolain, Bernhard Lendl + 1 more
Atomic force microscopy-infrared spectroscopy (AFM-IR) is a photothermal scanning probe technique that combines nanoscale spatial resolution with the chemical analysis capability of mid-infrared spectroscopy. Using this hybrid technique, chemical identification down to the single molecule level has been demonstrated.…
Authors not listed
Hyperstructures and their hierarchical extensions—SuperHyperStructures—provide a versatile algebraic language for modeling multi-level and interdependent systems [1,2]. In materials and chemical sciences, structural descriptions naturally span a broad spectrum of characteristic length scales, commonly organized as…
Jürgen Behr, Timm Michel, Maya Giridhar, Santra Santhosh + 11 more
Large- to ultra-large-scale synthesis of nucleic acids is becoming an increasingly important tool for understanding and manipulating biological systems, as well as for developing new technologies based on engineered biological materials, including DNA-based nanofabrication, aptamers and writing digital data at the…
Niko Vlahakis, Songrong Qu, Logan Richards, Lygia Silva deMoraes + 3 more
Electron counting helped realize the resolution revolution in single particle cryoEM and is now accelerating the determination of MicroED/3DED structures. Its advantages are best demonstrated by new direct electron detectors capable of fast (kilohertz) event-based electron counting (EBEC). This strategy minimizes the…
Authors not listed
The shrinking of device nodes increases the demand for deposition processes to seamlessly fill nanometer-scale features. Despite the precision of atomic layer deposition (ALD), it cannot deposit in a V-shaped fashion, characteristic of superconformal thin film deposition. We propose a strategy for superconformal ALD by…