Results 51 to 60 of about 2,065,913 (297)
Measuring true localization accuracy in super resolution microscopy with DNA-origami nanostructures
New Journal of Physics, 2017 A common method to assess the performance of (super resolution) microscopes is to use the localization precision of emitters as an estimate for the achieved resolution.
Matthias Reuss +5 more
doaj +1 more source
Degradation-Oriented Adaptive Network for Blind Super-Resolution
, 2022 Most of the super-resolution methods based on deep neural networks use a fixed image degradation model. However, when the real image degradation is inconsistent with the model assumptions, the performance of the network will be severely reduced. To address this issue, we propose a degradation-oriented adaptive network (DOANet), which can be used to ...
Shuo Wang, Lifang Chen
openaire +2 more sources
Establishing Three-Dimensional Super-Resolution Microscopy Methods For Quantifying Intracellular Nanoparticle Distribution [PDF]
, 2023 The systemic administration of nanomedicine formulations has been described as a promising treatment option for solid tumors at both preclinical and clinical stages.
Sheth, Vinit
core
Single-shot super-resolution quantitative phase imaging allowed by coherence gate shaping
, 2023 Biomedical and metasurface researchers repeatedly reach for quantitative phase imaging (QPI) as their primary imaging technique due to its high-throughput, label-free, quantitative nature. So far, very little progress has been made toward achieving super-
Petr Bouchal +5 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
Deep Blind Video Super-resolution [PDF]
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 Jinshan Pan +4 more
openaire +2 more sources
Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane +10 more
wiley +1 more source
Image super-resolution via sparse representation [PDF]
, 2010 This thesis presents a new approach to single-image super-resolution (SR), based on sparse signal recovery. Research on image statistics suggests that image patches can be well represented as a sparse linear combination of elements from an appropriately ...
Yang, Jianchao
core
Image Super-Resolution with Adversarial Learning [PDF]
, 2022 Single-image super-resolution refers to the problem of generating a high-resolution image from a low-resolution one. In this work we address to the problem of single-image super-resolution of degraded low-resolution images.
Boem, Davide
core
Claustrum Involvement in New Onset Refractory Status Epilepticus: A Systematic Review
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT The claustrum sign is a distinctive neuroimaging finding characterized by bilateral T2/FLAIR hyperintensity of the claustrum, one of the most interconnected regions of the human brain. It was first described in new‐onset refractory status epilepticus (NORSE) and febrile infection–related epilepsy syndrome (FIRES).
Margherita Burani +5 more
wiley +1 more source