Results 71 to 80 of about 2,324,354 (261)
Super-Resolution Imaging via Angular Magnification
, 2023 The far-field resolution of optical imaging systems is restricted by the Abbe diffraction limit, a direct result of the wave nature of light. One successful technological approach to circumventing this limit is to reduce the effective size of a point ...
Dingpeng Liao (11167579) +9 more
core +1 more source
SUPER-RESOLUTION OF MULTISPECTRAL IMAGES [PDF]
Modelling and Simulation in Science, 2007 In this paper we propose and analyze a globally and locally adaptive super-resolution Bayesian methodology for pansharpening of multispectral images. The methodology incorporates prior knowledge on the expected characteristics of the multispectral images uses the sensor characteristics to model the observation process of both panchromatic and ...
Miguel Vega +3 more
openaire +1 more source
Liver organoids: modelling complexity in homeostasis and disease
FEBS Letters, EarlyView.Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley +1 more source
SUPER-RESOLUTION IN OPTICAL SYSTEMS [PDF]
, 2017 "Imaging is a fundamental piece for distinct knowledge areas: object recognition, monitoring of diseases, observation of biological tissues area, astronomy, etc. In fact, many clinical advances have been through imaging techniques.
Ninfa del C. Lozano-Rincón
core
Unravelling the structure of viral replication complexes at super-resolution [PDF]
, 2013 This work was supported by Biotechnology and Biomedical Sciences Research Council grant BB/H018719/1During infection, many RNA viruses produce characteristic inclusion bodies that contain both viral and host components.
Karl J. Oparka +13 more
core +1 more source
Optimizing and Learning for Super-resolution [PDF]
Procedings of the British Machine Vision Conference 2006, 2006 In multiple-image super-resolution, a high resolution image is estimated from a number of lower-resolution images. This involves computing the parameters of a generative imaging model (such as geometric and photometric registration, and blur) and obtaining a MAP estimate by minimizing a cost function including an appropriate prior.
Pickup, LC, Roberts, SJ, Zisserman, A
openaire +2 more sources
Deep Learning Algorithms in Super-Resolution Images
تحلیل مدارها، داده ها و سامانه ها, 2023 Image super-resolution is one of the important image processing processes to increase the resolution of images and videos. In recent years, methods based on deep neural networks for super-resolution have seen significant progress.
Bahar Ghaderi, Hamid Azad
doaj
FEBS Letters, EarlyView.Obesity raises blood levels of PAI‐1, a protein linked to metabolic dysfunction‐associated steatotic liver disease in people with obesity. In female mice fed a high‐fat diet, partially lowering PAI‐1 led to smaller subcutaneous fat cells and lower liver cholesterol, without changing body weight or insulin sensitivity.
Claudia E. Ramirez Bustamante +10 more
wiley +1 more source
Super-resolution MIMO radar [PDF]
2016 IEEE International Symposium on Information Theory (ISIT), 2016 A multiple input, multiple output (MIMO) radar emits probings signals with multiple transmit antennas and records the reflections from targets with multiple receive antennas. Estimating the relative angles, delays, and Doppler shifts from the received signals allows to determine the locations and velocities of the targets.
openaire +3 more sources
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
FEBS Letters, EarlyView.EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source