Results 61 to 70 of about 13,144 (256)
Fully Wireless and Flexible Valves for Multiplexed and Prolonged Intravesical Liquid Release
Advanced Healthcare Materials, EarlyView.A fundamental mechanism for the simultaneous control of multiple magnetic valves is reported in a miniature soft robotic patch for intravesical drug delivery, enabling fully wireless and programmable liquid release. Integrated with a bioadhesive interface and induction‐coupling‐based liquid volume sensing, the soft robotic patch is promising to enable ...
Boyang Xiao +5 more
wiley +1 more source
A method of speckle noise reduction for SAR data
International Journal of Remote Sensing, 1995 Synthetic Aperture Radar (SAR) is a high resolution active microwave sensor, but its processed data have nuisance noise called speckle noise which degrades image quality. This noise is conspicuous when the data are processed in small number of looks. In this paper, a new method for speckle reduction, the CST filter, is proposed.
Wakabayashi, Hiroyuki, Arai, Kohei
openaire +2 more sources
Plasmonic Enhancement of Fluorescence and Protein Dynamics in Living Mammalian Cells
Advanced Materials, EarlyView.This study demonstrates plasmonic enhancement of the function of fluorescent voltage sensing proteins (genetically encoded voltage indicators, (GEVIs), QuasAr6) in live mammalian cells. Coupling to plasmonic nanoparticles does not just increase fluorescence, but influences the protein photocycle, creating a hybrid sensor with its response speed to ...
Marco Locarno +16 more
wiley +1 more source
Applied Sciences, 2019 Speckle is a kind of noise commonly found in ultrasound images (UIs). Although traditional local operation-based methods, such as bilateral filtering, perform well in de-noising normal natural images with suitable parameters, these methods may break ...
Yang Chen +4 more
doaj +1 more source
Speckle Noise Reduction and Image Segmentation Based on a Modified Mean Filter
Computer Assisted Methods in Engineering and Science, 2020 Image segmentation is an essential process in many fields involving digital images. In general, segmentation is the process of dividing the image into objects and background image. Image segmentation is an important step in the object detection process.
P. Arulpandy, M. Trinita Pricilla
doaj +1 more source
Suppression of Speckle Noise by Speckle Pinning in Adaptive Optics
The Astrophysical Journal, 2002 Optical astronomy is increasingly concerned with the detection of faint companions, which may eventually include planetary systems, close to much brighter primary stars. Detection limits are generally set by "speckle noise," random variations in focal plane intensity that result when atmospheric turbulence redistributes the undesirably copious flux of ...
openaire +1 more source
Numerical simulation of speckle noise in laser vibrometry [PDF]
Applied Optics, 2006 The fundamental mechanism by which speckle noise is generated in laser vibrometry before describing a new numerical simulation for prediction of speckle noise level in a real measurement is considered. Factors within the simulation include rate of change of phase within individual speckle transitions, low-pass filtering to match the frequency range of ...
openaire +2 more sources
Advanced Materials, EarlyView.The seminal transformation of a 2D‐COF (SURFCOF‐IMDEA1) into a 2D porous COF (SURFCOF‐IMDEA2) on Au(111) by a sequential C‐C coupling and ladderization triggered by thermal annealing steps at increasing temperatures is reported. Abstract The development of covalent organic frameworks (COFs) is currently a primary objective in materials science, taking ...
Ana Barragán +11 more
wiley +1 more source
Advanced Materials, EarlyView.Transition metal oxy/carbo‐nitrides show great promise as catalysts for sustainable processes. A Mn‐Mo mixed‐metal oxynitride attains remarkable performance for the direct synthesis of acetonitrile, an important commodity chemical, via sequential C─N and C─C coupling from syngas (C1) and ammonia (N1) feedstocks.
M. Elena Martínez‐Monje +7 more
wiley +1 more source
Computational de-noising based on deep learning for phase data in digital holographic interferometry
APL Photonics, 2020 This paper presents a deep-learning-based algorithm dedicated to the processing of speckle noise in phase measurements in digital holographic interferometry.
Silvio Montresor +3 more
doaj +1 more source