Results 81 to 90 of about 50,323 (284)
A Comparison of Speckle Reduction Techniques in Medical Ultrasound Imaging
Applied Medical Informatics, 2015 Speckle noise is a multiplicative noise that degrades the visual evaluation in ultrasound imaging. In addition, it limits the efficient application of intelligent image processing algorithms, such as segmentation techniques. Thus, speckle noise reduction
Cristina STOLOJESCU-CRISAN
doaj
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
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
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 in direct-detection lidar systems [PDF]
The speckle noise is evaluated from some typical lidar systems. The governing equations are summarized. The mutual intensity function of the speckle pattern is calculated in terms of the laser radiation modes.
Gardner, C. S., Mecherle, G. S.
core +1 more source
Learning a Dilated Residual Network for SAR Image Despeckling
, 2018 In this paper, to break the limit of the traditional linear models for synthetic aperture radar (SAR) image despeckling, we propose a novel deep learning approach by learning a non-linear end-to-end mapping between the noisy and clean SAR images with a ...
Li, Jie +4 more
core +2 more sources
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
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
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Guided patch-wise nonlocal SAR despeckling
, 2018 We propose a new method for SAR image despeckling which leverages information drawn from co-registered optical imagery. Filtering is performed by plain patch-wise nonlocal means, operating exclusively on SAR data.
Cozzolino, Davide +4 more
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Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives
Advanced Materials, EarlyView.Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi +4 more
wiley +1 more source