Results 51 to 60 of about 41,317 (296)
Hyperspectral compressive wavefront sensing
High Power Laser Science and Engineering, 2023 Abstract Presented is a novel way to combine snapshot compressive imaging and lateral shearing interferometry in order to capture the spatio-spectral phase of an ultrashort laser pulse in a single shot. A deep unrolling algorithm is utilized for snapshot compressive imaging reconstruction due to its parameter efficiency and superior speed relative ...
Sunny Howard +4 more
openaire +4 more sources
FEBS Open Bio, EarlyView.The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik +3 more
wiley +1 more source
Diffusion‐based size determination of solute particles: a method adapted for postsynaptic proteins
FEBS Open Bio, EarlyView.We present a diffusion‐based approach for measuring the size of macromolecules and their complexes, and demonstrate its use on postsynaptic proteins. The method requires fluorescein‐labelled protein samples, a microfluidic device that maintains laminar flow for said samples, a microscope recording the emitted fluorescent signals, and an analytic ...
András László Szabó +7 more
wiley +1 more source
Journal of Open Research Software, 2014 Magni is an open source Python package that embraces compressed sensing and Atomic Force Microscopy (AFM) imaging techniques. It provides AFM-specific functionality for undersampling and reconstructing images from AFM equipment and thereby accelerating ...
Christian Schou Oxvig +4 more
doaj +1 more source
The Journal of Engineering, 2020 For the characteristics of a random distribution and a large number of buses in the power system, the authors introduce distributed compressed sensing to compress and reconstruct the power quality data. They built a distributed IEEE14 bus system in PSCAD.
Huanan Yu, Honghao Yu
doaj +1 more source
Blockchain-Watermarking for Compressive Sensed Images
IEEE Access, 2021 With the application of multimedia big data, the problems such as information leakage and data tampering have emerged. The security of images which is one of the most typical multimedia has become a major problem facing the large-scale open network ...
Ming Li +5 more
doaj +1 more source
Denoising-Based Turbo Compressed Sensing
IEEE Access, 2017 Turbo compressed sensing (Turbo-CS) is an efficient iterative algorithm for sparse signal recovery with partial orthogonal sensing matrices. In this paper, we extend the Turbo-CS algorithm to solve compressed sensing problems involving a more general ...
Zhipeng Xue, Junjie Ma, Xiaojun Yuan
doaj +1 more source
Distributed Compressive Sensing
, 2009 42 pages, 6 figures.
Michael B. Wakin +4 more
openaire +2 more sources
Advanced Biology, EarlyView.The glomerular filtration barrier (GFB) is the first step of blood filtration by the kidneys. The concerning increase of kidney diseases makes the development of new models essential. In this context, microphysiological glomerular filtration barriers focus on closely reproducing the physiological architecture of the in vivo GFB: podocytes, glomerular ...
Manon Miran +5 more
wiley +1 more source
Overview of Compressed Sensing: Sensing Model, Reconstruction Algorithm, and Its Applications
Applied Sciences, 2020 With the development of intelligent networks such as the Internet of Things, network scales are becoming increasingly larger, and network environments increasingly complex, which brings a great challenge to network communication.
Lixiang Li +5 more
doaj +1 more source