Results 101 to 110 of about 7,799,574 (379)
Mapping Hsp104 interactions using cross‐linking mass spectrometry
FEBS Open Bio, EarlyView.This study examines how cross‐linking mass spectrometry can be utilized to analyze ATP‐induced conformational changes in Hsp104 and its interactions with substrates. We developed an analytical pipeline to distinguish between intra‐ and inter‐subunit contacts within the hexameric homo‐oligomer and discovered contacts between Hsp104 and a selected ...
Kinga Westphal +3 more
wiley +1 more source
, 2017 As the world's largest radio telescope, the Square Kilometer Array (SKA) will provide radio interferometric data with unprecedented detail. Image reconstruction algorithms for radio interferometry are challenged to scale well with TeraByte image sizes ...
carrillo +8 more
core +1 more source
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction [PDF]
arXiv, 2023 Reconstructing an image from noisy and incomplete measurements is a central task in several image processing applications. In recent years, state-of-the-art reconstruction methods have been developed based on recent advances in deep learning. Especially for highly underdetermined problems, maintaining data consistency is a key goal.
arxiv
Efficient holoscopy image reconstruction
Optics Express, 2012 Holoscopy is a tomographic imaging technique that combines digital holography and Fourier-domain optical coherence tomography (OCT) to gain tomograms with diffraction limited resolution and uniform sensitivity over several Rayleigh lengths. The lateral image information is calculated from the spatial interference pattern formed by light scattered from ...
Dierck Hillmann +4 more
openaire +3 more sources
HDR image reconstruction from a single exposure using deep CNNs [PDF]
ACM Transactions on Graphics, 2017 Camera sensors can only capture a limited range of luminance simultaneously, and in order to create high dynamic range (HDR) images a set of different exposures are typically combined.
Gabriel Eilertsen +4 more
semanticscholar +1 more source
Compact Model Representation for 3D Reconstruction
, 2017 3D reconstruction from 2D images is a central problem in computer vision. Recent works have been focusing on reconstruction directly from a single image.
Eriksson, Anders +5 more
core +2 more sources
Shape Reconstruction from Thoracoscopic Images using Self-supervised Virtual Learning [PDF]
arXiv, 2023 Intraoperative shape reconstruction of organs from endoscopic camera images is a complex yet indispensable technique for image-guided surgery. To address the uncertainty in reconstructing entire shapes from single-viewpoint occluded images, we propose a framework for generative virtual learning of shape reconstruction using image translation with ...
arxiv
An Online Plug-and-Play Algorithm for Regularized Image Reconstruction [PDF]
IEEE Transactions on Computational Imaging, 2018 Plug-and-play priors (PnP) is a powerful framework for regularizing imaging inverse problems by using advanced denoisers within an iterative algorithm. Recent experimental evidence suggests that PnP algorithms achieve the state-of-the-art performance in ...
Yu Sun, B. Wohlberg, U. Kamilov
semanticscholar +1 more source
, 2007 The reconstruction of images from a small number of projections using the maximum-entropy method (MEM) with the Shannon entropy is considered. MEM provides higher-quality image reconstruction for sources with extended components than the Hogbom CLEAN ...
A. T. Baikova +17 more
core +1 more source
Single-Pixel Image Reconstruction Based on Block Compressive Sensing and Deep Learning [PDF]
arXiv, 2022 Single-pixel imaging (SPI) is a novel imaging technique whose working principle is based on the compressive sensing (CS) theory. In SPI, data is obtained through a series of compressive measurements and the corresponding image is reconstructed. Typically, the reconstruction algorithm such as basis pursuit relies on the sparsity assumption in images ...
arxiv