Results 81 to 90 of about 5,613 (231)
Autofocused 3D Classification of Cryoelectron Subtomograms [PDF]
Classification of subtomograms obtained by cryoelectron tomography (cryo-ET) is a powerful approach to study the conformational landscapes of macromolecular complexes in situ. Major challenges in subtomogram classification are the low signal-to-noise ratio (SNR) of cryo-tomograms, their incomplete angular sampling, the unknown number of classes and the
Chen, Y. +4 more
openaire +3 more sources
Deep learning in computational microscopy [PDF]
We propose to use deep convolutional neural networks (DCNNs) to perform 2D and 3D computational imaging. Specifically, we investigate three different applications. We first try to solve the 3D inverse scattering problem based on learning a huge number of
Nehmetallah, George +2 more
core +1 more source
Interactions Enhance Ramp Reversal Memory in Locally Phase Separated Materials
Ramp‐reversal memory (RRM) can be encoded in metal–insulator transition materials by repeatedly driving them partway through the transition. We develop an interacting model with quenched disorder and defect motion that reproduces experimental hysteresis and memory peaking at the inflection point, and predicts enhancement of memory with interactions. We
Y. Sun +6 more
wiley +1 more source
Sorting rare cells from heterogeneous mixtures makes a significant contribution to biological research and medical treatment. However, the performances of traditional methods are limited due to the time-consuming preparation, poor purity, and recovery ...
Huaping Wang +7 more
doaj +1 more source
Controlling the Abrupt Autofocusing of Circular Airy Vortex Beam via Uniaxial Crystal
The propagation of many kinds of structured light beams in uniaxial crystal has been investigated. However, the investigation of the evolution of these structured light beams after the uniaxial crystal is lacking. In this paper, an evolution formula of a
Houquan Liu +5 more
doaj +1 more source
Retrospective correction of Rigid and Non-Rigid MR motion artifacts using GANs
Motion artifacts are a primary source of magnetic resonance (MR) image quality deterioration with strong repercussions on diagnostic performance. Currently, MR motion correction is carried out either prospectively, with the help of motion tracking ...
Armanious, Karim +4 more
core +1 more source
ABSTRACT Three‐dimensional (3D) printing has revolutionized manufacturing by enabling the rapid fabrication of complex structures, yet conventional 3D techniques remain constrained by inherent limitations in resolution, speed, and multi‐material integration.
Guillermo Ramirez‐Alvarado +1 more
wiley +1 more source
Pipelined digital SAR azimuth correlator using hybrid FFT-transversal filter [PDF]
A synthetic aperture radar system (SAR) having a range correlator is provided with a hybrid azimuth correlator which utilizes a block-pipe-lined fast Fourier transform (FFT).
Liu, K. Y., Wu, C.
core +1 more source
An augmented Lagrangian method for autofocused compressed SAR imaging [PDF]
We present an autofocus algorithm for Compressed SAR Imaging. The technique estimates and corrects for 1-D phase errors in the phase history domain, based on prior knowledge that the reflectivity field is sparse, as in the case of strong scatterers ...
Cetin, Mujdat +5 more
core +1 more source
ABSTRACT Introduction The clinical diagnosis of hematological diseases depends on the differential count of nucleated cells on the bone marrow (BM) smears, and an artificial intelligence (AI)‐based system was applied to automatically classify BM nucleated cells in pediatric hematological disease samples in this study.
Xin He +6 more
wiley +1 more source

