Results 81 to 90 of about 5,613 (231)

Autofocused 3D Classification of Cryoelectron Subtomograms [PDF]

open access: yesStructure, 2014
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]

open access: yes, 2019
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

open access: yesAdvanced Electronic Materials, Volume 11, Issue 21, December 17, 2025.
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

Three-Dimensional Autofocusing Visual Feedback for Automated Rare Cells Sorting in Fluorescence Microscopy

open access: yesMicromachines, 2019
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

open access: yesPhotonics, 2022
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

open access: yes, 2018
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

Microfluidic‐ and Field‐Assisted 3D Printing: Leveraging Fluidic Control, Electrokinetic Phenomena, and Other Physical Fields to Advance Additive Manufacturing

open access: yesELECTROPHORESIS, Volume 46, Issue 24, Page 1692-1707, December 2025.
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]

open access: yes, 1984
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]

open access: yes, 2015
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

The Application of Artificial Intelligence‐Based Bone Marrow Cell Analysis System in Pediatric Hematological Diseases

open access: yesInternational Journal of Laboratory Hematology, Volume 47, Issue 6, Page 1025-1034, December 2025.
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

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