Results 81 to 90 of about 5,580 (232)
Reflection and refraction of an Airy beam at a dielectric interface [PDF]
Reflection and refraction of a finite-power Airy beam at the interface between two dielectric media are investigated analytically and numerically. The formulation takes into account the paraxial nature of the optical beams to derive convenient field ...
Chremmos, Ioannis +1 more
core +3 more sources
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
The integration of foundation models into computational microscopy revolutionizes biomedical research by enhancing imaging resolution, accelerating data analysis, and enabling real‐time biological interpretation. This systematic review critically examines recent advancements, highlights translational challenges, and discusses the transformative ...
Di Ding +5 more
wiley +1 more source
Three Dimensional Auto-Alignment of the ICSI Pipette
Intracytoplasmic sperm injection (ICSI) is an assisted reproductive technology used in infertility treatment, where a single sperm is selected and immobilized using a glass injection pipette and is inserted directly into the cytoplasm of an oocyte under ...
Ferhat Sadak +2 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
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
Incoherent Digital Holography Empowered by Wavefront and Information Engineering: A Review
Advancements in incoherent digital holography (IDH) have been achieved via wavefront engineering (using spatial light modulators, diffractive optics, and metasurfaces) and information engineering (using compressive sensing and deep learning). This paper presents an overview of IDH with wavefront and information engineering, paving the way toward its ...
Teruyoshi Nobukawa
wiley +1 more source
EXPERIMENTAL KA-BAND GROUND-BASED SAR SYSTEM
An experimental ground-based synthetic aperture radar (GB-SAR) system operating at Ka-band has been developed. The system is designed to be operated from a top a hill or from a building roof, etc. for imaging the underlying ground terrain.
O. O. Bezvesilniy +6 more
doaj +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
Pearcey plasmon: An autofocusing surface wave
In this article, we present a new kind of autofocusing surface plasmonic wave: the Pearcey plasmon. The result shows that the Pearcey plasmon evolves at the silver-air interface in the form of two-dimensional Pearcey plasmon function.
Hongcheng Hu +3 more
doaj +1 more source

