We report quantitative determination of elemental distribution in binary compounds with nano meter scale spatial resolution using x-ray Fresnel coherent diffractive imaging (FCDI). We show that the quantitative magnitude and phase values of the x-ray wave exiting an object determined by FCDI can be utilized to obtain full-field atomic density maps of each element independently. The proposed method was demonstrated by reconstructing the density maps of Pt and NiO in a Pt-NiO binary compound with about 18 nm spatial resolution.

Download full-text PDF

Source
http://dx.doi.org/10.1364/OE.22.005528DOI Listing

Publication Analysis

Top Keywords

fresnel coherent
8
coherent diffractive
8
diffractive imaging
8
binary compounds
8
spatial resolution
8
density maps
8
imaging elemental
4
elemental distributions
4
distributions nanoscale
4
nanoscale binary
4

Similar Publications

A single-exposure method for complex amplitude reconstruction in beam quality analysis is proposed, utilizing lens-free coherent amplitude modulation imaging (LF-CAMI). This approach leverages a partially saturated diffraction pattern to reconstruct the complex amplitude of a measured laser beam. The corresponding intensity images near the beam waist along the axial direction are determined directly via the Fresnel diffraction formula.

View Article and Find Full Text PDF

Optoacoustic lenses for lateral sub-optical resolution elasticity imaging.

Photoacoustics

February 2025

Optics and Photonics Group, Faculty of Engineering, University of Nottingham, University Park, Nottingham, NG7 2RD, Nottinghamshire, United Kingdom.

In this paper, we demonstrate for the first time the focusing of gigahertz coherent phonon pulses propagating in water using picosecond ultrasonics and Brillouin light scattering. We achieve this by using planar Fresnel zone plate and concave lenses with different focal lengths. Pump light illuminating the optoacoustic lens generates a focusing acoustic field, and Brillouin scattered probe light allows the acoustic field to be continuously monitored over time.

View Article and Find Full Text PDF

Assessing the impact of spatial coherence on the sinusoidal linear Fresnel zone plate's depth of focus.

Sci Rep

December 2024

Department of Physics, Azarbaijan Shahid Madani University, Tabriz, 53714-161, Iran.

This research examines, using both theory and experimentation, how a light beam's spatial coherence affects a sinusoidal linear Fresnel zone plate's depth of focus. We generate a one-dimensional partially coherent Gaussian Schell-model beam from a coherent laser beam through putting a rotating diffuser near to the common focal plane of two cylindrical lenses in a 2f-system. By adjusting the beam spot size on the diffuser, one may modify the coherence width of the produced beam.

View Article and Find Full Text PDF

The radiation force of a partially coherent self-focusing vortex beam on Rayleigh particles is studied in this paper. According to the generalized Huygens-Fresnel principle and Rayleigh scattering theory, the effects of two main parameters of the beam, namely relative coherence length and non-trivial phase factor, on the self-focusing characteristics and radiation force are respectively researched. We have also conducted a brief analysis of the stability of particle capture using this self-focusing vortex beam.

View Article and Find Full Text PDF

Non-resonant background removal in broadband CARS microscopy using deep-learning algorithms.

Sci Rep

October 2024

Department of Physics, Politecnico di Milano, P.zza Leonardo da Vinci 32, 20133, Milan, Italy.

Article Synopsis
  • Broadband Coherent anti-Stokes Raman (BCARS) microscopy is a fast imaging technique that captures full Raman spectra of biological samples, but the results can be distorted by a non-resonant background (NRB) signal.
  • Traditionally, NRB was removed with complex numerical algorithms, but recent advancements in deep learning have made it possible to automate and speed up this process.
  • The paper reviews existing deep-learning models for NRB removal and introduces two new architectures, finding that CNN + GRU and VECTOR networks offer the best accuracy, while GAN excels in identifying true positive peaks and is suitable for real-time processing.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!