AI Article Synopsis

  • Solid-state systems can have various thermodynamic phases influenced by factors like magnetic fields and strain; however, studying these nanoscale phases is challenging due to the need for high spatial resolution and detailed spectroscopic data.
  • The researchers utilize coherent diffractive imaging spectroscopy (CDIS) to obtain detailed hyperspectral images of vanadium oxide, examining its different phases at the nanoscale.
  • They discover that there are no phase transitions driven by correlations in the material, and highlight that CDIS could advance quantitative study in complex environments where traditional methods fall short.

Article Abstract

Solid-state systems can host a variety of thermodynamic phases that can be controlled with magnetic fields, strain, or laser excitation. Many phases that are believed to exhibit exotic properties only exist on the nanoscale, coexisting with other phases that make them challenging to study, as measurements require both nanometer spatial resolution and spectroscopic information, which are not easily accessible with traditional x-ray spectromicroscopy techniques. Here, we use coherent diffractive imaging spectroscopy (CDIS) to acquire quantitative hyperspectral images of the prototypical quantum material vanadium oxide across the vanadium and oxygen x-ray absorption edges with nanometer-scale resolution. We extract the full complex refractive indices of the monoclinic insulating and rutile conducting phases of VO from a single sample and find no evidence for correlation-driven phase transitions. CDIS will enable quantitative full-field x-ray spectromicroscopy for studying phase separation in time-resolved experiments and other extreme sample environments where other methods cannot operate.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8357230PMC
http://dx.doi.org/10.1126/sciadv.abf1386DOI Listing

Publication Analysis

Top Keywords

quantitative hyperspectral
8
coherent diffractive
8
diffractive imaging
8
imaging spectroscopy
8
x-ray spectromicroscopy
8
hyperspectral coherent
4
spectroscopy solid-state
4
solid-state phase
4
phase transition
4
transition vanadium
4

Similar Publications

Superoxide dismutase (SOD) plays an important role to respond in the defence against damage when tomato leaves are under different types of adversity stresses. This work employed microhyperspectral imaging (MHSI) and visible near-infrared (Vis-NIR) hyperspectral imaging (HSI) technologies to predict tomato leaf SOD activity. The macroscopic model of SOD activity in tomato leaves was constructed using the convolutional neural network in conjunction with the long and short-term temporal memory (CNN-LSTM) technique.

View Article and Find Full Text PDF

The techniques of choice used in the treatment of extensive vascular lesions of the face are methods based on high-energy light sources, such as lasers and IPL (intense pulsed light). The techniques commonly employed to detect blood vessel abnormalities in skin primarily rely on semi-quantitative or qualitative scales. The study was conducted on a group of 38 volunteers; a series of three treatments was performed using an IPL source (Lumecca, Inmode, Israel).

View Article and Find Full Text PDF

Assessment of the effect of management activities like a drought salinity barrier and herbicide treatments on the spread of submersed and floating aquatic estuary macrophytes.

Sci Total Environ

January 2025

Center for Spatial Technologies and Remote Sensing (CSTARS), Institute of the Environment, University of California, One Shields Avenue, Davis, CA 95616, USA. Electronic address:

Estuaries are complex ecosystems, being difficult to determine the way management actions affect them. This study quantitatively evaluated the spread of invasive submerged and floating aquatic macrophyte vegetation in Franks Tract of the Sacramento-San Joaquin Delta in response to two types of management actions, drought salinity barriers in years 2015, 2021 and 2022, and herbicide treatments in years 2004-2022. A Random Forest algorithm applied to airborne hyperspectral and satellite multispectral images generated maps of macrophyte cover in 2004-2022.

View Article and Find Full Text PDF

Dimensionality Reduction (DR) is an indispensable step to enhance classifier accuracy with data redundancy in hyperspectral images (HSI). This paper proposes a framework for DR that combines band selection (BS) and effective spatial features. The conventional clustering methods for BS typically face hard encounters when we have a less data items matched to the dimensionality of the accompanying feature space.

View Article and Find Full Text PDF

Hyperspectral Metachip-Based 3D Spatial Map for Cancer Cell Screening and Quantification.

Adv Mater

December 2024

Advanced Microscopy and Instrumentation Research Center, School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin, 150080, China.

In this paper, compact terahertz (THz) metachips for hyperspectral screening and quantitative evaluation of human cancer cells is reported. This pixelated resonant metachips feature the resonance channel from 1 and 3 THz frequency with a record-high quality factor (up to 230). Through the interactions of various cancer cells of different concentrations, high-dimensional spectral signatures are obtained, which are further transformed into a spatial map for labelling and quantification purposes.

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!