In this work we show how energy-filtered imaging can be used to obtain spectrum images of electron energy-loss spectrometric data. Focus is placed on improved energy resolution within these data sets. Using two multilayer samples (GaN/AlN and InP/InAs), we demonstrate the advantages of spectrum-imaging and its extended mapping capabilities. Plasmon-ratio maps are used to quickly create high-contrast material maps with high signal-to-noise ratio, ratio-contrast plots are used to gain optimum settings for the ratio maps, and plasmon-position maps are used to map small shifts of the energy position of bulk plasmon peaks.
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http://dx.doi.org/10.1007/s00216-007-1578-3 | DOI Listing |
Anal Chem
January 2025
Center for Devices and Radiological Health, U.S. Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, Maryland 20993, United States.
Non-targeted analysis (NTA) using high-resolution mass spectrometry without defined chemical targets has the potential to expand and improve chemical monitoring in many fields. Despite rapid advancements within the research community, NTA methods and data remain underutilized by many potential beneficiaries. To better understand barriers toward widespread adoption, the Best Practices for Non-Targeted Analysis (BP4NTA) working group conducted focus group meetings and follow-up surveys with scientists (n = 61) from various sectors (e.
View Article and Find Full Text PDFAnal Chem
January 2025
Department of Food Science and Nutrition, The Hong Kong Polytechnic University, Hong Kong 999077, China.
Sample pretreatment for mass spectrometry (MS)-based metabolomics and lipidomics is normally conducted independently with two sample aliquots and separate matrix cleanup procedures, making the two-step process sample-intensive and time-consuming. Herein, we introduce a high-throughput pretreatment workflow for integrated nontargeted metabolomics and lipidomics leveraging the enhanced matrix removal (EMR)-lipid microelution 96-well plates. The EMR-lipid technique was innovatively employed to effectively separate and isolate non-lipid small metabolites and lipids in sequence using significantly reduced sample amounts and organic solvents.
View Article and Find Full Text PDFBioanalysis
January 2025
College of Chemistry, Beijing University of Chemical Technology, Beijing, China.
Ultrasmall and highly fluorescent gold nanoclusters (Au NCs) have been widely used for the construction of sensing and imaging platforms. Specifically, through a combination of surface functionalization and spectral analysis and/or imaging techniques, effective intracellular detection and imaging are realized. In this review, we summarize the recently adopted intracellular analysis and imaging events with Au NCs-based probes.
View Article and Find Full Text PDFData Brief
February 2025
College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
This study presents a comprehensive ultrasound image dataset for Non-Alcoholic Fatty Liver Disease (NAFLD), addressing the critical need for standardized resources in AI-assisted diagnosis. The dataset comprises 10,352 high-resolution ultrasound images from 384 patients collected at King Saud University Medical City and National Guard Health Affairs in Saudi Arabia. Each image is meticulously annotated with NAFLD Activity Score (NAS) fibrosis staging and steatosis grading based on corresponding liver biopsy results.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Microfluidics Cluster UPV/EHU, BIOMICs Microfluidics Group, University of the Basque Country UPV/EHU, Vitoria-Gasteiz 01006, Spain.
Traditional cell culture methods face significant limitations in monitoring cell secretions with spatial and temporal precision. Advanced microsystems incorporating biosensors have been developed to address these challenges, but they tend to lack versatility, and their complexity, along with the requirement for specialized equipment, limits their broader adoption. CellStudio offers an innovative, user-friendly solution that exploits Printing and Vacuum Lithography combined with bead-based assays to create modular and tunable cell patterns surrounded by biosensors.
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