July 24th 2024
Researchers have proposed an innovative approach to tackling fluorescence interference in Raman spectroscopy by using LEGO blocks as standard samples. This new method offers a low-cost, rugged, and reproducible alternative to the complex liquid mixtures traditionally used in such studies, marking a significant advancement in the field of spectroscopic analysis.
Innovative New Method Speeds Up Correction of ATR Infrared Spectra
May 20th 2024Researchers at the Leibniz Institute of Photonic Technology have developed a rapid method to correct infrared attenuated total reflection (ATR) infrared spectra, essential for accurate analysis in various scientific fields. By bypassing iterative processes, this approach enhances efficiency and precision.
Deep Learning Advances Gas Quantification Analysis in Near-Infrared Dual-Comb Spectroscopy
May 15th 2024Researchers from Tsinghua University and Beihang University in Beijing have developed a deep-learning-based data processing framework that significantly improves the accuracy of dual-comb absorption spectroscopy (DCAS) in gas quantification analysis. By using a U-net model for etalon removal and a modified U-net combined with traditional methods for baseline extraction, their framework achieves high-fidelity absorbance spectra, even in challenging conditions with complex baselines and etalon effects.
AI-Based Neural Networks Revolutionize Infrared Spectra Analysis
May 13th 2024A Researcher from Lomonosov Moscow State University has developed a convolutional neural network (CNN) model for Fourier transform infrared (FT-IR) spectra recognition. This AI-based system is capable of classifying 17 functional groups and 72 coupling oscillations with remarkable accuracy, providing a significant boost to material analysis in fields like organic chemistry, materials science, and biology.
Antibiotic-Resistant Bacteria Identified Using Infrared Spectroscopy and Machine Learning
March 27th 2024Scientists from Ben-Gurion University of the Negev, the Afeka Tel-Aviv Academic College of Engineering, and the Shamoon College of Engineering recently created a system that combines Fourier transform infrared (FT-IR) spectroscopy with machine learning algorithms to identify bacteria that is resistant to antibiotics.
Nano-X’s AI-Imaging Software Receives FDA Clearance
February 14th 2024Nano-X received clearance from the U.S. Food and Drug Administration for its HealthFLD artificial intelligence (AI) software, which is designed to perform automated qualitative and quantitative analysis of liver attenuation from CT scans.
Photonics West: New Fourier-Based System to Improve Upon Neural Networks
February 8th 2024At SPIE Photonics West 2024, Jiachi Ye of the University of Florida held a presentation about a 4f-based free-space optical system (light-based computer) to address power consumption and speed limitations of calculations performed with convolutional neural networks (CNNs).
Photonics West: Terahertz Spectroscopy to Detect Changes in Integrated Circuit Packaging Materials
February 2nd 2024Chengjie Xi of the University of Florida held a lecture on how terahertz time-domain spectroscopy (THz-TDS) can be used to detect changes in integrated-circuit (IC) packaging materials.
Raman Spectroscopy to Detect Traumatic Brain Injuries: An Interview with Pola Goldberg Oppenheimer
January 10th 2024This interview with Pola Goldberg Oppenheimer of the University of Birmingham highlights new research her team is working on that includes a Raman-based system for detecting early traumatic brain injuries.