March 15th 2024
Here are the top five articles that the editors of Spectroscopy published this week.
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).
Reflections from SciX 2023: Distinguishing Edible Oils with FT-IR
October 10th 2023In the Chemometrics in Food and Agriculture oral symposia today at SciX 2023, Barry Lavine of Oklahoma State University delivered a talk titled, “Authentication of Edible Oils Using an Infrared Spectral Library and Digital Sample Sets for Calibrated and Uncalibrated Adulterants.” Here is a brief reflection of his talk.
Artificial Intelligence in Spectroscopy: A SciX Interview with Ishan Barman
October 6th 2023As a preview to SciX 2023, Spectroscopy magazine sat down with Ishan Barman of Johns Hopkins University to ask him about his thoughts on how artificial intelligence may impact spectroscopic research going forward.
Tobacco Stem Impurities Identified with New Hyperspectral Superpixel Technique
September 27th 2023To effectively classify tobacco stems and impurities, a group of scientists from Jiangsu, China used hyperspectral superpixels to separate classify compounds and avoid the influence of interference fringes.
Analysis Reveals Performance Characteristics of Compact Fourier Transform Infrared Spectrometers
June 6th 2023A research team has utilized the Allan variance technique to analyze the performance characteristics of compact Fourier transform infrared (FT-IR) spectrometers. The study provides insights into the noise sources and instabilities of these handheld instruments, offering guidance for improving their accuracy and stability in real-time material detection and quantification applications.
New Study Challenges Diagnostic Tool for Fluorescence Analysis of Complex Samples
May 23rd 2023A researcher team questions the effectiveness of core consistency as a diagnostic tool in fluorescence analysis of complex samples. This new study suggests the need for alternative methods to accurately determine model complexity in such analyses.