Short Courses
31 Advanced Impedance Spectroscopy for Fuel Cells (Electrochemical Society sponsored short course at the Fuel Cell Seminar)
Orlando, FL
www.che.ufl.edu/orazem/Short_Courses.htm.
14 High-Throughput Drug Analysis by LC–MS
Somerset, NJ
14 Hands-on FTIR, NIR and Data Analysis — What Is the Right Tool to Solve Your Problem
Somerset, NJ
14 Introduction to Metabolomics
Somerset, NJ
14 Introduction to Near-Infrared Spectroscopy: Applications in the Pharmaceutical and Biotech Industries
Somerset, NJ
14 Interpretation of Mass Spectra with Practical Solutions to Problems
Somerset, NJ
14Practical Introduction to Raman Spectroscopy
Somerset, NJ
14 Impurity and Degradant Identification: Strategies for Structure Elucidation via Chromatography, MS, and NMR
Somerset, NJ
14–15 LC–MS: Theory, Instruments, and Applications
Somerset, NJ
14–15 Interpretation of Mass Spectra with Practical Solutions to Problems
Somerset, NJ
14–15 Infrared (IR) Spectral Interpretation I & II
Somerset, NJ
17 Practical Introduction to Raman Spectroscopy
Somerset, NJ
12 Introduction to Inductively Coupled Plasma Atomic Emission Spectrometry
Orlando, FL
12 Side Illuminated Optical Fiber Sensor with a High Density of Sensing Points
Orlando, FL
13 Fundamentals of Particle Size Analysis with an Emphasis on Light Scattering Techniques
Orlando, FL
Portable and Wearable Spectrometers in Our Future
December 3rd 2024The following is a summary of selected articles published recently in Spectroscopy on the subject of handheld, portable, and wearable spectrometers representing a variety of analytical techniques and applications. Here we take a closer look at the ever shrinking world of spectroscopy devices and how they are used. As spectrometers progress from bulky lab instruments to compact, portable, and even wearable devices, the future of spectroscopy is transforming dramatically. These advancements enable real-time, on-site analysis across diverse industries, from healthcare to environmental monitoring. This summary article explores cutting-edge developments in miniaturized spectrometers and their expanding range of practical applications.
AI, Deep Learning, and Machine Learning in the Dynamic World of Spectroscopy
December 2nd 2024Over the past two years Spectroscopy Magazine has increased our coverage of artificial intelligence (AI), deep learning (DL), and machine learning (ML) and the mathematical approaches relevant to the AI topic. In this article we summarize AI coverage and provide the reference links for a series of selected articles specifically examining these subjects. The resources highlighted in this overview article include those from the Analytically Speaking podcasts, the Chemometrics in Spectroscopy column, and various feature articles and news stories published in Spectroscopy. Here, we provide active links to each of the full articles or podcasts resident on the Spectroscopy website.