Spectroscopy Interviews

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The Optimal Spectral Window to Avoid Consolidants in Archaeological Analysis
0:38
The Optimal Spectral Window to Avoid Consolidants in Archaeological Analysis
25 days ago
by
Christina Macie Ryder
Is There Potential Using Raman Spectroscopy for Medical Diagnostics?
0:52
Is There Potential Using Raman Spectroscopy for Medical Diagnostics?
a month ago
by
Igor K. Lednev
What Can ICP-MS-Based Techniques Do For You?
3:39
What Can ICP-MS-Based Techniques Do For You?
a month ago
by
Ayush Agarwal
The 'Color' Analogy of Engineering and Machine Learning
1:13
The 'Color' Analogy of Engineering and Machine Learning
a month ago
by
Hunter Andrews
Does Chemometrics Provide the Strength for Spectroscopic Studies?
0:45
Does Chemometrics Provide the Strength for Spectroscopic Studies?
a month ago
by
Dmitry Kurouski
Preparing for a Transition to Analytical Chemistry
2:43
Preparing for a Transition to Analytical Chemistry
a month ago
by
Ayush Agarwal
The Dynamic Future of Atomic Spectroscopy
1:13
The Dynamic Future of Atomic Spectroscopy
a month ago
by
Spiros Pergantis
A Guiding Principle for Analytical Scientists
1:55
A Guiding Principle for Analytical Scientists
a month ago
by
Ayush Agarwal
The Key Topics Being Discussed at Spectroscopy Conferences
1:21
The Key Topics Being Discussed at Spectroscopy Conferences
a month ago
by
Spiros Pergantis
The Single Particle Approach
0:52
The Single Particle Approach
a month ago
by
R. Kenneth Marcus

More News

In this interview clip, Lenka Halámková, an assistant professor of high-dimensional data analysis at Texas Tech University, explains the next steps needed in order for attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy and machine learning to become a part of routine forensic and clinical toxicology workflows for opioid exposure.

In this interview clip, Dmitry Kurouski, an Associate Professor of Biochemistry and Biophysics, and Biomedical Engineering at Texas A&M University, explains why combining near-infrared excitation Raman spectroscopy (NieRS) with partial least squares–discriminant analysis (PLS-DA) created a robust method for identifying dyes.

In this interview clip, Dmitry Kurouski, an Associate Professor of Biochemistry and Biophysics, and Biomedical Engineering at Texas A&M University, explains the benefit of using near-infrared excitation Raman spectroscopy (NieRS) over high-performance liquid chromatography (HPLC) for forensic dye analysis.