Short Courses
May
29–31 Mass Spectral Interpretation
Pittsburgh, PA
pacslabs.com/course/10massspectralinterpretationcourse.php
June
3–7 Fundamentals of X-ray Powder Diffraction
Newtown Square, PA
www.icdd.com/education/xrd.htm
5–7 Mass Spectral Interpretation
Chicago, IL
pacslabs.com/course/10massspectralinterpretationcourse.php
9 SC189 Photonic Quantum-Enhanced Technologies
San Jose, CA
www.cleoconference.org/home/program/short-courses/sc189/
9 Foundations of Nonlinear Optics
San Jose, CA
www.cleoconference.org/home/program/short-courses/sc149/
9 Nano-Photonics: Physics and Techniques
San Jose, CA
www.cleoconference.org/home/program/short-courses/sc221/
9 High Power Fiber Lasers and Amplifiers
San Jose, CA
www.cleoconference.org/home/program/short-courses/sc270/
9 Frontiers of Guided Wave Nonlinear Optics
San Jose, CA
www.cleoconference.org/home/program/short-courses/sc396/
9 Nano-Cavity Quantum Electrodynamics and Applications
San Jose, CA
www.cleoconference.org/home/program/short-courses/sc403/
10 Introduction to Ultrafast Optics
San Jose, CA
www.cleoconference.org/home/program/short-courses/sc378/
10 Coherent Mid-Infrared Sources and Applications
San Jose, CA
www.cleoconference.org/home/program/short-courses/sc361/
10 Coherent Mid-Infrared Sources and Applications
San Jose, CA
www.cleoconference.org/home/program/short-courses/sc361/
10 Quantum Cascade Lasers: Science, Technology, Applications and Markets
San Jose, CA
Best of the Week: SciX Award Interviews, Tip-Enhanced Raman Scattering
June 13th 2025Top articles published this week include an interview about aromatic–metal interactions, a tutorial article about the recent advancements in tip-enhanced Raman spectroscopy (TERS), and a news article about using shortwave and near-infrared (SWIR/NIR) spectral imaging in cultural heritage applications.
Hyperspectral Imaging for Walnut Quality Assessment and Shelf-Life Classification
June 12th 2025Researchers from Hebei University and Hebei University of Engineering have developed a hyperspectral imaging method combined with data fusion and machine learning to accurately and non-destructively assess walnut quality and classify storage periods.