Lightnovo is proud to share the latest publication co-authored by our team, showcasing innovative research at the intersection of spectroscopy and advanced data science.
Title: EXPRESS: Complex-Valued Chemometrics in Spectroscopy: Principal Component Regression
Authors: Thomas Mayerhöfer, Oleksii Ilchenko, Andrii Kutsyk, Juergen Popp
Publication: Journal of Society for applied Spectroscopy, 21 october, 2025
This paper introduces complex-valued Principal Component Regression (PCR) — a breakthrough that extends spectral analysis into the complex plane.
By combining Singular Value Decomposition (SVD) with Kramers–Kronig transforms, the authors demonstrate a powerful new approach that outperforms traditional PCR and lays the foundation for physics-informed, complex-valued neural networks in spectroscopy.
This collaboration reflects Lightnovo’s commitment to collaborating for driving innovation at the intersection of hardware and data science, shaping the next generation of Raman and optical spectroscopy.
Read the full paper: https://journals.sagepub.com/doi/10.1177/00037