Algorithms for spectroscopic data

På svenska

Spectroscopic imaging methods have many applications in both environmental science and medicine. We create and improve algorithms and software for correcting and analysing spectroscopic data. In particular, we work with 2D images from different techniques in the infrared part of the spectrum.

Our research group develops methods and software for a variety of spectroscopic techniques, for example to help users compute how relevant concentrations change over time or to correct for the effects of scattering. Techniques include Fourier transformed infrared (FTIR) absorption spectroscopy, Raman spectroscopy, optical photothermal infrared spectroscopy (O-PTIR, a new and powerful technique) and near-infrared hyperspectral imaging (HSI). Examples of environmental applications include soil–microbe interactions and microplastics identification. Examples of the medical applications include diagnosis and classification of skin cancers and the study of neurodegenerative diseases.

The group is part of COSHE, the Computational Science for Health and Environment theme at CEC.

Spectroscopic imaging support is available from CIPA, the imaging processing and analysis infrastructure at Lund University. Spectroscopy users who want assistance or advice concerning data processing, analysis and software are encouraged to get in touch to access support through CIPA.

Selected publications

F Maillard, DL Ramos, B Zhang, A Ahlawat, AL Gill, C Troein, M Hedenström, T Sparrman, P Persson, A Tunlid. Mycelial biomass growth stage at death determines fungal necromass decay dynamics. Soil Biology and Biochemistry, 110079 (2025).
C Bertoldi, M Pucetaite, MC Hansson, C Troein, M van Praagh. Effects of pre-treatment on characterization of microplastics in biosolids via optical photothermal infrared spectroscopy. Journal of Hazardous Materials 496, 139448 (2025).
E Andersson, J Hult, C Troein, M Stridh, B Sjögren, A Pekar-Lukacs, J Hernandez-Palacios, P Edén, B Persson, V Olariu, M Malmsjö, A Merdasa. Facilitating clinically relevant skin tumor diagnostics with spectroscopy-driven machine learning. iScience 27 (2024).
M Op De Beeck, C Troein, C Peterson, A Tunlid, P Persson. Elucidating fungal decomposition of organic matter at sub-micrometer spatial scales using optical photothermal infrared (O-PTIR) microspectroscopy. Applied and Environmental Microbiology 90 (2), e01489-23 (2024).
C Troein, S Siregar, M Op De Beeck, C Peterson, A Tunlid, P Persson. OCTAVVS: A graphical toolbox for high-throughput preprocessing and analysis of vibrational spectroscopy imaging data. Methods and Protocols 3, 34 (2020).