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Analytical Chemistry|October 6, 2025
Calibration for Quantitative Chemical Analysis in IR Microscopic ImagingEirik Almklov Magnussen, Boris Zimmermann, Simona Dzurendova, et al.
Frontiers in Plant Science|February 22, 2020
Combining Chemical Information From Grass Pollen in Multimodal CharacterizationSabrina Diehn, Boris Zimmermann, Valeria Tafintseva, et al.
Journal of Personalized Medicine|July 29, 2023
Characterisation of Cartilage Damage via Fusing Mid-Infrared, Near-Infrared, and Raman Spectroscopic DataRubina Shaikh, Valeria Tafintseva, Ervin Nippolainen, et al.
Analytical Methods : Advancing Methods and Applications|November 30, 2022
Optimizing extraction solvents for deoxynivalenol analysis in maize <i>via</i> infrared attenuated total reflection spectroscopy and chemometric methodsAntoni Femenias, Polina Fomina, Valeria Tafintseva, et al.
Foods (Basel, Switzerland)|September 28, 2021
Exploring Dry-Film FTIR Spectroscopy to Characterize Milk Composition and Subclinical Ketosis throughout a Cow's LactationAmira Rachah, Olav Reksen, Valeria Tafintseva, et al.
Microbial Cell Factories|December 19, 2023
Raman spectroscopy online monitoring of biomass production, intracellular metabolites and carbon substrates during submerged fermentation of oleaginous and carotenogenic microorganismsSimona Dzurendova, Pernille Margrethe Olsen, Dana Byrtusová, et al.
Genetics, Selection, Evolution : GSE|May 26, 2022
Genetic variants associated with two major bovine milk fatty acids offer opportunities to breed for altered milk fat compositionTim Martin Knutsen, Hanne Gro Olsen, Isaya Appelesy Ketto, et al.
Cartilage|February 22, 2021
Infrared Fiber-Optic Spectroscopy Detects Bovine Articular Cartilage DegenerationVesa Virtanen, Ervin Nippolainen, Rubina Shaikh, et al.
Applied Spectroscopy|November 8, 2024
Machine Learning Approaches for the Fusion of Near-Infrared, Mid-Infrared, and Raman Data to Identify Cartilage Degradation in Human Osteochondral PlugsValeria Tafintseva, Ervin Nippolainen, Vesa Virtanen, et al.
Journal of Biophotonics|August 27, 2020
Deep convolutional neural network recovers pure absorbance spectra from highly scatter-distorted spectra of cellsEirik Almklov Magnussen, Johanne Heitmann Solheim, Uladzislau Blazhko, et al.
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