Kristin Tøndel

Norwegian University of Life Sciences — Norway

Chemistry · Physical Sciences

13h-index424citations44works0.82yr avg
OpenAlex↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Spectroscopy and Chemometric Analyses(15), Spectroscopy Techniques in Biomedical and Chemical Research(8), Cardiovascular Function and Risk Factors(5), Neural dynamics and brain function(4), Microbial Natural Products and Biosynthesis(3)

Publications44 total

Wavelength selection for laser design in mid-infrared spectroscopy
Frontiers in Photonics·2026Open Access
Calibration for Quantitative Chemical Analysis in IR Microscopic Imaging
Analytical Chemistry·2025· 2 citedOpen Access
Local inhibitory circuits mediate cortical reactivations and memory consolidation
Science Advances·2025· 1 citedOpen Access
Cortical Reactivations Modulated by Local Inhibitory Circuits Mediate Memory Consolidation
2024Open Access
Increased interpretation of deep learning models using hierarchical cluster-based modelling
PLoS ONE·2023· 1 citedOpen Access
Metamodelling of a two-population spiking neural network
PLoS Computational Biology·2023· 2 citedOpen Access
FT-IR data set for hierarchical cluster-based deep learning
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
FT-IR data set for hierarchical cluster-based deep learning
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Crude Oil Density Prediction Improved by Multiblock Analysis of Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, Fourier Transform Infrared, and Near-Infrared Spectroscopy Data
Applied Spectroscopy·2023· 1 cited
FT-ICR MS and IR spectra of crude oils for multiblock analysis
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Deep learning-enabled Inference of 3D molecular absorption distribution of biological cells from IR spectra
Communications Chemistry·2022· 12 citedOpen Access
Deep Learning-enabled Inference of 3D Molecular Absorption Distribution of Biological Cells from IR Spectra
2022Open Access
Deep Learning-enabled Inference of 3D Molecular Absorption Distribution of Biological Cells from IR Spectra
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Deep Learning-enabled Inference of 3D Molecular Absorption Distribution of Biological Cells from IR Spectra
2022Open Access
Current overview and way forward for the use of machine learning in the field of petroleum gas hydrates
Fuel·2022· 25 citedOpen Access
Metamodelling of a two-population spiking neural network
2022· 1 citedOpen Access
Using machine learning-based variable selection to identify hydrate related components from FT-ICR MS spectra
PLoS ONE·2022· 4 citedOpen Access
Morphological Heterogeneity in Pancreatic Cancer Reflects Structural and Functional Divergence
Cancers·2021· 28 citedOpen Access
Deep convolutional neural network recovers pure absorbance spectra from highly scatter‐distorted spectra of cells
Journal of Biophotonics·2020· 26 citedOpen Access
Grayscale representation of infrared microscopy images by extended multiplicative signal correction for registration with histological images
Journal of Biophotonics·2020· 8 citedOpen Access
page 1 of 3Next →

Frequent Co-authors

Harald Martens(10), Valeria Tafintseva(9), Kristian Hovde Liland(9), Achim Köhler(8), Elise Lunde Gjelsvik(7), Eirik Almklov Magnussen(6), Simona Dzurendová(6), Boris Zimmermann(6), Arne B. Gjuvsland(5), Stig W. Omholt(5), Volha Shapaval(5), Jessica Webb(4), Jon Olav Vik(4), Martin Fossen(4), Nicolas P. Smith(4), Dana Byrtusová(4), Florian Muthreich(4), Ulf Geir Indahl(3), Sander Land(3), Steven Niederer(3)