• 2023

  • Gjelsvik, E.L., Fossen, M., Brunsvik, A., Liland, K.H., Tøndel, K., 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, 0(0).
  • Gjelsvik, E.L., Fossen, M., Brunsvik, A., Tøndel, K., Using machine learning-based variable selection to identify hydrate related components from FT-ICR MS spectra, PLoS ONE, 2022, 17(8): e0273084.Kong B., Brandsrud M.A., Heitmann
• 2022

  • Kong B., Brandsrud M.A., Heitmann Solheim J., Nedrebø I., Blümel R., Kohler A.: Effects of the coupling of dielectric spherical particles on signatures in infrared microspectroscopy. Scientific Reports 12 (2022) 13327
  • Storaker Myrbråten I., Stamsås G.A., Chan H., Morales Angeles D., Mathiesen Knutsen T., Salehian Z., Shapaval V., Straume D., Kjos M.: SmdA is a Novel Cell Morphology Determinant in Staphylococcus aureus. mBio 13 (2022) e03404-21
  • Akulava V., Miamin U., Akhremchuk K., Valentovich L., Dolgikh A., Shapaval V.: Isolation, Physiological Characterization, and Antibiotic Susceptibility Testing of Fast-Growing Bacteria from the Sea-Affected Temporary Meltwater Ponds in the Thala Hills Oasis (Enderby Land, East Antarctica). Biology 11 (2022) 1143
  • Knutsen T.M., Olsen H.G., Ketto I.A., Sundsaasen K.K, Kohler A., Tafintseva V., Svendsen M., Kent M.P., Lien S.: Genetic variants associated with two major bovine milk fatty acids offer opportunities to breed for altered milk fat composition. Genetics Selection Evolution 54 (2022) 35
  • Smirnova M., Tafintseva V., Kohler A., Miamin U., Shapaval V.: Temperature-and Nutrients-Induced Phenotypic Changes of Antarctic Green Snow Bacteria Probed by High-Throughput FTIR Spectroscopy.
    Biology 11 (2022) 890
  • Rehman H.U., Tafintseva V., Zimmermann B., Solheim J., Virtanen V., Shaikh R., Nippolainen E., Afara I., Saarakkala S, Rieppo L., Krebs P., Fomina P., Mizaikoff B., Kohler A.: Preclassification of broadband and sparse infrared data by multiplicative signal correction approach. Molecules 27 (2022) 2298
  • Virtanen V., Tafintseva V., Shaikh R., Nippolainen E., Haas J., Afara I., Töyräs J., Kröger H., Solheim J., Zimmermann B., Kohler A., Mizaikoff B., Finnilä M., Rieppo L., Saarakkala S.: Infrared spectroscopy is suitable for objective assessment of articular cartilage health. Osteoarthritis and Cartilage Open 4 (2022) 100250
  • Solheim J.H., Zimmermann B., Tafintseva V., Dzurendová S., Shapaval V., Kohler A.: The Use of Constituent Spectra and Weighting in Extended Multiplicative Signal Correction in Infrared Spectroscopy. Molecules 27 (2022) 1900
  • Tafintseva V., Lintvedt T.A., Solheim J., Zimmermann B., Rehman H.U., Virtanen V., Shaikh R., Nippolainen E., Afara I., Saarakkala S, Rieppo L., Krebs P., Fomina P., Mizaikoff B., Kohler A.: Preprocessing Strategies for Sparse Infrared Spectroscopy: A Case Study on Cartilage Diagnostics. Molecules 27 (2022) 873
• 2021

  • Heitmann Solheim J., Borondics F., Zimmermann B., Sandt C., Muthreich F., Kohler A.: An automated approach for fringe frequency estimation and removal in infrared spectroscopy and hyperspectral imaging of biological samples. Journal of Biophotonics 14 (2021) e202100148
  • Dzurendova S., Losada C.B., Dupuy-Galet B.X., Fjær K., Shapaval V.: Mucoromycota fungi as powerful cell factories for modern biorefinery. Applied Microbiology and Biotechnology 106 (2021) 101
  • Carnovale G., Rosa F., Shapaval V., Dzurendova S., Kohler A., Wicklund T., Horn S.J., Barbosa M.J., Skjånes K.: Starch Rich Chlorella vulgaris: High-Throughput Screening and Up-Scale for Tailored Biomass Production. Applied Sciences 11 (2021) 9025
  • Gaykawad S.S., Ramanand S.S., Blomqvist J., Zimmermann B., Shapaval V., Kohler A., Oostindjer M., Boccadoro C.: Submerged Fermentation of Animal Fat By-Products by Oleaginous Filamentous Fungi for the Production of Unsaturated Single Cell Oil. Fermentation 7 (2021) 300
  • Figoli C.B., Garcea M., Bisioli C., Tafintseva V., Shapaval V., Gómez Peña M., Gibbons L., Althabe F., Yantorno O.M., Horton M., Schmitt J., Lasch P., Kohler A., Bosch A.: A robust metabolomics approach for the evaluation of human embryos from in vitro fertilization. Analyst 146 (2021) 6156
  • Seim E., Kohler A., Lukacs R., Brandsrud M.A, Marstein E.S, Olsen E., Blümel R.
    Wave chaos enhanced light trapping in optically thin solar cells
    Chaos 31 (2021) 063136
  • Dzurendova S., Shapaval V., Tafintseva V., Kohler A., Byrtusová D., Szotkowski M., Márová I., Zimmermann B.: Assessment of Biotechnologically Important Filamentous Fungal Biomass by Fourier Transform Raman Spectroscopy. International Journal of Molecular Sciences 22 (2021) 6710
  • Tafintseva V., Shapaval V., Blazhko U., Kohler A.: Correcting replicate variation in spectroscopic data by machine learning and model-based pre-processing. Chemometrics and Intelligent Laboratory Systems 215 (2021) 104350
  • Byrtusová D., Szotkowski M., Kurowska K., Shapaval V., Márová I.: Rhodotorula kratochvilovae CCY 20-2-26—The Source of Multifunctional Metabolites. Microorganisms 9 (2021) 1280
  • Brandenburg J., Blomqvist J., Shapaval V., Kohler A., Sampels S., Sandgren M., Passoth V.: Oleaginous yeasts respond differently to carbon sources present in lignocellulose hydrolysate. Biotechnology for Biofuels volume 14 (2021) 124
  • Blazhko U., Shapaval V., Kovalev V., Kohler A.: Comparison of augmentation and pre-processing for deep learning and chemometric classification of infrared spectra. Chemometrics and Intelligent Laboratory Systems 215 (2021) 104367
  • Brandsrud M.A., Blümel R., Lukacs R., Seim E., Stensrud Marstein E, Olsen E., Kohler A.: Investigation of resonance structures in optically thin solar cells. Journal of Photonics for Energy, 11 (2021) 024501
  • Brandsrud M.A., Blümel R., Heitmann Solheim J., Kohler A.: The effect of deformation of absorbing scatterers on Mie-type signatures in infrared microspectroscopy. Scientific Reports 11 (2021) 4675
  • Dzurendova S., Zimmermann B., Kohler A., Reitzel K., Nielsen U.G., Dupuy--Galet B.X., Leivers S., Horn S.J., Shapaval V.: Calcium affects polyphosphate and lipid accumulation in Mucoromycota fungi. Journal of Fungi 7 (2021) 300
  • Langseter A.M., Dzurendova S., Shapaval V., Kohler A., Ekeberg D., Zimmermann B.: Evaluation and optimisation of direct transesterification methods for the assessment of lipid accumulation in oleaginous filamentous fungi. Microbial Cell Factories 20 (2021) 59
  • Virtanen V., Nippolainen E., Shaikh R., Afara I.O., Töyräs J., Solheim J., Tafintseva V., Zimmermann B., Kohler A., Saarakkala S., Rieppo L.: Infrared Fiber-Optic Spectroscopy Detects Bovine Articular Cartilage Degeneration. Cartilage (2021)
  • Slaný O. , Klempová T., Shapaval V., Zimmermann B., Kohler A., Čertík M.: Animal Fat as a Substrate for Production of n-6 Fatty Acids by Fungal Solid-State Fermentation. Microorganisms 9 (2021) 170
  • Smirnova M.,  Miamin U., Kohler A., Valentovich L., Akhremchuk A., Sidarenka A., Dolgikh A., Shapaval V.: Isolation and characterization of fast‐growing green snow bacteria from coastal East Antarctica. MicrobiologyOpen, 10 (2021) e1152
• 2020

  • Curtasu M.V., Tafintseva V., Bendiks Z., Marco M.L., Kohler A., Xu Y., Nørskov N.P., Nygaard Lærke H., Knudsen K.E.B., Hedemann M.S.: Obesity-Related Metabolome and Gut Microbiota Profiles of Juvenile Göttingen Minipigs—Long-Term Intake of Fructose and Resistant Starch. Metabolites 10 (2020) 456
  • Rachah A., Reksen O., Afseth N., Tafintseva V., Ferneborg S., Martin A., Kohler A., Prestløkken E.: Fourier transform infrared spectral data as a tool to predict energy balance, energy- and dry matter intake in lactating dairy cows. Journal of dairy research (2020) 1-8
  • Almklov Magnussen E., Heitmann Solheim J., Blazhko U., Tafintseva V., Tøndel K., Liland K.H., Dzurendova S., Shapaval V., Kohler A.: Deep convolutional neural network recovers pure absorbance spectra from highly scatter‐distorted spectra of cells. Journal of Biophotonics (2020) e202000204
  • Slaný O., Klempová T., Shapaval V., Zimmermann B., Kohler A., Čertík M.: Biotransformation of Animal Fat-By Products into ARA-Enriched Fermented Bioproducts by Solid-State Fermentation of Mortierella alpina. Journal of Fungi 6 (2020) 236
  • Dzurendova S., Zimmermann B., Tafintseva V., Kohler A., Horn S.J., Shapaval V.: Metal and Phosphate Ions Show Remarkable Influence on the Biomass Production and Lipid Accumulation in Oleaginous Mucor circinelloides. Journal of Fungi 6 (2020) 260
  • Dzurendova S., Zimmermann B., Tafintseva V., Kohler A., Ekeberg D., Shapaval V.: The influence of phosphorus availability and the nature of nitrogen on the biomass production and accumulation of lipids in oleaginous Mucoromycota fungi. Applied Microbiology and Biotechnology 104 (2020) 8065
  • Kohler A., Heitmann Solheim J., Tafintseva V., Zimmermann B., Shapaval V.: Model-Based Pre-Processing in Vibrational Spectroscopy. Comprehensive Chemometrics, Second Edition (2020) 83
  • Byrtusová D., Shapaval V., Holub J., Šimanský S., Rapta M., Szotkowski M., Kohler A., Márová I.: Revealing the Potential of Lipid and β-Glucans Coproduction in Basidiomycetes Yeast. Microorganisms 8 (2020) 1034
  • Dzurendova S., Zimmermann B., Kohler A., Tafintseva V., Slany O., Certik M., Shapaval V.: Microcultivation and FTIR spectroscopy-based screening revealed a nutrient-induced co-production of high-value metabolites in oleaginous Mucoromycota fungi. PLoS ONE 15 (2020) e0234870
  • Trukhan S., Tafintseva V., Tøndel K., Großerueschkamp F., Mosig A., Kovalev V., Gerwert K., Kohler A.: Grayscale representation of infrared microscopy images by Extended Multiplicative Signal Correction for registration with histological images. Journal of Biophotonics 13 (2020) e201960223
  • Diehn S., Zimmermann B., Tafintseva V., Bağcıoğlu M., Kohler A., Ohlson M., Fjellheim S., Kneipp J.: Discrimination of grass pollen of different species by FTIR spectroscopy of individual pollen grains. Analytical and Bioanalytical Chemistry 412 (2020) 6459
  • Meyer V., Basenko E.Y., Benz J.P., Braus G.H., Caddick M.X., Csukai M., de Vries R.P., Endy D., Frisvad J.C., Gunde‑Cimerman N., Haarmann T., Hadar Y., Hansen K., Johnson R.I., Keller N.P., Kraševec N., Mortensen U.H., Perez R., Ram A.F.J., Record E., Ross P., Shapaval V., Steiniger C., van den Brink H., van Munster J., Yarden O., Wösten H.A.B.: Growing a circular economy with fungal biotechnology: a white paper. Fungal Biology and Biotechnology 7 (2020) 5
  • Sirovica, S., Heitmann Solheim J., Skoda, M.W.A., Hirschmugl C.J., Mattson E.C., Aboualizadeh E., Guo Y., Chen X., Kohler A., Romanyk D.L., Rosendahl S.M., Morsch S., Martin R.A., Addison O.: Origin of micro-scale heterogeneity in polymerisation of photo-activated resin composites. Nature Communications 11 (2020) 1849
  • Kenđel A., Zimmermann B.: Chemical Analysis of Pollen by FT-Raman and FTIR Spectroscopies. Frontiers in Plant Science 11 (2020) 352
  • Tafintseva V., Shapaval V., Smirnova M., Kohler A.: Extended multiplicative signal correction for FTIR spectral quality test and pre‐processing of infrared imaging data. Journal of Biophotonics 13 (2020) e201960112
  • Diehn S., Zimmermann S., Tafintseva V., Seifert S., Bagcioglu M., Ohlson M., Weidner S., Fjellheim S., Kohler A., Kneipp J.: Combining chemical information from grass pollen in multimodal characterization. Frontiers in Plant Science 10 (2020) 1788
  • Muthreich F., Zimmermann B., Birks H.J.B., Vila‐Viçosa C.M., Seddon A.W.R.:
    Chemical variations in Quercus pollen as a tool for taxonomic identification: Implications for long‐term ecological and biogeographical research. Journal of Biogeography 47 (2020) 1298
• 2019

  • Szotkowski M., Byrtusova D., Haronikova A., Vysoka M., Rapta M., Shapaval V., Marova I.: Study of Metabolic Adaptation of Red Yeasts to Waste Animal Fat Substrate. Microorganisms 7 (2019) 578
  • Sanden K.W., Kohler A., Afseth N.K., Böcker U., Rønning S.B., Liland K.H., Pedersen M.E.: The use of Fourier‐transform infrared spectroscopy to characterize connective tissue components in skeletal muscle of Atlantic cod (Gadus morhua L.). Journal of Biophotonics 12 (2019) e201800436
  • Xiong Y., Shapaval V., Kohler A., Li J., From P.J.: A Fully Automated Robot for the Preparation of Fungal Samples for FTIR Spectroscopy Using Deep Learning. IEEE Access 7 (2019) 132763-132774
  • Xiong Y., Shapaval V., Kohler A., From P.J.: A Laboratory-Built Fully Automated Ultrasonication Robot for Filamentous Fungi Homogenization. SLAS Technology (2019) 1-13
  • Shapaval V., Brandenburg J., Blomqvist J., Tafintseva V., Passoth V., Sandgren M., Kohler A.: Biochemical profiling, prediction of total lipid content and fatty acid profile in oleaginous yeasts by FTIR spectroscopy. Biotechnology for Biofuels 12 (2019) 140
  • Heitmann Solheim J., Gunko E., Petersen D., Grosserruschkamp F., Gerwert K., Kohler A.: An open source code for Mie Extinction EMSC for infrared microscopy spectra of cells and tissues. Journal of Biophotonics 12 (2019) e201800415
  • Brandsrud M.A., Seim E., Lukacs R., Kohler A., Marstein E.S., Olsen E., Blümel R.: Exact ray theory for the calculation of the optical generation rate in optically thin solar cells. Physica E: Low-dimensional Systems and Nanostructures 105 (2019) 125 – 138.
  • Schofield A.J., Blümel R., Kohler A., Lukacs R., Hirschmugl C.J.: Extracting pure absorbance spectra in infrared microspectroscopy by modeling absorption bands as Fano resonances. Journal of Chemical Physics 150 (2019) 154124.
  • Seddon A.W.R., Festi D., Robson T.M., Zimmermann B.: Fossil pollen and spores as a tool for reconstructing ancient solar-ultraviolet irradiance received by plants: an assessment of prospects and challenges using proxy-system modelling. Photochemical and Photobiological Sciences 18 (2019) 275.
  • Seim E., Kohler A., Lukacs R., Brandsrud M.A, Marstein E.S, Olsen E., Blümel R.: Chaos: A new mechanism for enhancing the optical generation rate in thin-film solar cells. SPIE West 10913 (2019). Chaos 29 (2019) 093132
  • Innes S.N., Arve L.E., Zimmermann B., Nybakken L., Melby T.I., Solhaug K.A., Olsen J.E., Torre S.: Elevated air humidity increases UV mediated leaf and DNA damage in pea (Pisum sativum) due to reduced flavonoid content and antioxidant power. Photochemical and Photobiological Sciences 18 (2019) 387.
• 2018

  • Konevskikh T., Lukacs R., Kohler A.: An improved algorithm for fast resonant Mie scatter correction of infrared spectra of cells and tissues. Journal of Biophotonics 11 (2018) DOI: 10.1002/jbio.201600307
  • Tzimorotas D., Afseth N. K., Lindberg D., Kjørlaug O., Axelsson L., Shapaval V.:
    Pretreatment of different food rest materials for bioconversion into fungal lipid-rich biomass. Journal of Bioprocess and Biosystems Engineering 41 (2018) 1039.
  • Kosa G., Zimmermann B., Kohler A., Ekeberg D., Afseth N.K., Mounier J., Shapaval V.: High-throughput screening of Mucoromycota fungi for production of low- and high value lipids. Biotechnology for Biofuels 11:66 (2018)
  • Guoa S., Kohler A., Zimmermann B., Heinke R., Stöckel S., Rösch P., Popp J., Bocklitz T.: EMSC based model transfer for Raman spectroscopy in biological applications. Analytical Chemistry 90 (2018) 9787.
  • Knutsen T.M., Olsen H.G., Tafintseva V., Svendsen M., Kohler A., Kent M.P., Lien S.: Unravelling genetic variation underlying de novo-synthesis of bovine milk fatty acids. Scientific reports 8 (2018) 2179.
  • Diehn S., Zimmermann B., Bağcıoğlu M., Seifert S., Kohler A., Ohlson M., Fjellheim S., Weidner S., Kneipp J.: Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) shows adaptation of grass pollen composition. Scientific Reports 8 (2018) 16591.
  • Kosa G., Vuoristo K., Horn S.J., Zimmermann B., Afseth N.K., Kohler A., Shapaval V.: Assessment of the scalability of a microtiter plate system for screening of oleaginous microorganisms. Applied Microbiology and Biotechnology 102 (2018) 4915.
  • Zimmermann B.: Chemical characterization and identification of Pinaceae pollen by infrared microspectroscopy. Planta 247 (2018) 171.
  • Vanek M., Mravec F., Szotkowski M., Byrtusova D., Haronikova A., Certik M., Shapaval V., Marova I.: Fluorescence lifetime imaging of red yeast Cystofilobasidium capitatum during growth. The EuroBiotech Journal 2 (2018) 114.
  • Blümel R., Lukacs R., Zimmermann B., Bağcıoğlu M., Kohler A.: Observation of Mie ripples in the synchrotron FTIR spectra of spheroidal pollen grains. Journal of the Optical Society of America A 35 (2018) 1769.
  • Tafintseva V., Vigneau E., Shapaval V., Cariou V., Qannari E.M., Kohler A.: Hierarchical classification of microorganisms based on high-dimensional phenotypic data. Journal of Biophotonics 11 (2018)
  • Azarfar G., Aboualizadeh E., Walter N.M., Ratti S., Olivieri C., Norici A., Nasse M., Kohler A., Giordano M., Hirschmugl C.J.: Estimating and correcting interference fringes in infrared spectra in infrared hyperspectral imaging. Analyst 143 (2018) 4674.
• 2017

  • Zimmermann B., Bağcıoğlu M., Tafinstseva V., Kohler A., Ohlson M., Fjellheim S.: A high-throughput FTIR spectroscopy approach to assess adaptive variation in pollen quality. Ecology and Evolution 7 (2017) 10839.
  • Olsen H.G., Knutsen T.M., Kohler A., Svendsen M., Gidskehaug L., Grove H., Nome T., Sodeland M., Sundsaasen K.K., Kent M.P., Martens H., Lien S.: Genome-wide association mapping for milk fat composition and fine mapping of a QTL for de novo synthesis of milk fatty acids on bovine chromosome 13.
    Genetics Selection Evolution, 49:20 (2017) doi:10.1186/s12711-017-0294-5
  • Marova I., Rapta M., Vanek M., Haronikova A., Szotkowski M., Shapaval V.: Use of high-throughput techniques to study simultaneous production of lipid metabolites in carotenogenic yeasts grown on waste animal fat. Journal of Biotechnology 256 (2017) 42.
  • Kosa G., Kohler A., Tafintseva V., Zimmermann B., Forfang K., Afseth N.K., Tzimorotas D., Vuoristo K.S., Horn S.J., Mounier J., Shapaval V.: Microtiter plate cultivation of oleaginous fungi and monitoring of lipogenesis by high-throughput FTIR spectroscopy. Microbial Cell Factories 16:101 (2017).
  • Forfang, K., Zimmermann B., Kosa, G. Kohler A., Shapaval V.: FTIR spectroscopy for evaluation and monitoring of lipid extraction efficiency for oleaginous fungi. PLOS One 12 (2017) e0170611.
  • Marova I., Szotkowski M., Vanek M., Rapta M., Byrrtusova D., Mikheichyk N., Haronikova A., Certik M., Shapaval V.: Utilization of animal fat waste as carbon source by carotenogenic yeasts – a screening study. The EuroBiotech Journal 1 (2017) 310.
  • Bağcıoğlu M., Kohler A., Seifert S., Kneipp J., Zimmermann B.: Monitoring of plant-environment interactions by high throughput FTIR spectroscopy of pollen. Methods in Ecology and Evolution 8 (2017) 870-880.
  • Kosa G., Shapaval V., Kohler A., Zimmermann B.: FTIR spectroscopy as a unified method for simultaneous analysis of intra- and extracellular metabolites in high-throughput screening of microbial bioprocesses. Microbial Cell Factories 16:195 (2017).
  • Shapaval V., Møretrø T., Suso H-P., Schmitt J., Lilehaug D., Kohler A.: A novel library-independent approach based on FTIR spectroscopy for source tracking of moulds contamination in food. Letters in Applied Microbiology 64 (2017) 335.
  • Colabella C., Corte L., Roscini L., Shapaval V., Kohler A., Tafintseva V., Tascini C., Cardinali G.: Merging FT-IR and NGS for simultaneous phenotypic and genotypic identification of pathogenic Candida species. PLoS One 12 (2017) e0188104
• 2016

  • Zimmermann B., Tafintseva V., Bağcıoğlu M., Høegh Berdahl M., Kohler A.: Analysis of allergenic pollen by FTIR microspectroscopy. Analytical Chemistry 88 (2016) 803-811.
  • Hovde Liland K., Kohler A., Afseth N.K.: Model-based pre-processing in Raman spectroscopy of biological samples. Journal of Raman Spectroscopy (2016) DOI: 10.1002/jrs.4886. 
  • Konevskikh T., Lukacs R., Blümel R., Ponossov A., Kohler A.: Mie scatter corrections in single cell infrared microspectroscopy. Faraday Discussions 187 (2016) 235-257.
  • Blümel R., Bağcıoğlu M., Lukacs R., Kohler A.: Infrared refractive index dispersion of polymethyl methacrylate spheres from Mie ripples in Fourier-transform infrared microscopy extinction spectra. Journal of the Optical Society of America A 33 (2016) 1687-1696.
• 2015

  • Li J., Shapaval V., Kohler A., Talintyre R., Schmitt J., Stone R., Gallant A.J., Zeze D.A.: A Modular Liquid Sample Handling Robot for High-Throughput Fourier Transform Infrared Spectroscopy. In Ding X., Kong X. & Dai S.J. (eds) Advances in Reconfigurable Mechanics and Robotics II (2015). Cham: Springer International Publishing
  • Bağcıoğlu M., Zimmermann B., Kohler A.: A multiscale vibrational spectroscopic approach for identification and biochemical characterization of pollen. PLOS One 10 (2015) e0137899
  • Zimmermann B., Bağcıoğlu M., Sandt C., Kohler A.: Vibrational microspectroscopy enables chemical characterization of single pollen grains as well as comparative analysis of plant species based on pollen ultrastructure. Planta 242 (2015) 1237-1250
  • Konevskikh T., Ponossov A., Blumel R., Lukacs R., Kohler A. Fringes in FTIR spectroscopy revisited: understanding and modelling fringes in infrared spectroscopy of thin films. Analyst 140 (2015) 3969.
  • Zimmermann B., Tkalčec Z., Mešić A., Kohler A. Characterizing aeroallergens by infrared spectroscopy of fungal spores and pollen. PLOS One 10 (2015) e0124240
  • Lukacs R., Blümel R., Zimmermann B., Bağcıoğlu M., Kohler A.: Recovery of absorbance spectra of micrometer-sized biological and inanimate particles. Analyst 140 (2015) 3273-3284
  • Karaman I., Nørskov N.P., Yde C.C., Skou Hedemann M., Bach Knudsen K.E., Kohler A.: Sparse multi-block PLSR for biomarker discovery when integrating data from LC-MS and NMR metabolomics. Metabolomics 11 (2015) 367.
• 2014

  • Shapaval V., Afseth N.K., Vogt G., Kohler A.: Fourier Transform Infrared Spectroscopy for the prediction of fatty acid profiles in Mucor fungi in media with different carbone sources. Microbial Cell Factories 4 (2014)
  • Kohler A., Boecker U., Shapaval V., Forsmark A., Anderssion M., Warringer J., Martens H., Omholt S.W., Blomberg A.: High-throughput biochemical fingerprinting of Saccharomyces cerevisiae by Fourier transform infrared spectroscopy. PLOS One 10 (2014) e0118052
  • Hovde Liland K., Kohler A., Shapaval V.: Hot PLS—a framework for hierarchically ordered taxonomic classification by partial least squares. Chemometrics and Intelligent Laboratory Systems 15 (2014)
  • Zimmermann B., Kohler A.: Infrared spectroscopy of pollen identifies plant species and genus as well as environmental conditions. PLOS One 9 (2014) e95417
  • Kohler A., Boecker U., Shapaval V., Forsmark A., Anderssion M., Warringer J., Martens H., Omholt S.W., Blomberg A.: High-throughput biochemical fingerprinting of Saccharomyces cerevisiae by Fourier transform infrared spectroscopy. PLOS One 10 (2014)
• 2013

  • Shapaval V., Schmitt J., Møretrø T., Suso HP, Skaar I., Åsli AW., Lilehaug D., and Kohler A.: Characerization of food spoilage fungi by FTIR spectroscopy. Journal of Applied Microbiology 114 (2013)
  • Hassani S., Hanafi M., Qannari M., Kohler A.: Deflation strategies for multi-block principal component analysis revisited. Chemometrics and Intelligent Laboratory Systems. 120 (2013) 154–168.
  • Karaman I., Qannari M., Martens H., Skou Hedemann M., Bach Knudsen K.E., Kohler A.: Comparison of Sparse and Jack-knife partial least squares regression methods for variable selection. Chemometrics and Intelligent Laboratory Systems. 122 (2013) 65-77.
  • Eslami A., Qannari E.M., Kohler A., Bougeard S.: Analyses factorielles de données structurées en groupes d’individus (Multivariate data analysis of multi-group datasets). Journal de la Société Française de Statistique 44 (2013) 2102.
  • Zimmermann B., Kohler A.: Optimizing Savitzky-Golay parameters for improving spectral resolution and quantification in infrared spectroscopy. Applied Spectroscopy 67 (2013) 892-902.
  • Eslami A., Qannari E.M., Kohler A., Bougeard S.: General overview of methods of analysis of multi-group datasets. Revue des Nouvelles Technologies de l’information (RNTI) 25 (2013) 113.
• 2012

  • Shapaval V., Walczak B., Gognies S., Møretrø T., Suso HP, Åsli AW., Belarbi A., and Kohler A.: FTIR spectroscopic characterization of differently cultivated food related yeasts. Analyst 138 (2012)
  • Hassani S., Martens H., Qannari M., Hanafi M., Kohler A.: Model validation and error estimation in multi-block partial least squares regression. Chemometrics and Intelligent Laboratory Systems 117 (2012) 42-53
  • Hassani S., Martens H., Qannari M., Kohler A.: Degrees of freedom estimation in Principal Component Analysis and consensus principal component analysis. Chemometrics and Intelligent Laboratory Systems 118 (2012) 246-259
  • Bassan P., Sachdevaa A., Kohler A., Hughes C., Henderson A., Boyle J., Shanks J.H., Brown M., Clarke N.W., Gardner P.: FTIR Microscopy of biological cells and tissue: data analysis using resonant Mie scattering (RMieS) EMSC algorithm. Analyst 137 (2012) 1370. 
  • Afseth N.K., Kohler A.: Extended multiplicative signal correction in vibrational spectroscopy, a tutorial. Chemometrics and Intelligent Laboratory Systems 117 (2012) 92.
• 2011

  • Hanafi M., Kohler A., Qannari M.: Connections between multiple co-inertia analysis and consensus principal component analysis. Chemometrics and Intelligent Laboratory Systems 106 (2011) 37-40. 
• 2010

  • Shapaval V., Møretrø T., Suso HP, Åsli AW., Schmitt J., Lilehaug D.,  Martens H, Boecker U., and Kohler A. A high-throughput microcultivation protocol for FTIR spectroscopic characterization and identification of fungi. Journal of Biophotonics 3 (2010)
  • Zimmermann B.: Characterization of pollen by vibrational spectroscopy. Appl. Spectrosc. 64 (2010) 1364-1373
  • Hanafi M., Kohler A., Quannari, M.: Shedding new light on Hierarchical Principal Component Analysis. Journal of Chemometics 24 (2010) 703-709.
  • Hassani S., Martens H., Qannari M., Hanafi M., Borge G.I., Kohler A.: Analysis of –omics data: Graphical interpretation- and validation tools in multi–block methods. Chemometrics and Intelligent Laboratory Systems 104 (2010) 140-153.
  • Bassan P., Kohler A., Martens H., Lee J., Byrne H.J., Dumas P., Gazi E., Brown M., Clarke N., Gardner P.: Resonant Mie Scattering (RMieS) Correction of Infrared Spectra from Highly Scattering Biological Samples. Analyst 135 (2010) 268.
• 2009

  • Kohler A., Böcker U., Warringer J., Blomberg A., Omholt S.W., Stark E., Martens H.: Reducing inter-replicate variation in Fourier-transform infrared spectroscopy by extended multiplicative signal correction. Applied spectroscopy 63 (2009) 296.
• 2008

  • Kohler A., Sulé-Suso J., Sockalingum G.D., Tobin M., Bahrami F., Yang Y., Pijanka J., Dumas P., Cotte M., Martens H.: Estimating and correcting Mie scattering in synchrotron based microscopic FTIR spectra by extended multiplicative signal correction (EMSC). Applied Spectroscopy 62 (2008) 259.
• 2006

  • Martens H., Bruun S.W., Adt I., Sockalingum G.D., Kohler A.: Pre-processing in biochemometrics: correction for path-length and temperature effects of water in FTIR bio-spectroscopy by EMSC. Journal of Chemometrics 20 (2006) 402.
  • Bruun S.W., Kohler A., Adt I., Sockalingum G.D., Manfait M., Martens H. 
    Correcting attenuated total reflection-Fourier transform infrared spectra for water vapour and carbon dioxide. Applied Spectroscopy 60 (2006) 1029.
  • Thennadil S., Martens H., Kohler A.: Physics-based Multiplicative Scatter Correction Approaches for Improving the Performance of Calibration Models. Applied Spectroscopy 60 (2006) 315.
• 2005

  • Kohler A., Kirschner C., Oust A., Martens H.: Extended multiplicative signal correction as a tool for separation and characterisation of physical and chemical information in Fourier transform infrared microscopy images of cryo-sections of beef loin. Applied Spectroscopy 59 (2005) 707.

• Johanne Heitmann Solheim: Modelling scattering and absorption in the vibrational spectroscopy of cells and tissues. NMBU, 2022.
• Simona Dzurendova: Sustainable fungal biorefineries : optimizing production of valuable metabolites in oleaginous Mucoromycota. NMBU, 2021.
• Maren Anna Brandsrud: Scattering and absorption in nano- and microstructured media. NMBU, 2020.
• Eivind Seim: Chaos enhanced light trapping in optically thin solar cells. NMBU, 2020.
• Gergely Kosa: High-throughput screening of filamentous fungi for single cell oil production by microplate cultivation and FTIR spectroscopy. NMBU, 2018.
• Claudia Colabella: NGS-based rDNA barcoding in fungal species identification and delimitation : limits, opportunities and relation to phenotypic HT FT-IR spectroscopy. NMBU, 2017.
• Tatiana Konevskikh: Modeling scattering and absorption in the infrared spectroscopy of cells and thin film. NMBU, 2017.
• Murat Bağcıoğlu: Multiscale vibrational spectroscopy of pollen. NMBU, 2016.

The following master's theses were conducted at the BioSpec group:

• Pål Rysdal Tveit: Development, Testing and Evaluation of the Second Generation of the Small-Scale Biodiesel Production Line “BioMax” (2020). Faculty of Science and Technology, NMBU, Ås, Norway
• Kai Fjær: Whole genome sequencing with Oxford Nanopore and de novo genome assemblies of lipid-producing fungi in phylum Mucoromycota (2020). Faculty of Science and Technology, NMBU, Ås, Norway.
• Simen Rønnekleiv Eriksen: Mie Ripples and Wiggles in Infrared Spectroscopy of Cells and Tissues (2020). Faculty of Science and Technology, NMBU, Ås, Norway
• Ole Thorbjørn Ileby Eriksen: Production of microbial oil from animal fat: process design, mass- and energy balance (2019). Faculty of Science and Technology, NMBU, Ås, Norway
• Snorre Niklas Galaaen: Finding optimal parameters for transesterification with heterogeneous and homogeneous catalysts (2019). Faculty of Science and Technology, NMBU, Ås, Norway
• Simen Arne Kirkhorn: Seasonal variation in chemical composition of Chamerion angustifolium pollen as measured by Fourier-Transform Infrared Spectroscopy (2019). Faculty of Environmental Sciences and Natural Resource Management, NMBU, Ås, Norway
• Tiril Aurora Lintvedt: Preprocessing strategies for infrared spectral data with limited numbers of spectral channels (2019) (thesis with non-disclosure agreement, limited access). Faculty of Science and Technology, NMBU, Ås, Norway
• Elisabeth Tatjana Grothe Hauge: Theoretical upscaling of the fermentation process for the conversion of animal fat rest materials into high-value biomass (2018). Faculty of Science and Technology, NMBU, Ås, Norway
• Johanne Heitmann Solheim: Optimizing the iterative Mie scatter correction algorithm for retrieving pure absorbance spectra in FTIR spectroscopy of cells and tissues (2017). Faculty of Science and Technology, NMBU, Ås, Norway
• Kristian Frafjord: Ray Dynamics in Array of Disks investigating Light Management in Thin-Film Solar Cells (2017). Faculty of Science and Technology, NMBU, Ås, Norway
• Denis Tafintsev: Multivariate Classification Methods for Spectroscopic Data with Multiple Class Structure (2016). Department of Mathematical Sciences and Technology, NMBU, Ås, Norway
• Tor Einar Møller: Assessment of Sparse Multi-Block Partial Least Squares Regression Model Performance in Analysis of High-Dimensional Phenotypic Data (2016). Department of Mathematical Sciences and Technology, NMBU, Ås, Norway
• Marlene Wilhelmine Jensen: Evaluation of a combined production of bioplastics and biogas from sludge compared with traditional biogas production (2016). Faculty of Science and Technology, NMBU, Ås, Norway
• Ida Kristine Kirkeslett Nielsen: Produksjon av Omega3 fett syrer og evaluering av virkning mot hjerte-karsykdommer (2016). Faculty of Science and Technology, NMBU, Ås, Norway and Pronova Biopharma AS, Sandefjord, Norway
• Morten Moltubakk: Biokjemisk omdanning av biprodukter fra matindustrien (2016). Faculty of Science and Technology, NMBU, Ås, Norway
• Frida Helen Maria Torgersen: Whispering Gallery Resonances in Dielectric Disks (2016). Department of Mathematical Sciences and Technology, NMBU, Ås, Norway
• Maren Anna Brandsrud: Understanding Resonant Structures of Coupled Disks for Light Management in Photovoltaics (2015). Department of Mathematical Sciences and Technology, NMBU, Ås, Norway
• Maria Høegh Berdahl: PollenID – an automated method for pollen analysis (2014). Department of Mathematical Sciences and Technology, NMBU, Ås, Norway
• Nora Klevjer Thøgersen: Use of the Resonance Structure of Mie Scattering for Refractive Index Estimation (2014). Department of Mathematical Sciences and Technology, NMBU, Ås, Norway
• Kjersti Misfjord: Pollen chemical composition determined by infrared spectroscopy : species identification and environmental effects (2014). Faculty of Environmental Science and Technology, NMBU, Ås, Norway
• Ketil Breckan Thovsen: Evaluation of Mie scatter approximation formulas for the scattering of infrared light at biological cells (2013). Department of Mathematical Sciences and Technology, NMBU, Ås, Norway

Master theses conducted at Nofima

The following theses were the result of scientific research at Nofima under the supervision of Achim Kohler:

• Karen Wahlstrøm Sanden: Development of vibrational spectroscopic techniques for measuring quality-related parameters of connective tissue (2011). Institute of Chemistry, Biotechnology and Food Science (IKBM), Norwegian University of Life Sciences, Ås, Norway.
• Ingvild Sørhus: Genome wide phenotype characterisation of yeasts by FTIR spectroscopy (2007). Institute of Chemistry, Biotechnology and Food Science (IKBM), Norwegian University of Life Sciences, Ås, Norway.
• Audun Flåtten: Determination of C22:5 and C22:6 marine fatty acids in pork fat with Fourier transform mid-infrared spectroscopy (2002). Institute of Chemistry, Biotechnology and Food Science (IKBM), Norwegian University of Life Sciences, Ås, Norway.
• Annette Veberg: Model system and analytical methods for the study of amyloidosis in tissue (2002). Institute of Chemistry, Biotechnology and Food Science (IKBM), Norwegian University of Life Sciences, Ås, Norway.
• Even Bringsdal: Segmentation of multispectral images with fuzzy clustering (2001). Institute of Chemistry, Biotechnology and Food Science (IKBM), Norwegian University of Life Sciences, Ås, Norway.