Biomedical Applications of Vibrational Spectroscopy - Hyperspectral Imaging - Chemometrics
 
 


Selected scientific studies for which CytoSpec has been used
(list incomplete, last revision Jul 2026)



 
 

  1. Wang, Y., M. Li, P. Yang, J. Lu, et al.
    Decoding Biofilm-Surface Interactions: A Hyperspectral Infrared Platform Links Interfacial Chemistry To Stress Adaptation and Assembly Mechanism.
    Langmuir, 2026. 42(21): p. 14685–14695.
    https://www.ncbi.nlm.nih.gov/pubmed/42154003

  2.  
  3. Wang, Y., Y. Ding, C. He, X. Zhou, et al.
    CIAdex: Label-Free Cell Identification and Aging Quantification Using Single-Cell Infrared Spectral Fingerprints.
    Advanced Photonics Research, 2026. 7(4): p. e202500258.
    https://doi.org/10.1002/adpr.202500258

  4.  
  5. Thumanu, K., S. Wattanavanitchakorn, R. Wansuksri, S. Cael, et al.
    Infrared imaging and multivariate analysis of structure, bioactive compounds, and starch digestibility of dough and mature stages rice.
    Journal of Cereal Science, 2026. 128: p. 104396.
    https://dx.doi.org/10.1016/j.jcs.2026.104396

  6.  
  7. Soni, T., D.E. Bedolla, and B.R. Wood
    Biological and Biomedical Applications of Optical Photothermal Infrared Spectroscopy (O-PTIR).
    Appl Spectrosc, 2026: p. 37028261447532.
    https://www.ncbi.nlm.nih.gov/pubmed/42142002

  8.  
  9. Seredin, P., D. Goloshchapov, T. Litvinova, Y. Peshkov, et al.
    Electric Field-Guided Biomimetic Mineralization of Enamel via Interfacial Engineering of Nanostructured HAp/PDA Coatings with Anisotropy and Enhanced Hardness.
    ACS Biomater Sci Eng, 2026. 12(4): p. 2130–2155.
    https://www.ncbi.nlm.nih.gov/pubmed/41778555

  10.  
  11. Santoni, C., G. Orilisi, S. Greco, V. Notarstefano, et al.
    Data science meets FTIR Imaging: a promising probe to improve the diagnosis of human uterine muscle lesions.
    Spectrochim Acta A Mol Biomol Spectrosc, 2026. 353: p. 127572.
    https://www.ncbi.nlm.nih.gov/pubmed/41707626

  12.  
  13. Pieta, E., A. Panek, M. Szczepanek-Dulska, and K. Pogoda
    Vimentin-targeting adaptogen withaferin A: Potential to selectively suppress cervical cancer - Single-cell microspectroscopic and molecular analysis.
    Biochim Biophys Acta Mol Basis Dis, 2026. 1872(3): p. 168125.
    https://www.ncbi.nlm.nih.gov/pubmed/41308894

  14.  
  15. Pham, T., P. Zhang, Z. Xu, Q.T. Luu, et al.
    Plasma-engineered microalgal coatings for modulating inflammation, preventing infection, and promoting tissue homeostasis.
    Cell Biomaterials, 2026. 2(6).
    https://dx.doi.org/10.1016/j.celbio.2026.100347

  16.  
  17. Nguyen, T.T., B. Indraratna, R. Gedela, and J. Vongsvivut
    The Monotonic and Cyclic Shear Behaviour of Low Plasticity Soil Treated with Biopolymer.
    Canadian Geotechnical Journal, 2026.
    https://doi.org/10.1139/cgj-2025-1040

  18.  
  19. Li, W., H. Zhang, Z. Wang, N.H. Nguyen, et al.
    Non-Thermal Plasma-Induced Selective Glycosidic Cleavage in Chitosan Produces Multifunctional Antibacterial Wound Care Biomaterials.
    Advanced Functional Materials, 2026. 36(33): p. e19776.
    https://dx.doi.org/10.1002/adfm.202519776

  20.  
  21. Li, M., X. Li, N. Ju, J. Lu, et al.
    Multiscale chemical cartography of single cells: Deconstructing endothelial heterogeneity with synchrotron infrared microspectroscopy.
    Spectrochim Acta A Mol Biomol Spectrosc, 2026. 357: p. 127793.
    https://www.ncbi.nlm.nih.gov/pubmed/41916207

  22.  
  23. Kuhnert, P., I. Brodard, and J. Jores
    Staphylococcus dromedarii sp. nov., isolated from dromedary (Camelus dromedarius).
    Int J Syst Evol Microbiol, 2026. 76(7).
    https://www.ncbi.nlm.nih.gov/pubmed/42384040

  24.  
  25. Kapuralage, W.P., J. Fletcher, K.S. Iyer, and S. Ciampi
    Turning Electrode Orientation into a Design Parameter: Gravity-Driven Convection for Coupling Electrochemical and Enzymatic Reactions.
    ChemElectroChem, 2026. 13(11): p. e70233.
    https://dx.doi.org/10.1002/celc.70233

  26.  
  27. Gharehgozlo, S., S.A. Polash, K.A. Mirihana, J. Matusiak, et al.
    Harnessing Bacterial Lipid Coatings on Gold Nanoparticles for Enhanced Cell Adhesion Applications.
    Small Sci, 2026. 6(2): p. e202500584.
    https://www.ncbi.nlm.nih.gov/pubmed/41709880

  28.  
  29. Fothedar, D.K., J. Hou, R.K. Balu, J. Vongsvivut, et al.
    Electrospun mixed matrix nanofiber membranes for sustainable dye removal from textile wastewater.
    Chemical Engineering Journal, 2026. 532: p. 174239.
    https://doi.org/10.1016/j.cej.2026.174239

  30.  
  31. Ding, D.Y., V.A. Bot, K.L. Chen, J.W. Groves, et al.
    Plasma proteomic signatures of cellular aging predict human disease.
    Nat Med, 2026. 32(6): p. 2060–2072.
    https://www.ncbi.nlm.nih.gov/pubmed/42297981

  32.  
  33. Chinnakorn, A., O. Weeranantanapan, K. Thumanu, P. Poopisut, et al.
    Synchrotron FTIR Microspectroscopy Imaging for Evaluating Cell Distribution on Electrospun Fibrous Scaffolds.
    ACS Omega, 2026. 11(20): p. 29933–29942.
    https://www.ncbi.nlm.nih.gov/pubmed/42222819

  34.  
  35. Bednarczyk, Z., T. Daniluk, E. Piktel, R. Bucki, et al.
    AFM-IR Insights Into Cell Wall Remodeling and Protein Reorganization in Candida auris Versus Candida albicans.
    ACS Omega, 2026. 11(11): p. 17720–17731.
    https://www.ncbi.nlm.nih.gov/pubmed/41908363

  36.  
  37. Zahra, S.T., Ł. Chajec, K.M. Tokarz, W. Makowski, et al.
    UVC light–induced metabolic modifications at the level of the plant cells and tissue determined by FTIR and Raman spectralomics.
    SSRN, 2025. (preprint).
    http://dx.doi.org/10.2139/ssrn.5877267

  38.  
  39. Yang, P., Y. Wang, F. Geng, J. Lü, et al.
    Infrared phenomics with 2D-COS unveils spatial heterogeneity and chemical evolution in a microbial biofilm.
    Vibrational Spectroscopy, 2025. 140: p. 103846.
    https://dx.doi.org/10.1016/j.vibspec.2025.103846

  40.  
  41. Wójtowicz, A., A. Mitura, U. Bracha, Z. Arent, et al.
    Post-mortem changes in tissue samples captured by infrared spectroscopy – studies in a rabbit model.
    Microchemical Journal, 2025. 213: p. 113803.
    https://dx.doi.org/10.1016/j.microc.2025.113803

  42.  
  43. Wang, Y., Y. Ding, C. He, X. Zhou, et al.
    CIAdex: Single-Cell FTIR Spectral Fingerprinting for Cell Identity Verification and Aging Quantification in Therapeutic Cell Manufacturing.
    bioRxiv, 2025: p. 2025.07.31.667910.
    http://biorxiv.org/content/early/2025/08/02/2025.07.31.667910.abstract

  44.  
  45. Tran, T.L.C., A.R. Klein, J. Vongsvivut, Y. Wang, et al.
    Synchrotron macro-ATR-FTIR: a powerful technique for analyzing changes in plant cell chemical composition after surfactant exposure.
    Plant J, 2025. 122(4): p. e70227.
    https://www.ncbi.nlm.nih.gov/pubmed/40408558

  46.  
  47. Soini, S.A., N. Domingo, M. Ozparpucu, E. Windeisen-Holzhauser, et al.
    Nanoscale Examination of Chemical and Enzymatic Degradation of Plant Cell Walls.
    Biomacromolecules, 2025. 26(12): p. 8630–8640.
    https://www.ncbi.nlm.nih.gov/pubmed/41277509

  48.  
  49. Soini, S.A.
    Mineralization, Characterization and Selective Degradation of Lignocellulosic Biocomposite Materials.
    Florida Atlantic University, 2025. PhD Thesis.
    https://digitalcommons.fau.edu/etd_general/20/

  50.  
  51. Seredin, P.V., D.L. Goloshchapov, D.E. Kostomakha, Y.A. Peshkov, et al.
    Influence of high-energy helium ions on the characteristics of GaN epilayers with different n-type doping levels, grown on GaN-MOCVD/c-Al2O3 templates by PA MBE.
    Surfaces and Interfaces, 2025. 72: p. 107275.
    https://dx.doi.org/10.1016/j.surfin.2025.107275

  52.  
  53. Scanaliato, J.P., D.J. Hall, S. Liu, G.P. Nicholson, et al.
    Suture debris from high-tensile sutures contributes significantly to particle-induced tissue response in shoulder arthroplasty.
    J Shoulder Elbow Surg, 2025. 34(6S): p. S106–S116.
    https://www.ncbi.nlm.nih.gov/pubmed/40015472

  54.  
  55. Reeve, K., N. Dempsey, B. Milford, M. Willans, et al.
    A comparison of synchrotron micro-FTIR spectroscopic analysis of lipid composition in frozen-hydrated and air-dried mouse brain tissue.
    Infrared Physics & Technology, 2025. 151: p. 106138.
    https://dx.doi.org/10.1016/j.infrared.2025.106138

  56.  
  57. Pragnaca, A., A. Antolak, Z.J. Krysiak, M. Lesniak, et al.
    Marker-independent vibrational spectroscopy imaging recognizes the hypoxia effect in the human brain endothelium.
    Sci Rep, 2025. 15(1): p. 26112.
    https://www.ncbi.nlm.nih.gov/pubmed/40681622

  58.  
  59. Pieta, L., A. Kisielewska, A. Warzybok, I. Piwonski, et al.
    Long-lived photoexcitation probed by photo-induced enhanced Raman spectroscopy: unveiling charge dynamics in Ag-TiO(2) nano-heterojunctions.
    Sci Rep, 2025. 15(1): p. 5587.
    https://www.ncbi.nlm.nih.gov/pubmed/39955436

  60.  
    Paschalis, E.P. and G. Mabilleau, Fourier Transform Infrared Imaging of Bone, in Bone Research Protocols, A.I. Idris, Editor. 2025, Springer US: New York, NY. p. 671–681.
  61. Li, X., S.G. Stark, X. Liu, M. Wei, et al.
    VIP-OT: Dissecting Single-Cell Biochemical State Dynamics under Perturbation via Vibrational Painting and Optimal Transport.
    bioRxiv, 2025: p. 2025.12.09.693255.
    http://biorxiv.org/content/early/2025/12/12/2025.12.09.693255.abstract

  62.  
  63. Lammer, M., M. Schmuth, P. Bellmann, V. Moosbrugger-Martinz, et al.
    Exploring Fourier-Transform Infrared Microscopy for Scabies Mite Detection in Human Tissue Sections: A Preliminary Technical Feasibility Study.
    Int J Mol Sci, 2025. 26(23).
    https://www.ncbi.nlm.nih.gov/pubmed/41373748

  64.  
  65. Konkol, J.A.
    Advanced Spectroscopic Analytical Techniques in Chemical Reaction Engineering for Pharmaceutical Systems.
    Rutgers University, 2025. PhD Thesis.
    https://dx.doi.org/10.7282/t3-dh68-3t84

  66.  
  67. Komaniecka, I., K. Zebracki, A. Mazur, K. Susniak, et al.
    The Absence of a Very Long Chain Fatty Acid (VLCFA) in Lipid A Impairs Agrobacterium fabrum Plant Infection and Biofilm Formation and Increases Susceptibility to Environmental Stressors.
    Molecules, 2025. 30(5).
    https://www.ncbi.nlm.nih.gov/pubmed/40076305

  68.  
  69. Huang, L.Z.Y., R. Penman, R. Kariuki, P.H.A. Vaillant, et al.
    Graveyard effects of antimicrobial nanostructured titanium over prolonged exposure to drug resistant bacteria and fungi.
    Nanoscale, 2025. 17(6): p. 3170–3188.
    https://www.ncbi.nlm.nih.gov/pubmed/39713977

  70.  
  71. Hollings, A.L., G.C. Ellison, M. Willans, V. Lam, et al.
    Subventricular Accumulation of Cu in the Aging Mouse Brain Does Not Associate with Anticipated Increases in Markers of Oxidative Stress.
    ACS Chem Neurosci, 2025. 16(3): p. 292–302.
    https://www.ncbi.nlm.nih.gov/pubmed/39873122

  72.  
  73. Garemark, J., M. Ritter, C.H. Dreimol, R. Lopes Laranjeira, et al.
    Salt-In-Wood Piezoelectric Power Generators with Circular Materials Design for High-Performance Sustainable Energy Harvesting.
    Advanced Functional Materials, 2025. 35(25): p. 2418454.
    https://doi.org/10.1002/adfm.202418454

  74.  
  75. Dreimol, C.H., J. Edberg, R. Kürsteiner, M. Ritter, et al.
    Iron-Catalyzed Laser-Induced Graphitization Enabling Current Collector-Free Electrodes With Spatially Tunable Iron/Iron Oxide Phases.
    Advanced Materials, 2025. 37(41): p. e08812.
    https://doi.org/10.1002/adma.202508812

  76.  
  77. Detwiler Gray, C., A. Coronel-Zegarra, A. Martin, O. Wang, et al.
    Engineering Curved Strontium Sulfate Crystals through Biomimetic Crystallization.
    ACS Applied Materials & Interfaces, 2025. 17(45): p. 62239–62250.
    https://dx.doi.org/10.1021/acsami.5c10415

  78.  
  79. Dariusz, K., B. Gieroba, K. Niedzwiadek, M. Krysa, et al.
    Evaluation of Film-Forming Properties of alpha-1,3-Glucan Obtained from "Chicken of the Woods" Mushroom (Laetiporus sulphureus): Film Development, Characterization, and Biodegradation Assessment.
    Molecules, 2025. 30(7).
    https://www.ncbi.nlm.nih.gov/pubmed/40286251

  80.  
  81. Arunachalam, N., R. Balu, J. Vongsvivut, N.K. Dutta, et al.
    Rapid photo-crosslinkable pectin methacrylate reinforced self-healing adhesive hydrogels.
    Polymer, 2025. 338: p. 129090.
    https://dx.doi.org/10.1016/j.polymer.2025.129090

  82.  
  83. Alemie, M.N., R. Bright, N. Ninan, T. Ngoc Le, et al.
    Deciphering the Role of Biomaterial Surface Chemistry in Toll-Like Receptor-Mediated Immune Modulation.
    ACS Biomater Sci Eng, 2025. 11(11): p. 6575–6592.
    https://www.ncbi.nlm.nih.gov/pubmed/40561158

  84.  
  85. Alemie, M.N., R. Bright, N. Ninan, P.R. Dabare, et al.
    Biomaterial Surface Nanotopography Induced IgG Unfolding Modulates Macrophage Innate Immune Responses.
    ACS Appl Mater Interfaces, 2025. 17(35): p. 49286–49303.
    https://www.ncbi.nlm.nih.gov/pubmed/40757611

  86.  
  87. Yin, J.
    Nanocellulose-based materials for sustainable soil remediation and water purification.
    Faculty of Graduate Studies and Research, University of Regina, 2024. PhD Thesis.
    https://hdl.handle.net/10294/16859

  88.  
  89. Wang, Y., Y. Wang, J. Lu, and X. Li
    Unraveling the Drug Response Heterogeneity with Single-Cell Vibrational Phenomics.
    Cell Biochem Biophys, 2024. 82(3): p. 2503–2510.
    https://www.ncbi.nlm.nih.gov/pubmed/38914839

  90.  
  91. Togni, L., M. Furlani, A. Belloni, N. Riberti, et al.
    Biomolecular alterations temporally anticipate microarchitectural modifications of collagen in oral tongue squamous cell carcinoma.
    iScience, 2024. 27(7): p. 110303.
    https://www.ncbi.nlm.nih.gov/pubmed/39040062

  92.  
  93. Stanca, S.E., S. Mogavero, W. Fritzsche, C. Krafft, et al.
    Isotope labeled 3D-Raman confocal imaging and atomic force microscopy study on epithelial cells interacting with the fungus Candida albicans.
    Nanomedicine, 2024. 59: p. 102750.
    https://www.ncbi.nlm.nih.gov/pubmed/38734040

  94.  
  95. Somu, D.R.
    Looking into the Deep: Investigating Micro- and Nanoscale Biomineral Architecture of Marine Organisms Using Advanced Characterization Techniques.
    Florida Atlantic University, 2024. PhD Thesis.
    https://bib-pubdb1.desy.de/record/617780

  96.  
  97. Soini, S.A., S.M. Feliciano, B.G. Duersch, and V.M. Merk
    Nanocrystalline iron hydroxide lignocellulose filters for arsenate remediation.
    RSC Sustainability, 2024.
    http://dx.doi.org/10.1039/D3SU00326D

  98.  
  99. Shaw, Z.L.
    Low-Dimensional Materials for Antimicrobial Treatment.
    RMIT University, 2024. PhD Thesis.
    https://doi.org/10.25439/rmt.27200649

  100.  
  101. Seredin, P.V., S.S. Sharofidinov, D.L. Goloshchapov, Y.A. Peshkov, et al.
    Nanoscale Raman mapping of elastic stresses in multilayer heterostructure based on multi-period GaN/AlN superlattices grown using HVPE technology on hybrid SiC/Si substrate.
    Optical Materials, 2024. 150: p. 115184.
    https://doi.org/10.1016/j.optmat.2024.115184

  102.  
  103. Seredin, P.V., D.L. Goloshchapov, D.E. Kostomakha, Y.A. Peshkov, et al.
    Comparative studies of GaN, n-GaN and n+-GaN contact layers on GaN/c-Al2O3 virtual substrates synthesized by PA MBE.
    Optical Materials, 2024. 152: p. 115471.
    https://dx.doi.org/10.1016/j.optmat.2024.115471

  104.  
  105. Rawat, S., J. Vongsvivut, L. Zhang, and Y.X. Zhang
    Mechanical performance and microstructure evolution of MgO-doped high volume GGBFS-based engineered cementitious composites at room and elevated temperatures.
    Journal of Building Engineering, 2024. 98: p. 111437.
    https://dx.doi.org/10.1016/j.jobe.2024.111437

  106.  
  107. Raja Somu, D., M. Fuentes, L. Lou, A. Agarwal, et al.
    Revealing chemistry-structure-function relationships in shark vertebrae across length scales.
    Acta Biomaterialia, 2024. 189: p. 377–387.
    https://dx.doi.org/10.1016/j.actbio.2024.09.041

  108.  
  109. Prater, C.B., K.J. Kjoller, A.P.D. Stuart, D.A. Grigg, et al.
    Widefield Super-Resolution Infrared Spectroscopy and Imaging of Autofluorescent Biological Materials and Photosynthetic Microorganisms Using Fluorescence Detected Photothermal Infrared (FL-PTIR).
    Appl Spectrosc, 2024. 78(11): p. 1208–1219.
    https://www.ncbi.nlm.nih.gov/pubmed/38803165

  110.  
  111. Prater, C.B., M. Kansiz, and J.-X. Cheng
    A tutorial on optical photothermal infrared (O-PTIR) microscopy.
    APL Photonics, 2024. 9(9).
    https://dx.doi.org/10.1063/5.0219983

  112.  
  113. Penman, R., R. Kariuki, Z.L. Shaw, C. Dekiwadia, et al.
    Gold nanoparticle adsorption alters the cell stiffness and cell wall bio-chemical landscape of Candida albicans fungal cells.
    J Colloid Interface Sci, 2024. 654(Pt A): p. 390–404.
    https://www.ncbi.nlm.nih.gov/pubmed/37852025

  114.  
  115. Nowakowska, A.M., P. Dawiec, K. Chrabąszcz, A. Pieczara, et al.
    Cellular lipid droplets observed in absorption, emission, and scattering – potential and limitations of various spectroscopic methods.
    Asian Journal of Physics, 2024. 33(1&2): p. 1–14.

     
  116. Mezzelani, M., V. Notarstefano, M. Panni, E. Giorgini, et al.
    Exposure to environmental pharmaceuticals affects the macromolecular composition of mussels digestive glands.
    Sci Rep, 2024. 14(1): p. 9369.
    https://www.ncbi.nlm.nih.gov/pubmed/38653774

  117.  
  118. Mastantuoni, G.G., V.C. Tran, J. Garemark, C.H. Dreimol, et al.
    Rationally designed conductive wood with mechanoresponsive electrical resistance.
    Composites Part A: Applied Science and Manufacturing, 2024. 178: p. 107970.
    https://dx.doi.org/10.1016/j.compositesa.2023.107970

  119.  
  120. Liu, X., L. Shi, Z. Zhao, J. Shu, et al.
    VIBRANT: spectral profiling for single-cell drug responses.
    Nat Methods, 2024.
    https://www.ncbi.nlm.nih.gov/pubmed/38374266

  121.  
  122. Liu, X.
    Leveraging Infrared Imaging With Machine Learning for Phenotypic Profiling.
    Columbia University, 2024. PhD Thesis.

     
  123. Liu, H., J. Ma, P. Yang, F. Geng, et al.
    Comparative analysis of biofilm characterization of probiotic Escherichia coli.
    Front Microbiol, 2024. 15: p. 1365562.
    https://www.ncbi.nlm.nih.gov/pubmed/38559351

  124.  
  125. Leibnitz, O., C.H. Dreimol, S. Stucki, D. Sanz-Pont, et al.
    Renewable wood-phase change material composites for passive temperature regulation of buildings.
    Next Materials, 2024. 2: p. 100132.
    https://dx.doi.org/10.1016/j.nxmate.2024.100132

  126.  
  127. Krysa, M., K. Susniak, C.L. Song, M. Szymanska-Chargot, et al.
    Multimodal Spectroscopic Studies to Evaluate the Effect of Nod-Factor-Based Fertilizer on the Maize (Zea mays) Stem.
    Appl Spectrosc, 2024. 78(6): p. 591–604.
    https://www.ncbi.nlm.nih.gov/pubmed/38529584

  128.  
  129. Koch, S.
    Towards Bio-Based Delignified Wood-Reinforced Composites with Aqueous Matrix Systems.
    ETH Zürich, 2024. PhD Thesis.
    https://doi.org/10.3929/ethz-b-000673818

  130.  
  131. Kamińska, K., M. Tchurzyk, O. Fraczek, A. Szlaga, et al.
    Effect of Vitamin D3 on Uterine Morphology and Insulin Signaling in a Polycystic Ovary Syndrome (PCOS) Rat Model.
    Annals of Animal Science, 2024. 24(4): p. 1197– 1209.
    https://dx.doi.org/10.2478/aoas-2024-0038

  132.  
  133. Huang, L.
    Investigating Nanostructured Titanium Surfaces for Advanced Antimicrobial Applications.
    RMIT University, 2024. PhD Thesis.
    https://doi.org/10.25439/rmt.28711523

  134.  
  135. Guo, H., X. Wang, C. Li, H.F. Mohamed, et al.
    Ignited competition: Impact of bioactive extracellular compounds on organelle functions and photosynthetic systems in harmful algal blooms.
    Plant Cell Environ, 2024. 47(12): p. 4615–4629.
    https://www.ncbi.nlm.nih.gov/pubmed/39047015

  136.  
  137. Dreimol, C.H., R. Kursteiner, M. Ritter, A. Parrilli, et al.
    Iron-Catalyzed Laser-Induced Graphitization - Multiscale Analysis of the Structural Evolution and Underlying Mechanism.
    Small, 2024. 20(49): p. e2405558.
    https://www.ncbi.nlm.nih.gov/pubmed/39279332

  138.  
  139. Cao, Y., B. Zhang, X. Song, G. Dong, et al.
    Polyhydroxybutyrate Plastics Show Rapid Disintegration and More Straightforward Biogeochemical Impacts than Polyethylene under Marine Biofragmentation.
    Environ Sci Technol, 2024. 58(32): p. 14496–14505.
    https://www.ncbi.nlm.nih.gov/pubmed/39047231

  140.  
  141. Brunner, A., S.H. Unterberger, H. Auer, T. Hautz, et al.
    Suitability of Fourier transform infrared microscopy for the diagnosis of cystic echinococcosis in human tissue sections.
    J Biophotonics, 2024: p. e202300513.
    https://www.ncbi.nlm.nih.gov/pubmed/38531615

  142.  
  143. Bhattacharya, S., A. Page, and P. Shinde
    Development and Evaluation of Potato Starch and Chitosan Modified Capecitabine Nanoparticles for Enhanced Colon Cancer Treatment: A Comprehensive Study on PhysicalProperties, In vitro Efficacy, and In vivo Targeting.
    Research Square, 2024. (preprint).
    https://doi.org/10.21203/rs.3.rs-3849444/v1

  144.  
  145. Benetti, C., A. Blay, L. Correa, M.A. Verlangieri, et al.
    ATR-FTIR spectroscopy imaging of bone repair in mandibular laser-osteotomy.
    J Biophotonics, 2024: p. e202400066.
    https://www.ncbi.nlm.nih.gov/pubmed/39048930

  146.  
  147. Belloni, A., G. Argentieri, G. Orilisi, V. Notarstefano, et al.
    New insights on collagen structural organization and spatial distribution around dental implants: a comparison between machined and laser-treated surfaces.
    J Transl Med, 2024. 22(1): p. 120.
    https://www.ncbi.nlm.nih.gov/pubmed/38297308

  148.  
  149. Augustyniak, K., M. Lesniak, H. Latka, M.P. Golan, et al.
    Adipose-derived mesenchymal stem cells' adipogenesis chemistry analyzed by FTIR and Raman metrics.
    J Lipid Res, 2024. 65(7): p. 100573.
    https://www.ncbi.nlm.nih.gov/pubmed/38844049

  150.  
  151. Augustyniak, K., M. Lesniak, M.P. Golan, H. Latka, et al.
    Chemical Landscape of Adipocytes Derived from 3T3-L1 Cells Investigated by Fourier Transform Infrared and Raman Spectroscopies.
    Int J Mol Sci, 2024. 25(22).
    https://www.ncbi.nlm.nih.gov/pubmed/39596337

  152.  
  153. Alemie, M.N., R. Bright, N.H. Nguyen, V.K. Truong, et al.
    Surface Chemistry Induced IgG Unfolding and Modulation of Immune Responses.
    ACS Appl Mater Interfaces, 2024. 16(38): p. 50507–50523.
    https://www.ncbi.nlm.nih.gov/pubmed/39263871

  154.  
  155. Yang, M., B. Zhang, X. Chen, Q. Kang, et al.
    Transport of Microplastic and Dispersed Oil Co-contaminants in the Marine Environment.
    Environ Sci Technol, 2023. 57(14): p. 5633–5645.
    https://www.ncbi.nlm.nih.gov/pubmed/36972473

  156.  
  157. Willans, M., E. Szczecinski, C. Roocke, S. Williams, et al.
    Development of a rapid detection protocol for microplastics using reflectance-FTIR spectroscopic imaging and multivariate classification.
    Environmental Science: Advances, 2023. 2(4): p. 663–674.
    http://dx.doi.org/10.1039/D2VA00313A

  158.  
  159. Wang, Y., H. Liu, F. Geng, P. Yang, et al.
    Label-free analysis of biofilm phenotypes by infrared micro- and correlation spectroscopy.
    Anal Bioanal Chem, 2023. 415(17): p. 3515–3523.
    https://www.ncbi.nlm.nih.gov/pubmed/37193875

  160.  
  161. Veettil, T.C.P., R.N. Duffin, S. Roy, P.C. Andrews, et al.
    Biochemical characterization and discrimination of Leishmania major parasites and infected macrophages with Raman spectroscopy and chemometrics.
    Clinical Spectroscopy, 2023. 5: p. 100024.
    https://dx.doi.org/10.1016/j.clispe.2023.100024

  162.  
  163. Thepbandit, W., A. Srisuwan, S. Siriwong, S. Nawong, et al.
    Bacillus vallismortis TU-Orga21 blocks rice blast through both direct effect and stimulation of plant defense.
    Front Plant Sci, 2023. 14: p. 1103487.
    https://www.ncbi.nlm.nih.gov/pubmed/36890906

  164.  
  165. Seredin, P., D. Goloshchapov, N. Buylov, V. Kashkarov, et al.
    A Study of the Peculiarities of the Formation of a Hybrid Interface Based on Polydopamine between Dental Tissues and Dental Composites, Using IR and Raman Microspectroscopy, at the Submicron Level.
    Int J Mol Sci, 2023. 24(14).
    https://www.ncbi.nlm.nih.gov/pubmed/37511394

  166.  
  167. Ranathunga, A., K. Thumanu, W. Kiatponglarp, S. Siriwong, et al.
    Image mapping of biological changes and structure-function relationship during rice grain development via Synchrotron FTIR spectroscopy.
    Food Chemistry Advances, 2023. 2: p. 100290.
    https://dx.doi.org/10.1016/j.focha.2023.100290

  168.  
  169. Pax, A.P., L. Ong, R.A. Pax, J. Vongsvivut, et al.
    Industrial freezing and tempering for optimal functional properties in thawed Mozzarella cheese.
    Food Chem, 2023. 405(Pt B): p. 134933.
    https://www.ncbi.nlm.nih.gov/pubmed/36410214

  170.  
  171. Okubanjo, S.S., S.J. Brooke, R. Ward, N. Mostert, et al.
    The use of confocal Raman microscopy and microfluidic channels to monitor the location and mobility of β-carotene incorporated in droplet-stabilized oil-in-water emulsions.
    Current Research in Food Science, 2023. 6: p. 100515.
    https://dx.doi.org/10.1016/j.crfs.2023.100515

  172.  
  173. Nguyen, T.T., P. Zhang, J. Bi, N.H. Nguyen, et al.
    Silver─Gallium Nano-Amalgamated Particles as a Novel, Biocompatible Solution for Antibacterial Coatings.
    Advanced Functional Materials, 2023. n/a(n/a): p. 2310539.
    https://dx.doi.org/10.1002/adfm.202310539

  174.  
  175. Nguyen, T.T., N.H. Nguyen, G.T. Pham, J. Vongsvivut, et al.
    Synchrotron macro ATR-FTIR micro-spectroscopy to unlock silver ion-induced biochemical alterations in bacteria.
    Materials Advances, 2023. 4(23): p. 6342–6352.
    http://dx.doi.org/10.1039/D3MA00598D

  176.  
  177. Milewska, A., G. Baekelandt, S. Boutaieb, V. Mozin, et al.
    In-line monitoring of protein concentration with MIR spectroscopy during UFDF.
    Eng Life Sci, 2023. 23(2): p. e2200050.
    https://www.ncbi.nlm.nih.gov/pubmed/36751473

  178.  
  179. Kujdowicz, M., D. Perez-Guaita, P. Chlosta, K. Okon, et al.
    Evaluation of grade and invasiveness of bladder urothelial carcinoma using infrared imaging and machine learning.
    Analyst, 2023. 148(2): p. 278–285.
    https://www.ncbi.nlm.nih.gov/pubmed/36525038

  180.  
  181. Kujdowicz, M., D. Perez-Guaita, P. Chlosta, K. Okon, et al.
    Fourier transform IR imaging of primary tumors predicts lymph node metastasis of bladder carcinoma.
    Biochim Biophys Acta Mol Basis Dis, 2023. 1869(8): p. 166840.
    https://www.ncbi.nlm.nih.gov/pubmed/37558006

  182.  
  183. Konkol, J.A. and G. Tsilomelekis
    Porchlight: An Accessible and Interactive Aid in Preprocessing of Spectral Data.
    Journal of Chemical Education, 2023. 100(3): p. 1326–1332.
    https://dx.doi.org/10.1021/acs.jchemed.2c00812

  184.  
  185. Kim, W., Y. Wang, J. Vongsvivut, Q. Ye, et al.
    On surface composition and stability of beta-carotene microcapsules comprising pea/whey protein complexes by synchrotron-FTIR microspectroscopy.
    Food Chem, 2023. 426: p. 136565.
    https://www.ncbi.nlm.nih.gov/pubmed/37302310

  186.  
  187. Kazimierczak, P., G. Kalisz, A. Sroka-Bartnicka, and A. Przekora
    Effectiveness of the production of tissue-engineered living bone graft: a comparative study using perfusion and rotating bioreactor systems.
    Sci Rep, 2023. 13(1): p. 13737.
    https://www.ncbi.nlm.nih.gov/pubmed/37612367

  188.  
  189. Kaminska, K., E. Wiercigroch, K. Malek, and M. Grzesiak
    Biomolecular composition of porcine ovarian follicles following in vitro treatment of vitamin D(3) and insulin alone or in combination.
    Reprod Biol, 2023. 23(4): p. 100818.
    https://www.ncbi.nlm.nih.gov/pubmed/37862827

  190.  
  191. Hayles, A., R. Bright, N.H. Nguyen, V.K. Truong, et al.
    Vancomycin tolerance of adherent Staphylococcus aureus is impeded by nanospike-induced physiological changes.
    NPJ Biofilms Microbiomes, 2023. 9(1): p. 90.
    https://www.ncbi.nlm.nih.gov/pubmed/38030708

  192.  
  193. Evans, C.W., A. Egid, S.S.A. Mamsa, D.J. Paterson, et al.
    Elemental Mapping in a Preclinical Animal Model Reveals White Matter Copper Elevation in the Acute Phase of Central Nervous System Trauma.
    ACS Chem Neurosci, 2023. 14(18): p. 3518–3527.
    https://www.ncbi.nlm.nih.gov/pubmed/37695072

  194.  
  195. Buzalewicz, I., A. Ulatowska-Jarża, M. Gąsior-Głogowska, M. Wolf-Baca, et al.
    New measurements modalities for multi-parametric, label-free and non-contact detection of biofilm formation on stainless steel and glass surfaces.
    Measurement, 2023. 210: p. 112588.
    https://dx.doi.org/10.1016/j.measurement.2023.112588

  196.  
  197. Bryant, S.J., Z.L. Shaw, L.Z.Y. Huang, A. Elbourne, et al.
    Insights into Chemical Interactions and Related Toxicities of Deep Eutectic Solvents with Mammalian Cells Observed Using Synchrotron Macro–ATR–FTIR Microspectroscopy.
    Biophysica, 2023. 3(2): p. 318–334.
    https://dx.doi.org/10.3390/biophysica3020021

  198.  
  199. Augustyniak, K., A. Pragnaca, M. Lesniak, M. Halasa, et al.
    Molecular tracking of interactions between progenitor and endothelial cells via Raman and FTIR spectroscopy imaging: a proof of concept of a new analytical strategy for in vitro research.
    Cell Mol Life Sci, 2023. 80(11): p. 329.
    https://www.ncbi.nlm.nih.gov/pubmed/37851174

  200.  
  201. Alghamdi, S.S., R. Balu, J. Vongsvivut, V.K. Truong, et al.
    Exploring the Role of Compatibilizers in Modulating the Interfacial Phenomena and Improving the Properties of Cork–Nylon Composites.
    ACS Applied Polymer Materials, 2023. 5(9): p. 6990–7008.
    https://dx.doi.org/10.1021/acsapm.3c01049

  202.  
  203. Zancajo, V.M.R., S. Diehn, R. Elbaum, and J. Kneipp
    Multimodal Imaging of Silicified Sorghum Leaves.
    Analysis & Sensing, 2022. 2(5): p. e202200006.
    https://doi.org/10.1002/anse.202200006

  204.  
  205. Yin, J., G. Huang, C. An, and R. Feng
    Nanocellulose enhances the dispersion and toxicity of ZnO NPs to green algae Eremosphaera viridis.
    Environmental Science: Nano, 2022. 9(1): p. 393–405.
    http://dx.doi.org/10.1039/D1EN00881A

  206.  
  207. Tosta, M.R., L.L. Prates, X. Feng, M.E. Rodriguez-Espinosa, et al.
    Research progress in structural and nutritional characterization and technologically processing impact on cool-season adapted oat and barley cereal kernels with wet chemistry and advanced vibrational molecular spectroscopy.
    Crit Rev Food Sci Nutr, 2022. 62(19): p. 5130–5139.
    https://www.ncbi.nlm.nih.gov/pubmed/33612010

  208.  
  209. Sommer, F., B. Sun, J. Fischer, M. Goldammer, et al.
    Hyperspectral Imaging during Normothermic Machine Perfusion-A Functional Classification of Ex Vivo Kidneys Based on Convolutional Neural Networks.
    Biomedicines, 2022. 10(2).
    https://www.ncbi.nlm.nih.gov/pubmed/35203605

  210.  
  211. Siriwong, S., W. Tanthanuch, D. Srisamut, C. Chantarakhon, et al.
    Performance Evaluation of Focal Plane Array (FPA)-FTIR and Synchrotron Radiation (SR)-FTIR Microspectroscopy to Classify Rice Components.
    Microsc Microanal, 2022: p. 1–10.
    https://www.ncbi.nlm.nih.gov/pubmed/36062386

  212.  
  213. Shaw, Z.L., S. Cheeseman, L.Z.Y. Huang, R. Penman, et al.
    Illuminating the biochemical interaction of antimicrobial few-layer black phosphorus with microbial cells using synchrotron macro-ATR-FTIR.
    J Mater Chem B, 2022.
    https://www.ncbi.nlm.nih.gov/pubmed/35024716

  214.  
  215. Seredin, P., D. Goloshchapov, A. Emelyanova, N. Buylov, et al.
    Engineering of biomimetic mineralized layer formed on the surface of natural dental enamel.
    Results in Engineering, 2022. 15: p. 100583.
    https://dx.doi.org/10.1016/j.rineng.2022.100583

  216.  
  217. Schirer, A., Y. El Khoury, C. Patte-Mensah, C. Klein, et al.
    Raman and infrared microscopic study on the lipid redistribution in Alzheimer diseased murine tissue.
    Asian Journal of Physics, 2022. 31(2): p. 259–264.
    https://hal.science/hal-03752544

  218.  
  219. Muller, K., Z. Szikszai, A. Csepregi, R. Huszank, et al.
    Proton beam irradiation induces invisible modifications under the surface of painted parchment.
    Sci Rep, 2022. 12(1): p. 113.
    https://www.ncbi.nlm.nih.gov/pubmed/34996914

  220.  
  221. Molee, W., W. Khosinklang, P. Tongduang, K. Thumanu, et al.
    Biomolecules, Fatty Acids, Meat Quality, and Growth Performance of Slow-Growing Chickens in an Organic Raising System.
    Animals (Basel), 2022. 12(5).
    https://www.ncbi.nlm.nih.gov/pubmed/35268139

  222.  
  223. Liu, Y.J., M. Kyne, S. Wang, S. Wang, et al.
    A User-Friendly Platform for Single-Cell Raman Spectroscopy Analysis.
    Spectrochim Acta A Mol Biomol Spectrosc, 2022. 282: p. 121686.
    https://www.ncbi.nlm.nih.gov/pubmed/35921751

  224.  
  225. Liu, X., L. Shi, L. Shi, M. Wei, et al.
    Towards Mapping Mouse Metabolic Tissue Atlas by Mid-Infrared Imaging with Heavy Water Labeling.
    Adv Sci (Weinh), 2022: p. e2105437.
    https://www.ncbi.nlm.nih.gov/pubmed/35319171

  226.  
  227. Licini, C., V. Notarstefano, S. Marchi, G. Cerqueni, et al.
    Altered type I collagen networking in osteoporotic human femoral head revealed by histomorphometric and Fourier transform infrared imaging correlated analyses.
    Biofactors, 2022. 48(5): p. 1089–1110.
    https://www.ncbi.nlm.nih.gov/pubmed/35661288

  228.  
  229. Leng, W., S. He, B. Lu, R. Thirumalai, et al.
    Raman imaging: An indispensable technique to comprehend the functionalization of lignocellulosic material.
    Int J Biol Macromol, 2022. 220: p. 159–174.
    https://www.ncbi.nlm.nih.gov/pubmed/35981669

  230.  
  231. Lam, V., J. Phillips, E. Harrild, R.J. Tidy, et al.
    Association between ageing, brain chemistry and white matter volume revealed with complementary MRI and FTIR brain imaging.
    Analyst, 2022. 147(23): p. 5274–5282.
    https://www.ncbi.nlm.nih.gov/pubmed/36346247

  232.  
  233. Krysa, M., A. Makuch-Kocka, K. Susniak, T. Plech, et al.
    Spectroscopic Evaluation of the Potential Neurotoxic Effects of a New Candidate for Anti-Seizure Medication—TP-315 during Chronic Administration (In Vivo).
    International Journal of Molecular Sciences, 2022. 23(9): p. 4607.
    https://dx.doi.org/doi:10.3390/ijms23094607

  234.  
  235. Kranz, S., M. Heyder, S. Mueller, A. Guellmar, et al.
    Remineralization of Artificially Demineralized Human Enamel and Dentin Samples by Zinc-Carbonate Hydroxyapatite Nanocrystals.
    Materials (Basel), 2022. 15(20).
    https://www.ncbi.nlm.nih.gov/pubmed/36295240

  236.  
  237. Kolodziej, M., E. Kaznowska, S. Paszek, J. Cebulski, et al.
    Characterisation of breast cancer molecular signature and treatment assessment with vibrational spectroscopy and chemometric approach.
    PLoS One, 2022. 17(3): p. e0264347.
    https://www.ncbi.nlm.nih.gov/pubmed/35263369

  238.  
  239. Koch, S.M., M. Pillon, T. Keplinger, C.H. Dreimol, et al.
    Intercellular Matrix Infiltration Improves the Wet Strength of Delignified Wood Composites.
    ACS Appl Mater Interfaces, 2022. 14(27): p. 31216–31224.
    https://www.ncbi.nlm.nih.gov/pubmed/35767702

  240.  
  241. Keung, C., P. Heraud, N. Kuk, R. Lim, et al.
    Fourier-Transform Infra-Red Microspectroscopy Can Accurately Diagnose Colitis and Assess Severity of Inflammation.
    Int J Mol Sci, 2022. 23(5).
    https://www.ncbi.nlm.nih.gov/pubmed/35269993

  242.  
  243. Kamran, M.A., A. Alshahrani, A.A. Alnazeh, S.E. Udeabor, et al.
    Ultrastructural and physicochemical characterization of pH receptive chlorhexidine-loaded poly-L-glycolic acid-modified orthodontic adhesive.
    Microsc Res Tech, 2022. 85(3): p. 996–1004.
    https://www.ncbi.nlm.nih.gov/pubmed/34716725

  244.  
  245. Hossain, M.T., S. Liyanage, and N. Abidi
    FTIR microspectroscopic approach to investigate macromolecular distribution in seed coat cross-sections.
    Vibrational Spectroscopy, 2022. 120: p. 103376.
    https://dx.doi.org/10.1016/j.vibspec.2022.103376

  246.  
  247. Furber, K.L., R.J.S. Lacombe, S. Caine, M.P. Thangaraj, et al.
    Biochemical Alterations in White Matter Tracts of the Aging Mouse Brain Revealed by FTIR Spectroscopy Imaging.
    Neurochem Res, 2022. 47(3): p. 795–810.
    https://www.ncbi.nlm.nih.gov/pubmed/34820737

  248.  
  249. Ellison, G., L. Duong, A. Hollings, D. Howard, et al.
    Characterising murine hippocampal iron homeostasis, in relation to markers of brain inflammation and metabolism, during ageing.
    Metallomics, 2022. 14(10).
    https://www.ncbi.nlm.nih.gov/pubmed/36066906

  250.  
  251. Dreimol, C.H., H. Guo, M. Ritter, T. Keplinger, et al.
    Sustainable wood electronics by iron-catalyzed laser-induced graphitization for large-scale applications.
    Nat Commun, 2022. 13(1): p. 3680.
    https://www.ncbi.nlm.nih.gov/pubmed/35760793

  252.  
  253. Chen, X., Y. Liu, G. Huang, C. An, et al.
    Functional flax fiber with UV-induced switchable wettability for multipurpose oil-water separation.
    Frontiers of Environmental Science & Engineering, 2022. 16(12): p. 153.
    https://dx.doi.org/10.1007/s11783-022-1588-6

  254.  
  255. Chae, B., E. Seo, H.J. Kim, J. Kim, et al.
    Spectrochemical analysis of slippery loach skin and kelp using FTIR imaging.
    Vibrational Spectroscopy, 2022. 118: p. 103338.
    https://dx.doi.org/10.1016/j.vibspec.2022.103338

  256.  
  257. Castro, P., S. C., and D. Zezell
    Burn wound healing by infrared spectroscopy imaging: a Pilot study.
    12th International Conference on Clinical Spectroscopy, 2022.
    http://repositorio.ipen.br/handle/123456789/33937

  258.  
  259. Boseley, R.E., J. Vongsvivut, D. Appadoo, M.J. Hackett, et al.
    Monitoring the chemical changes in fingermark residue over time using synchrotron infrared spectroscopy.
    Analyst, 2022. 147(5): p. 799–810.
    https://www.ncbi.nlm.nih.gov/pubmed/35174821

  260.  
  261. Belloni, A., M. Furlani, S. Greco, V. Notarstefano, et al.
    Uterine leiomyoma as useful model to unveil morphometric and macromolecular collagen state and impairment in fibrotic diseases: An ex-vivo human study.
    Biochim Biophys Acta Mol Basis Dis, 2022. 1868(12): p. 166494.
    https://www.ncbi.nlm.nih.gov/pubmed/35850176

  262.  
  263. Beć, K.B., J. Grabska, and C.W. Huck
    Chapter 26 - Infrared and near-infrared spectroscopic techniques for the quality control of herbal medicines.
    Evidence-Based Validation of Herbal Medicine (Second Edition), 2022: p. 603–627.
    https://dx.doi.org/10.1016/B978-0-323-85542-6.00018-4

  264.  
  265. Augustyniak, K., K. Chrabaszcz, M. Smeda, M. Stojak, et al.
    High-Resolution Fourier Transform Infrared (FT-IR) Spectroscopic Imaging for Detection of Lung Structures and Cancer-Related Abnormalities in a Murine Model.
    Appl Spectrosc, 2022. 76(4): p. 439–450.
    https://www.ncbi.nlm.nih.gov/pubmed/34076540

  266.  
  267. Ahn, T., M. Jueckstock, G.S. Mandair, J. Henderson, et al.
    Matrix/mineral ratio and domain size variation with bone tissue age: A photothermal infrared study.
    J Struct Biol, 2022. 214(3): p. 107878.
    https://www.ncbi.nlm.nih.gov/pubmed/35781024

  268.  
  269. Yin, J., G. Huang, C. An, P. Zhang, et al.
    Exploration of nanocellulose washing agent for the green remediation of phenanthrene-contaminated soil.
    J Hazard Mater, 2021. 403: p. 123861.
    https://www.ncbi.nlm.nih.gov/pubmed/33264936

  270.  
  271. Willenbacher, E., A. Brunner, B. Zelger, S.H. Unterberger, et al.
    Application of mid-infrared microscopic imaging for the diagnosis and classification of human lymphomas.
    J Biophotonics, 2021. 14(9): p. e202100079.
    https://www.ncbi.nlm.nih.gov/pubmed/34159739

  272.  
  273. Vahabisani, A., C. An, X. Xin, E. Owens, et al.
    Exploring the effects of microalgal biomass on the oil behavior in a sand-water system.
    Environ Sci Pollut Res Int, 2021.
    https://www.ncbi.nlm.nih.gov/pubmed/33638067

  274.  
  275. Traynor, D., I. Behl, D. O'Dea, F. Bonnier, et al.
    Raman spectral cytopathology for cancer diagnostic applications.
    Nat Protoc, 2021. 16(7): p. 3716–3735.
    https://www.ncbi.nlm.nih.gov/pubmed/34117476

  276.  
  277. Swietlicka, I., S. Muszynski, C. Prein, H. Clausen-Schaumann, et al.
    Fourier Transform Infrared Microspectroscopy Combined with Principal Component Analysis and Artificial Neural Networks for the Study of the Effect of beta-Hydroxy-beta-Methylbutyrate (HMB) Supplementation on Articular Cartilage.
    Int J Mol Sci, 2021. 22(17).
    https://www.ncbi.nlm.nih.gov/pubmed/34502096

  278.  
  279. Siriwong, S., W. Thepbandit, N.H. Hoang, N.K. Papathoti, et al.
    Identification of a Chitooligosaccharide Mechanism against Bacterial Leaf Blight on Rice by In Vitro and In Silico Studies.
    Int J Mol Sci, 2021. 22(15).
    https://www.ncbi.nlm.nih.gov/pubmed/34360756

  280.  
  281. Sangpueak, R., P. Phansak, K. Thumanu, S. Siriwong, et al.
    Effect of Salicylic AcidFormulations on Induced Plant Defense against Cassava Anthracnose Disease.
    Plant Pathol J, 2021. 37(4): p. 356–364.
    https://www.ncbi.nlm.nih.gov/pubmed/34365747

  282.  
  283. Saadaldin, S., A. Aldegheishem, E. Eldwakhly, M.S. Mostafa, et al.
    Riboflavin mediated photo-illumination for bonding zirconia to tooth structure.
    Materials Technology, 2021: p. 1–12.
    https://dx.doi.org/10.1080/10667857.2021.1982472

  284.  
  285. Quintas, G., B.R. Wood, H.J. Byrne, and D. Perez-Guaita
    Multiplexed Fourier Transform Infrared and Raman Imaging.
    Methods Mol Biol, 2021. 2350: p. 299–312.
    https://www.ncbi.nlm.nih.gov/pubmed/34331293

  286.  
  287. Phansak, P., S. Siriwong, R. Sangpueak, N. Kanawapee, et al.
    Screening rice blast-resistant cultivars via synchrotron fourier transform infrared (SR-FTIR) microspectroscopy.
    Emirates Journal of Food and Agriculture, 2021. 33(9): p. 726–741.
    https://dx.doi.org/10.9755/ejfa.2021.v33.i9.2758

  288.  
  289. Petrov, G.I., R. Arora, and V.V. Yakovlev
    Coherent anti-Stokes Raman scattering imaging of microcalcifications associated with breast cancer.
    Analyst, 2021. 146(4): p. 1253–1259.
    https://www.ncbi.nlm.nih.gov/pubmed/33332488

  290.  
  291. Mosca, S., C. Conti, N. Stone, and P. Matousek
    Spatially offset Raman spectroscopy.
    Nature Reviews Methods Primers, 2021. 1(1): p. 21.
    https://dx.doi.org/10.1038/s43586-021-00019-0

  292.  
  293. Matuszyk, E. and M. Baranska
    Primary murine hepatocytes exposed to fatty acids analyzed by Raman and infrared microscopy.
    Clinical Spectroscopy, 2021. 3: p. 100007.
    https://dx.doi.org/10.1016/j.clispe.2021.100007

  294.  
  295. Liu, S., D.J. Hall, C.J. Della Valle, M.J. Walsh, et al.
    Simultaneous Characterization of Implant Wear and Tribocorrosion Debris within Its Corresponding Tissue Response Using Infrared Chemical Imaging.
    Biotribology (Oxf), 2021. 26.
    https://www.ncbi.nlm.nih.gov/pubmed/33829077

  296.  
  297. Liedtke, I., S. Diehn, Z. Heiner, S. Seifert, et al.
    Multivariate Raman mapping for phenotypic characterization in plant tissue sections.
    Spectrochim Acta A Mol Biomol Spectrosc, 2021. 251: p. 119418.
    https://www.ncbi.nlm.nih.gov/pubmed/33461131

  298.  
  299. Kujdowicz, M., B. Mech, K. Chrabaszcz, P. Chlosta, et al.
    FTIR Spectroscopic Imaging Supports Urine Cytology for Classification of Low- and High-Grade Bladder Carcinoma.
    Cancers (Basel), 2021. 13(22).
    https://www.ncbi.nlm.nih.gov/pubmed/34830887

  300.  
  301. Kidman, C.J., C.D.S. Mamotte, M.A. Eynaud, J. Reinhardt, et al.
    Tracking biochemical changes induced by iron loading in AML12 cells with synchrotron live cell, time-lapse infrared microscopy.
    Biochem J, 2021. 478(6): p. 1227–1239.
    https://www.ncbi.nlm.nih.gov/pubmed/33616158

  302.  
  303. Kamran, M.A., A. A Alnazeh, M.S. Hameed, S.M. Yassin, et al.
    pH-receptive chlorhexidine-loaded poly-L-glycolic acid platform delivery approach to stabilize adhesive-orthodontic interface.
    Polymer Composites, 2021. 42(10): p. 5564–5573.
    https://dx.doi.org/10.1002/pc.26247

  304.  
  305. Kalisz, G., B. Gieroba, O. Chrobak, M. Suchora, et al.
    Vibrational Spectroscopic Analyses and Imaging of the Early Middle Ages Hemp Bast Fibres Recovered from Lake Sediments.
    Molecules, 2021. 26(5).
    https://www.ncbi.nlm.nih.gov/pubmed/33804535

  306.  
  307. Hartnell, D., A. Hollings, A.M. Ranieri, H.B. Lamichhane, et al.
    Mapping sub-cellular protein aggregates and lipid inclusions using synchrotron ATR-FTIR microspectroscopy.
    Analyst, 2021.
    https://www.ncbi.nlm.nih.gov/pubmed/33881057

  308.  
  309. Gieroba, B., A. Przekora, G. Kalisz, P. Kazimierczak, et al.
    Collagen maturity and mineralization in mesenchymal stem cells cultured on the hydroxyapatite-based bone scaffold analyzed by ATR-FTIR spectroscopic imaging.
    Mater Sci Eng C Mater Biol Appl, 2021. 119: p. 111634.
    https://www.ncbi.nlm.nih.gov/pubmed/33321672

  310.  
  311. Fávaro, W.J., H.J. Ceragioli, A. Villela R, and N. Duran
    Fourier Transform Infrared Spectroscopy as diagnostic tools for bladder cancer treatment: Doxorubicin and Cisplatin and Reduced Graphene Oxide as nanocarrier.
    Nanomedicine Research Journal, 2021. 6(3): p. 228–236.

     
  312. El Khoury, Y., A. Schirer, C. Patte-Mensah, C. Klein, et al.
    Raman Imaging Reveals Accumulation of Hemoproteins in Plaques from Alzheimer's Diseased Tissues.
    ACS Chem Neurosci, 2021. 12(15): p. 2940–2945.
    https://www.ncbi.nlm.nih.gov/pubmed/34292705

  313.  
  314. Das Gupta, S., M. Killenberger, T. Tanner, L. Rieppo, et al.
    Mineralization of dental tissues and caries lesions detailed with Raman microspectroscopic imaging.
    Analyst, 2021. 146(5): p. 1705–1713.
    https://www.ncbi.nlm.nih.gov/pubmed/33295890

  315.  
  316. Chen, Z., C. An, J. Yin, E. Owens, et al.
    Exploring the use of cellulose nanocrystal as surface-washing agent for oiled shoreline cleanup.
    J Hazard Mater, 2021. 402: p. 123464.
    https://www.ncbi.nlm.nih.gov/pubmed/32693337

  317.  
  318. Cheeseman, S., Z.L. Shaw, J. Vongsvivut, R.J. Crawford, et al.
    Analysis of Pathogenic Bacterial and Yeast Biofilms Using the Combination of Synchrotron ATR-FTIR Microspectroscopy and Chemometric Approaches.
    Molecules, 2021. 26(13).
    https://www.ncbi.nlm.nih.gov/pubmed/34202224

  319.  
  320. Alamu, E.O., E. Nuwamanya, D. Cornet, K. Meghar, et al.
    Near-infrared spectroscopy applications for high-throughput phenotyping for cassava and yam: A review.
    Int J Food Sci Technol, 2021. 56(3): p. 1491–1501.
    https://www.ncbi.nlm.nih.gov/pubmed/33776247

  321.  
  322. Akram, Z., S. Aati, H. Ngo, and A. Fawzy
    pH-dependent delivery of chlorhexidine from PGA grafted mesoporous silica nanoparticles at resin-dentin interface.
    J Nanobiotechnology, 2021. 19(1): p. 43.
    https://www.ncbi.nlm.nih.gov/pubmed/33563280

  323.  
  324. Abidi, N.
    Sample Preparation, Data Acquisition, Spectral Data Processing and Analysis.
    FTIR Microspectroscopy : Selected Emerging Applications, 2021: p. 125–128.
    https://dx.doi.org/10.1007/978-3-030-84426-4_8

  325.  
  326. Abidi, N.
    Plant and Biopolymers.
    FTIR Microspectroscopy : Selected Emerging Applications, 2021: p. 13–36.
    https://dx.doi.org/10.1007/978-3-030-84426-4_2

  327.  
  328. Woss, C., S.H. Unterberger, G. Degenhart, A. Akolkar, et al.
    Comparison of structure and composition of a fossil Champsosaurus vertebra with modern Crocodylidae vertebrae: A multi-instrumental approach.
    J Mech Behav Biomed Mater, 2020. 104: p. 103668.
    https://www.ncbi.nlm.nih.gov/pubmed/32174426

  329.  
  330. Sunthornvarabhas, J., P. Rungthaworn, U. Sukatta, N. Juntratip, et al.
    Antimicrobial Tendency of Bagasse Lignin Extracts by Raman Peak Intensity.
    Sugar Tech, 2020. 22(4): p. 697–705.
    https://dx.doi.org/10.1007/s12355-019-00778-x

  331.  
  332. Shi, L., X. Liu, L. Shi, H.T. Stinson, et al.
    Mid-infrared metabolic imaging with vibrational probes.
    Nat Methods, 2020. 17(8): p. 844–851.
    https://www.ncbi.nlm.nih.gov/pubmed/32601425

  333.  
  334. S., L., H. D., M. S., C. S., et al.
    Characterization Of Wear And Corrosion Product Using Multivariate Fourier-Transform Infrared Microspectroscopy Imaging Analysis.
    Orthopaedic Proceedings, 2020. 102-B(SUPP_1): p. 103–103.
    https://dx.doi.org/10.1302/1358-992X.2020.1.103

  335.  
  336. Puttaso, P., W. Namanusart, K. Thumanu, B. Kamolmanit, et al.
    Assessing the Effect of Rubber (Hevea brasiliensis (Willd. ex A. Juss.) Muell. Arg.) Leaf Chemical Composition on Some Soil Properties of Differently Aged Rubber Tree Plantations.
    Agronomy, 2020. 10(12): p. 1871.
    https://dx.doi.org/10.3390/agronomy10121871

  337.  
  338. Ong, L., A.P. Pax, A. Ong, J. Vongsvivut, et al.
    The effect of pH on the fat and protein within cream cheese and their influence on textural and rheological properties.
    Food Chem, 2020. 332: p. 127327.
    https://www.ncbi.nlm.nih.gov/pubmed/32615380

  339.  
  340. McGann, J., M. Willans, G. Sauzier, M.J. Hackett, et al.
    Investigating diversity in polymer-based identity cards using ATR-FTIR spectroscopy and chemometrics.
    Forensic Science International: Reports, 2020. 2: p. 100149.
    https://dx.doi.org/10.1016/j.fsir.2020.100149

  341.  
  342. Mazarakis, N., J. Vongsvivut, K.R. Bambery, K. Ververis, et al.
    Investigation of molecular mechanisms of experimental compounds in murine models of chronic allergic airways disease using synchrotron Fourier-transform infrared microspectroscopy.
    Sci Rep, 2020. 10(1): p. 11713.
    https://www.ncbi.nlm.nih.gov/pubmed/32678217

  343.  
  344. Liu, Y.J., M. Kyne, C. Wang, and X.Y. Yu
    Data mining in Raman imaging in a cellular biological system.
    Comput Struct Biotechnol J, 2020. 18: p. 2920–2930.
    https://www.ncbi.nlm.nih.gov/pubmed/33163152

  345.  
  346. Liu, Y., G. Huang, C. An, X. Chen, et al.
    Use of Nano-TiO2 self-assembled flax fiber as a new initiative for immiscible oil/water separation.
    Journal of Cleaner Production, 2020. 249: p. 119352.
    https://dx.doi.org/10.1016/j.jclepro.2019.119352

  347.  
  348. Liu, S., D.J. Hall, S.M. McCarthy, J.J. Jacobs, et al.
    Fourier transform infrared spectroscopic imaging of wear and corrosion products within joint capsule tissue from total hip replacements patients.
    J Biomed Mater Res B Appl Biomater, 2020. 108(2): p. 513–526.
    https://www.ncbi.nlm.nih.gov/pubmed/31099981

  349.  
  350. Gieroba, B., M. Krysa, K. Wojtowicz, A. Wiater, et al.
    The FT-IR and Raman Spectroscopies as Tools for Biofilm Characterization Created by Cariogenic Streptococci.
    Int J Mol Sci, 2020. 21(11).
    https://www.ncbi.nlm.nih.gov/pubmed/32471277

  351.  
  352. Drozdz, A., K. Matusiak, Z. Setkowicz, M. Ciarach, et al.
    FTIR microspectroscopy revealed biochemical changes in liver and kidneys as a result of exposure to low dose of iron oxide nanoparticles.
    Spectrochim Acta A Mol Biomol Spectrosc, 2020. 236: p. 118355.
    https://www.ncbi.nlm.nih.gov/pubmed/32344375

  353.  
  354. Das Gupta, S., M.A.J. Finnila, S.S. Karhula, S. Kauppinen, et al.
    Raman microspectroscopic analysis of the tissue-specific composition of the human osteochondral junction in osteoarthritis: A pilot study.
    Acta Biomater, 2020. 106: p. 145–155.
    https://www.ncbi.nlm.nih.gov/pubmed/32081781

  355.  
  356. Chatchawal, P., M. Wongwattanakul, P. Tippayawat, N. Jearanaikoon, et al.
    Monitoring the Progression of Liver Fluke-Induced Cholangiocarcinoma in a Hamster Model Using Synchrotron FTIR Microspectroscopy and Focal Plane Array Infrared Imaging.
    Anal Chem, 2020.
    https://www.ncbi.nlm.nih.gov/pubmed/33170647

  357.  
  358. Bik, E., M. Ishigaki, A. Blat, A. Jasztal, et al.
    Lipid Droplet Composition Varies Based on Medaka Fish Eggs Development as Revealed by NIR-, MIR-, and Raman Imaging.
    Molecules, 2020. 25(4).
    https://www.ncbi.nlm.nih.gov/pubmed/32070018

  359.  
  360. Adobes-Vidal, M., M. Frey, and T. Keplinger
    Atomic force microscopy imaging of delignified secondary cell walls in liquid conditions facilitates interpretation of wood ultrastructure.
    J Struct Biol, 2020. 211(2): p. 107532.
    https://www.ncbi.nlm.nih.gov/pubmed/32442716

  361.  
  362. Zhou, X.J., H.C. Zhu, J.J. Zhong, W.W. Peng, et al.
    New status of the infrared beamlines at SSRF.
    Nuclear Science and Techniques, 2019. 30(12): p. 182.
    https://dx.doi.org/10.1007/s41365-019-0696-x

  363.  
  364. Wrobel, T.P., P. Koziol, M.K. Raczkowska, D. Liberda, et al.
    Noise-free simulation of an FT-IR imaging hyperspectral dataset of pancreatic biopsy core bound by experiment.
    Sci Data, 2019. 6(1): p. 239.
    https://www.ncbi.nlm.nih.gov/pubmed/31664041

  365.  
  366. Vongsvivut, J., D. Perez-Guaita, B.R. Wood, P. Heraud, et al.
    Synchrotron macro ATR-FTIR microspectroscopy for high-resolution chemical mapping of single cells.
    Analyst, 2019. 144(10): p. 3226–3238.
    https://www.ncbi.nlm.nih.gov/pubmed/30869675

  367.  
  368. Vidiella del Blanco, M., V. Gomez, P. Fleckenstein, T. Keplinger, et al.
    Grafting of amphiphilic block copolymers on lignocellulosic materials via SI-AGET-ATRP.
    Journal of Polymer Science Part A: Polymer Chemistry, 2019. 57(8): p. 885–897.
    https://dx.doi.org/10.1002/pola.29340

  369.  
  370. Segmehl, J.S., T. Keplinger, A. Krasnobaev, J.K. Berg, et al.
    Facilitated delignification in CAD deficient transgenic poplar studied by confocal Raman spectroscopy imaging.
    Spectrochim Acta A Mol Biomol Spectrosc, 2019. 206: p. 177–184.
    https://www.ncbi.nlm.nih.gov/pubmed/30099316

  371.  
  372. Pax, A.P., L. Ong, J. Vongsvivut, M.J. Tobin, et al.
    The characterisation of Mozzarella cheese microstructure using high resolution synchrotron transmission and ATR-FTIR microspectroscopy.
    Food Chem, 2019. 291: p. 214–222.
    https://www.ncbi.nlm.nih.gov/pubmed/31006461

  373.  
  374. Milewska, A., V. Zivanovic, V. Merk, U.B. Arnalds, et al.
    Gold nanoisland substrates for SERS characterization of cultured cells.
    Biomed Opt Express, 2019. 10(12): p. 6172–6188.
    https://www.ncbi.nlm.nih.gov/pubmed/31853393

  375.  
  376. Kolodziej, M., D. Jesionek-Kupnicka, M. Braun, V. Atamaniuk, et al.
    Classification of aggressive and classic mantle cell lymphomas using synchrotron Fourier Transform Infrared microspectroscopy.
    Sci Rep, 2019. 9(1): p. 12857.
    https://www.ncbi.nlm.nih.gov/pubmed/31492883

  377.  
  378. Kansal, V., J. Lukenchuk, M.M. U Dodd, M. Hackett, et al.
    Analysis of the Change Induced by Riboflavin and Ultraviolet Light on Corneal Collagen by Infrared Spectrometry.
    International Journal of Keratoconus and Ectatic Corneal Diseases, 2019. 8(17-22).
    https://dx.doi.org/10.5005/jp-journals-10025-1174

  379.  
  380. Augustyniak, K., K. Chrabaszcz, A. Jasztal, M. Smeda, et al.
    High and ultra-high definition of infrared spectral histopathology gives an insight into chemical environment of lung metastases in breast cancer.
    J Biophotonics, 2019. 12(4): p. e201800345.
    https://www.ncbi.nlm.nih.gov/pubmed/30548409

  381.  
  382. Zhang, N.
    Microstructures, rheological and mechanical properties of gelatin–starch blends.
    RMIT University, 2018. PhD Thesis.
    https://doi.org/10.25439/rmt.27582384

  383.  
  384. Zeise, I., Z. Heiner, S. Holz, M. Joester, et al.
    Raman Imaging of Plant Cell Walls in Sections of Cucumis sativus.
    Plants (Basel), 2018. 7(1).
    https://www.ncbi.nlm.nih.gov/pubmed/29370089

  385.  
  386. Yarbakht, M., M. Nikkhah, A. Moshaii, K. Weber, et al.
    Simultaneous isolation and detection of single breast cancer cells using surface-enhanced Raman spectroscopy.
    Talanta, 2018. 186: p. 44–52.
    https://www.ncbi.nlm.nih.gov/pubmed/29784385

  387.  
  388. Vitas, S., T. Keplinger, N. Reichholf, R. Figi, et al.
    Functional lignocellulosic material for the remediation of copper(II) ions from water: Towards the design of a wood filter.
    J Hazard Mater, 2018. 355: p. 119–127.
    https://www.ncbi.nlm.nih.gov/pubmed/29778028

  389.  
  390. Truong, V.K., J. Vongsvivut, N.M. Geeganagamage, M.J. Tobin, et al.
    Study of melanin localization in the mature male Calopteryx haemorrhoidalis damselfly wings.
    J Synchrotron Radiat, 2018. 25(Pt 3): p. 874–877.
    https://www.ncbi.nlm.nih.gov/pubmed/29714199

  391.  
  392. Stuhr, S., V.K. Truong, J. Vongsvivut, T. Senkbeil, et al.
    Structure and Chemical Organization in Damselfly Calopteryx haemorrhoidalis Wings: A Spatially Resolved FTIR and XRF Analysis with Synchrotron Radiation.
    Sci Rep, 2018. 8(1): p. 8413.
    https://www.ncbi.nlm.nih.gov/pubmed/29849036

  393.  
  394. Prats-Mateu, B., M. Felhofer, A. de Juan, and N. Gierlinger
    Multivariate unmixing approaches on Raman images of plant cell walls: new insights or overinterpretation of results?
    Plant Methods, 2018. 14: p. 52.
    https://www.ncbi.nlm.nih.gov/pubmed/29997681

  395.  
  396. Ozparpucu, M., N. Gierlinger, I. Burgert, R. Van Acker, et al.
    The effect of altered lignin composition on mechanical properties of CINNAMYL ALCOHOL DEHYDROGENASE (CAD) deficient poplars.
    Planta, 2018. 247(4): p. 887–897.
    https://www.ncbi.nlm.nih.gov/pubmed/29270675

  397.  
  398. Lima, C., L. Correa, H. Byrne, and d. Zezell
    K-means and Hierarchical Cluster Analysis as segmentation algorithms of FTIR hyperspectral images collected from cutaneous tissue.
    2018 SBFoton International Optics and Photonics Conference (SBFoton IOPC), 2018: p. 1–4.
    https://dx.doi.org/10.1109/SBFoton-IOPC.2018.8610920

  399.  
  400. Lasch, P., M. Stammler, M. Zhang, M. Baranska, et al.
    FT-IR Hyperspectral Imaging and Artificial Neural Network Analysis for Identification of Pathogenic Bacteria.
    Anal Chem, 2018. 90(15): p. 8896–8904.
    https://www.ncbi.nlm.nih.gov/pubmed/29944341

  401.  
  402. Heiner, Z., I. Zeise, R. Elbaum, and J. Kneipp
    Insight into plant cell wall chemistry and structure by combination of multiphoton microscopy with Raman imaging.
    J Biophotonics, 2018. 11(4): p. e201700164.
    https://www.ncbi.nlm.nih.gov/pubmed/29024576

  403.  
  404. Fiedler, I.A.K., M. Casanova, T. Keplinger, B. Busse, et al.
    Effect of short-term formaldehyde fixation on Raman spectral parameters of bone quality.
    J Biomed Opt, 2018. 23(11): p. 1–6.
    https://www.ncbi.nlm.nih.gov/pubmed/30499261

  405.  
  406. Dorakumbura, B.N., R.E. Boseley, T. Becker, D.E. Martin, et al.
    Revealing the spatial distribution of chemical species within latent fingermarks using vibrational spectroscopy.
    Analyst, 2018. 143(17): p. 4027–4039.
    https://www.ncbi.nlm.nih.gov/pubmed/29956693

  407.  
  408. Zhang, Y., G. Huang, C. An, X. Xin, et al.
    Transport of anionic azo dyes from aqueous solution to gemini surfactant-modified wheat bran: Synchrotron infrared, molecular interaction and adsorption studies.
    Sci Total Environ, 2017. 595: p. 723–732.
    https://www.ncbi.nlm.nih.gov/pubmed/28407589

  409.  
  410. Ye, D., P. Heraud, R. Parnpai, and T. Li
    Reversal of Experimental Liver Damage after Transplantation of Stem-Derived Cells Detected by FTIR Spectroscopy.
    Stem Cells Int, 2017. 2017: p. 4585169.
    https://www.ncbi.nlm.nih.gov/pubmed/29445403

  411.  
  412. Woess, C., S.H. Unterberger, C. Roider, M. Ritsch-Marte, et al.
    Assessing various Infrared (IR) microscopic imaging techniques for post-mortem interval evaluation of human skeletal remains.
    PLoS One, 2017. 12(3): p. e0174552.
    http://www.ncbi.nlm.nih.gov/pubmed/28334006

  413.  
  414. Williamson, M.R., K. Dietrich, M.J. Hackett, S. Caine, et al.
    Rehabilitation Augments Hematoma Clearance and Attenuates Oxidative Injury and Ion Dyshomeostasis After Brain Hemorrhage.
    Stroke, 2017. 48(1): p. 195–203.
    https://www.ncbi.nlm.nih.gov/pubmed/27899761

  415.  
  416. Thumanu, K., D. Wongchalee, M. Sompong, P. Phansak, et al.
    Synchrotron-based FTIR microspectroscopy of chili resistance induced by Bacillus subtilis strain D604 against anthracnose disease.
    Journal of Plant Interactions, 2017. 12(1): p. 255–263.
    https://dx.doi.org/10.1080/17429145.2017.1325523

  417.  
  418. Sunthornvarabhas, J., S. Liengprayoon, and T. Suwonsichon
    Antimicrobial kinetic activities of lignin from sugarcane bagasse for textile product.
    Industrial Crops and Products, 2017. 109: p. 857–861.
    https://dx.doi.org/10.1016/j.indcrop.2017.09.059

  419.  
  420. Smith, G.P.S., S.E. Holroyd, D.C.W. Reid, and K.C. Gordon
    Raman imaging processed cheese and its components.
    Journal of Raman Spectroscopy, 2017. 48(3): p. 374–383.
    https://dx.doi.org/10.1002/jrs.5054

  421.  
  422. Pallua, J.D., S. Unterberger, N. Pemberger, C. Woess, et al.
    Retrospective case study on the suitability of mid-infrared microscopic imaging for the diagnosis of mucormycosis in human tissue sections.
    Analytical Methods, 2017. 9(28): p. 4135–4142.
    https://dx.doi.org/10.1039/C7AY01132F

  423.  
  424. Lasch, P. and I. Noda
    Two-Dimensional Correlation Spectroscopy for Multimodal Analysis of FT-IR, Raman, and MALDI-TOF MS Hyperspectral Images with Hamster Brain Tissue.
    Anal Chem, 2017. 89(9): p. 5008–5016.
    https://www.ncbi.nlm.nih.gov/pubmed/28365985

  425.  
  426. Kancharla, R., S. Karpurapu, V.R. Kumar, and G.P. Reddy
    A Novel Approach for Analysis of FTIR Membrane Spectroscopy.
    2017 IEEE 7th International Advance Computing Conference (IACC), 2017: p. 728–731.
    https://dx.doi.org/10.1109/IACC.2017.0151

  427.  
  428. Heiner, Z., M. Guhlke, V. Zivanovic, F. Madzharova, et al.
    Surface-enhanced hyper Raman hyperspectral imaging and probing in animal cells.
    Nanoscale, 2017. 9(23): p. 8024–8032.
    https://www.ncbi.nlm.nih.gov/pubmed/28574069

  429.  
  430. Capobianco, G., M.P. Bracciale, D. Sali, F. Sbardella, et al.
    Chemometrics approach to FT-IR hyperspectral imaging analysis of degradation products in artwork cross-section.
    Microchemical Journal, 2017. 132: p. 69–76.
    https://dx.doi.org/10.1016/j.microc.2017.01.007

  431.  
  432. Belt, T., T. Keplinger, T. Hänninen, and L. Rautkari
    Cellular level distributions of Scots pine heartwood and knot heartwood extractives revealed by Raman spectroscopy imaging.
    Industrial Crops and Products, 2017. 108: p. 327–335.
    https://www.sciencedirect.com/science/article/pii/S0926669017304430

  433.  
  434. Amenabar, I., S. Poly, M. Goikoetxea, W. Nuansing, et al.
    Hyperspectral infrared nanoimaging of organic samples based on Fourier transform infrared nanospectroscopy.
    Nat Commun, 2017. 8: p. 14402.
    https://www.ncbi.nlm.nih.gov/pubmed/28198384

  435.  
  436. Alaverdashvili, M., M.J. Hackett, S. Caine, and P.G. Paterson
    Parallel changes in cortical neuron biochemistry and motor function in protein-energy malnourished adult rats.
    Neuroimage, 2017. 149: p. 275–284.
    https://www.ncbi.nlm.nih.gov/pubmed/28179168

  437.  
  438. Zawlik, I., E. Kaznowska, J. Cebulski, M. Kolodziej, et al.
    FPA-FTIR Microspectroscopy for Monitoring Chemotherapy Efficacy in Triple-Negative Breast Cancer.
    Sci Rep, 2016. 6: p. 37333.
    http://www.ncbi.nlm.nih.gov/pubmed/27857183

  439.  
  440. Wrobel, T.P., J.T. Kwak, A. Kadjacsy-Balla, and R. Bhargava
    High-definition Fourier transform infrared spectroscopic imaging of prostate tissue.
    SPIE Medical Imaging, 2016. 9791.
    https://dx.doi.org/10.1117/12.2217341

  441.  
  442. Tolstik, E., L.A. Osminkina, C. Matthaus, M. Burkhardt, et al.
    Studies of silicon nanoparticles uptake and biodegradation in cancer cells by Raman spectroscopy.
    Nanomedicine, 2016. 12(7): p. 1931–1940.
    https://www.ncbi.nlm.nih.gov/pubmed/27085902

  443.  
  444. Sunthornvarabhas, J., S. Liengprayoon, C. Aouf, W. Rungjang, et al.
    Tara tannin as active ingredient in electrospun fibrous delivery system.
    Journal of Applied Polymer Science, 2016. 133(27).
    https://dx.doi.org/10.1002/app.43646

  445.  
  446. Owocki, K., B. Kremer, B. Wrzosek, A. Krolikowska, et al.
    Fungal Ferromanganese Mineralisation in Cretaceous Dinosaur Bones from the Gobi Desert, Mongolia.
    PLoS One, 2016. 11(2): p. e0146293.
    https://www.ncbi.nlm.nih.gov/pubmed/26863014

  447.  
  448. Oinas, J., L. Rieppo, M.A. Finnila, M. Valkealahti, et al.
    Imaging of Osteoarthritic Human Articular Cartilage using Fourier Transform Infrared Microspectroscopy Combined with Multivariate and Univariate Analysis.
    Sci Rep, 2016. 6: p. 30008.
    https://www.ncbi.nlm.nih.gov/pubmed/27445254

  449.  
  450. Merk, V., M. Chanana, S. Gaan, and I. Burgert
    Mineralization of wood by calcium carbonate insertion for improved flame retardancy.
    Holzforschung, 2016. 70(9): p. 867–876.
    https://dx.doi.org/10.1515/hf-2015-0228

  451.  
  452. Kumar, S., T. Verma, R. Mukherjee, F. Ariese, et al.
    Raman and infra-red microspectroscopy: towards quantitative evaluation for clinical research by ratiometric analysis.
    Chem Soc Rev, 2016. 45(7): p. 1879–900.
    https://www.ncbi.nlm.nih.gov/pubmed/26497386

  453.  
  454. Kochan, K., K. Chrabaszcz, B. Szczur, E. Maslak, et al.
    IR and Raman imaging of murine brains from control and ApoE/LDLR(-/-) mice with advanced atherosclerosis.
    Analyst, 2016. 141(18): p. 5329–38.
    http://www.ncbi.nlm.nih.gov/pubmed/27332112

  455.  
  456. Dudala, J., M.B. Bialas, M. Szczerbowska-Boruchowska, M. Bereza-Buziak, et al.
    Investigation of biochemical composition of adrenal gland tumors by means of FTIR.
    Pol J Pathol, 2016. 67(1): p. 60–8.
    https://www.ncbi.nlm.nih.gov/pubmed/27179276

  457.  
  458. Caine, S., M.J. Hackett, H. Hou, S. Kumar, et al.
    A novel multi-modal platform to image molecular and elemental alterations in ischemic stroke.
    Neurobiol Dis, 2016. 91: p. 132–42.
    https://www.ncbi.nlm.nih.gov/pubmed/26969531

  459.  
  460. Buchner, T., D. Drescher, V. Merk, H. Traub, et al.
    Biomolecular environment, quantification, and intracellular interaction of multifunctional magnetic SERS nanoprobes.
    Analyst, 2016. 141(17): p. 5096–106.
    https://www.ncbi.nlm.nih.gov/pubmed/27353290

  461.  
  462. Zohdi, V., D.R. Whelan, B.R. Wood, J.T. Pearson, et al.
    Importance of Tissue Preparation Methods in FTIR Micro-Spectroscopical Analysis of Biological Tissues: 'Traps for New Users'.
    PLoS One, 2015. 10(2): p. e0116491.
    http://www.ncbi.nlm.nih.gov/pubmed/25710811

  463.  
  464. Wrobel, T.P., K.M. Marzec, S. Chlopicki, E. Maslak, et al.
    Effects of Low Carbohydrate High Protein (LCHP) diet on atherosclerotic plaque phenotype in ApoE/LDLR-/- mice: FT-IR and Raman imaging.
    Sci Rep, 2015. 5: p. 14002.
    https://www.ncbi.nlm.nih.gov/pubmed/26391802

  465.  
  466. Woess, C., M. Drach, A. Villunger, R. Tappert, et al.
    Application of mid-infrared (MIR) microscopy imaging for discrimination between follicular hyperplasia and follicular lymphoma in transgenic mice.
    Analyst, 2015. 140(18): p. 6363–72.
    https://www.ncbi.nlm.nih.gov/pubmed/26236782

  467.  
  468. Tolstik, T., C. Marquardt, C. Beleites, C. Matthaus, et al.
    Classification and prediction of HCC tissues by Raman imaging with identification of fatty acids as potential lipid biomarkers.
    J Cancer Res Clin Oncol, 2015. 141(3): p. 407–18.
    https://www.ncbi.nlm.nih.gov/pubmed/25238702

  469.  
  470. Thumanu, K., M. Sompong, P. Phansak, K. Nontapot, et al.
    Use of infrared microspectroscopy to determine leaf biochemical composition of cassava in response to Bacillus subtilis CaSUT007.
    Journal of Plant Interactions, 2015. 10(1): p. 270–279.
    https://dx.doi.org/10.1080/17429145.2015.1059957

  471.  
  472. Sroka-Bartnicka, A., J.A. Kimber, L. Borkowski, M. Pawlowska, et al.
    The biocompatibility of carbon hydroxyapatite/beta-glucan composite for bone tissue engineering studied with Raman and FTIR spectroscopic imaging.
    Anal Bioanal Chem, 2015. 407(25): p. 7775–85.
    https://www.ncbi.nlm.nih.gov/pubmed/26277184

  473.  
  474. Sreedhar, H., V.K. Varma, P.L. Nguyen, B. Davidson, et al.
    High-definition Fourier Transform Infrared (FT-IR) spectroscopic imaging of human tissue sections towards improving pathology.
    J Vis Exp, 2015(95): p. 52332.
    https://www.ncbi.nlm.nih.gov/pubmed/25650759

  475.  
  476. Rygula, A., M.Z. Pacia, L. Mateuszuk, A. Kaczor, et al.
    Identification of a biochemical marker for endothelial dysfunction using Raman spectroscopy.
    Analyst, 2015. 140(7): p. 2185–9.
    https://www.ncbi.nlm.nih.gov/pubmed/25664353

  477.  
  478. Perez-Guaita, D., P. Heraud, K.M. Marzec, M. de la Guardia, et al.
    Comparison of transflection and transmission FTIR imaging measurements performed on differentially fixed tissue sections.
    Analyst, 2015. 140(7): p. 2376–82.
    https://www.ncbi.nlm.nih.gov/pubmed/25695358

  479.  
  480. Merk, V., M. Chanana, T. Keplinger, S. Gaan, et al.
    Hybrid wood materials with improved fire retardance by bio-inspired mineralisation on the nano- and submicron level.
    Green Chemistry, 2015. 17(3): p. 1423–1428.
    http://dx.doi.org/10.1039/C4GC01862A

  481.  
  482. Menezes, R.C., M. Kai, K. Krause, C. Matthaus, et al.
    Monitoring metabolites from Schizophyllum commune interacting with Hypholoma fasciculare combining LESA-HR mass spectrometry and Raman microscopy.
    Anal Bioanal Chem, 2015. 407(8): p. 2273–82.
    https://www.ncbi.nlm.nih.gov/pubmed/25542572

  483.  
  484. Longato, S., C. Woss, P. Hatzer-Grubwieser, C. Bauer, et al.
    Post-mortem interval estimation of human skeletal remains by micro-computed tomography, mid-infrared microscopic imaging and energy dispersive X-ray mapping.
    Anal Methods, 2015. 7(7): p. 2917–2927.
    https://www.ncbi.nlm.nih.gov/pubmed/25878731

  485.  
  486. Leslie, L.S., T.P. Wrobel, D. Mayerich, S. Bindra, et al.
    High definition infrared spectroscopic imaging for lymph node histopathology.
    PLoS One, 2015. 10(6): p. e0127238.
    https://www.ncbi.nlm.nih.gov/pubmed/26039216

  487.  
  488. Kochan, K., E. Maslak, S. Chlopicki, and M. Baranska
    FT-IR imaging for quantitative determination of liver fat content in non-alcoholic fatty liver.
    Analyst, 2015. 140(15): p. 4997–5002.
    https://www.ncbi.nlm.nih.gov/pubmed/26051164

  489.  
  490. Kochan, K., P. Heraud, M. Kiupel, V. Yuzbasiyan-Gurkan, et al.
    Comparison of FTIR transmission and transfection substrates for canine liver cancer detection.
    Analyst, 2015. 140(7): p. 2402–11.
    https://www.ncbi.nlm.nih.gov/pubmed/25502543

  491.  
  492. Keplinger, T., E. Cabane, M. Chanana, P. Hass, et al.
    A versatile strategy for grafting polymers to wood cell walls.
    Acta Biomater, 2015. 11: p. 256–63.
    https://www.ncbi.nlm.nih.gov/pubmed/25242649

  493.  
  494. Kalmodia, S., S. Parameswaran, W. Yang, C.J. Barrow, et al.
    Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy: An analytical technique to understand therapeutic responses at the molecular level.
    Sci Rep, 2015. 5: p. 16649.
    https://www.ncbi.nlm.nih.gov/pubmed/26568521

  495.  
  496. Hackett, M.J., S.E. Smith, S. Caine, H. Nichol, et al.
    Novel bio-spectroscopic imaging reveals disturbed protein homeostasis and thiol redox with protein aggregation prior to hippocampal CA1 pyramidal neuron death induced by global brain ischemia in the rat.
    Free Radic Biol Med, 2015.
    http://www.ncbi.nlm.nih.gov/pubmed/26454085

  497.  
  498. Hackett, M.J., S. Caine, X. Liu, T.E. May, et al.
    Development of single-beam wide-field infrared imaging to study sub-cellular neuron biochemistry.
    Vibrational Spectroscopy, 2015. 77: p. 51–59.
    https://dx.doi.org/10.1016/j.vibspec.2014.12.004

  499.  
  500. de Almeida Chaves Piva, L.A., L.L.R. Silva, Leandro José Raniero, C.S.P. Lima, et al.
    Biochemical imaging of normal, adenoma, and colorectal adenocarcinoma tissues by Fourier transform infrared spectroscopy (FTIR) and morphological correlation by histopathological analysis: preliminary results.
    Research in Biomedical Engineering, 2015. 31(1): p. 10–18.
    https://dx.doi.org/10.1590/2446-4740.0321

  501.  
  502. Beleites, C., O. Guntinas-Lichius, G. Ernst, J. Popp, et al.
    FTIR microscopic imaging of carcinoma tissue section with 4× and 15× objectives: Practical considerations.
    Biomedical Spectroscopy and Imaging, 2015. 4: p. 57–66.
    https://dx.doi.org/10.3233/BSI-140101

  503.  
  504. Wood, B.R., K.R. Bambery, M.W. Dixon, L. Tilley, et al.
    Diagnosing malaria infected cells at the single cell level using focal plane array Fourier transform infrared imaging spectroscopy.
    Analyst, 2014. 139(19): p. 4769–74.
    http://www.ncbi.nlm.nih.gov/pubmed/25055796

  505.  
  506. Tolstik, T., C. Marquardt, C. Matthaus, N. Bergner, et al.
    Discrimination and classification of liver cancer cells and proliferation states by Raman spectroscopic imaging.
    Analyst, 2014. 139(22): p. 6036–43.
    https://www.ncbi.nlm.nih.gov/pubmed/25271553

  507.  
  508. Stiebing, C., C. Matthaus, C. Krafft, A.A. Keller, et al.
    Complexity of fatty acid distribution inside human macrophages on single cell level using Raman micro-spectroscopy.
    Anal Bioanal Chem, 2014. 406(27): p. 7037–46.
    https://www.ncbi.nlm.nih.gov/pubmed/24939132

  509.  
  510. Pallua, J.D., S.H. Unterberger, G. Metzler, K. Pfaller, et al.
    Application of 3-D surface reconstruction by mid- and near-infrared microscopic imaging for anatomical studies on Hericium coralloides basidiomata.
    Anal. Methods, 2014. 6(4): p. 149–1157.
    https://dx.doi.org/10.1039/C3AY42082E

  511.  
  512. Marzec, K.M., T.P. Wrobel, A. Rygula, E. Maslak, et al.
    Visualization of the biochemical markers of atherosclerotic plaque with the use of Raman, IR and AFM.
    J Biophotonics, 2014. 7(9): p. 744–56.
    https://www.ncbi.nlm.nih.gov/pubmed/24604883

  513.  
  514. Huck, C.W.
    Advances of vibrational spectroscopic methods in phytomics and bioanalysis.
    J Pharm Biomed Anal, 2014. 87: p. 26–35.
    https://www.ncbi.nlm.nih.gov/pubmed/23787354

  515.  
  516. Gierlinger, N.
    Revealing changes in molecular composition of plant cell walls on the micron-level by Raman mapping and vertex component analysis (VCA).
    Front Plant Sci, 2014. 5: p. 306.
    https://www.ncbi.nlm.nih.gov/pubmed/25071792

  517.  
  518. Chonanant, C., K.R. Bambery, N. Jearanaikoon, S. Chio-Srichan, et al.
    Discrimination of micromass-induced chondrocytes from human mesenchymal stem cells by focal plane array-Fourier transform infrared microspectroscopy.
    Talanta, 2014. 130: p. 39–48.
    https://www.ncbi.nlm.nih.gov/pubmed/25159377

  519.  
  520. Baker, M.J., J. Trevisan, P. Bassan, R. Bhargava, et al.
    Using Fourier transform IR spectroscopy to analyze biological materials.
    Nat Protoc, 2014. 9(8): p. 1771–91.
    https://www.ncbi.nlm.nih.gov/pubmed/24992094

  521.  
  522. Anwar Alebrahim, M., C. Krafft, W. Sekhaneh, B. Sigusch, et al.
    ATR-FTIR and Raman spectroscopy of primary and permanent teeth.
    Biomedical Spectroscopy and Imaging, 2014. 3(1): p. 15–27.
    https://dx.doi.org/10.3233/BSI-130059

  523.  
  524. Zohdi, V., B.R. Wood, J.T. Pearson, K.R. Bambery, et al.
    Evidence of altered biochemical composition in the hearts of adult intrauterine growth-restricted rats.
    Eur J Nutr, 2013. 52(2): p. 749–58.
    https://www.ncbi.nlm.nih.gov/pubmed/22645107

  525.  
  526. Zhang, N., X. Liu, L. Yu, R. Shanks, et al.
    Phase composition and interface of starch-gelatin blends studied by synchrotron FTIR micro-spectroscopy.
    Carbohydr Polym, 2013. 95(2): p. 649–53.
    https://www.ncbi.nlm.nih.gov/pubmed/23648025

  527.  
  528. Wrobel, T.P., L. Mateuszuk, R.B. Kostogrys, S. Chlopicki, et al.
    Quantification of plaque area and characterization of plaque biochemical composition with atherosclerosis progression in ApoE/LDLR(-/-) mice by FT-IR imaging.
    Analyst, 2013. 138(21): p. 6645–52.
    http://www.ncbi.nlm.nih.gov/pubmed/24040642

  529.  
  530. Vongsvivut, J., P. Heraud, A. Gupta, M. Puri, et al.
    FTIR microspectroscopy for rapid screening and monitoring of polyunsaturated fatty acid production in commercially valuable marine yeasts and protists.
    Analyst, 2013. 138(20): p. 6016–31.
    https://www.ncbi.nlm.nih.gov/pubmed/23957051

  531.  
  532. Sharma, M., J.C. Crosbie, L. Puskar, and P.A. Rogers
    Microbeam-irradiated tumour tissue possesses a different infrared absorbance profile compared to broad beam and sham-irradiated tissue.
    Int J Radiat Biol, 2013. 89(2): p. 79–87.
    https://www.ncbi.nlm.nih.gov/pubmed/22892032

  533.  
  534. Posch, A.E., C. Koch, M. Helmel, M. Marchetti-Deschmann, et al.
    Combining light microscopy, dielectric spectroscopy, MALDI intact cell mass spectrometry, FTIR spectromicroscopy and multivariate data mining for morphological and physiological bioprocess characterization of filamentous organisms.
    Fungal Genet Biol, 2013. 51: p. 1–11.
    https://www.ncbi.nlm.nih.gov/pubmed/23220594

  535.  
  536. Pezzei, C., A. Brunner, G.K. Bonn, and C.W. Huck
    Fourier transform infrared imaging analysis in discrimination studies of bladder cancer.
    Analyst, 2013. 138(19): p. 5719–25.
    https://www.ncbi.nlm.nih.gov/pubmed/23897512

  537.  
  538. Mudronja, D., F. Vanmeert, K. Hellemans, S. Fazinic, et al.
    Efficiency of applying ammonium oxalate for protection of monumental limestone by poultice, immersion and brushing methods.
    Applied Physics A, 2013. 111(1): p. 109–119.
    https://dx.doi.org/10.1007/s00339-012-7365-9

  539.  
  540. Li, Q., X. He, Y. Wang, H. Liu, et al.
    Review of spectral imaging technology in biomedical engineering: achievements and challenges.
    J Biomed Opt, 2013. 18(10): p. 100901.
    https://www.ncbi.nlm.nih.gov/pubmed/24114019

  541.  
  542. Kobrina, Y., L. Rieppo, S. Saarakkala, H.J. Pulkkinen, et al.
    Cluster analysis of infrared spectra can differentiate intact and repaired articular cartilage.
    Osteoarthritis Cartilage, 2013. 21(3): p. 462–9.
    http://www.ncbi.nlm.nih.gov/pubmed/23267848

  543.  
  544. Huck-Pezzei, V.A., L.K. Bittner, J.D. Pallua, H. Sonderegger, et al.
    A chromatographic and spectroscopic analytical platform for the characterization of St John's wort extract adulterations.
    Analytical Methods, 2013. 5(3): p. 616–628.
    http://dx.doi.org/10.1039/C2AY26030A

  545.  
  546. Croxford, A.M., S. Whittingham, D. McNaughton, K.S. Nandakumar, et al.
    Type II collagen-specific antibodies induce cartilage damage in mice independent of inflammation.
    Arthritis Rheum, 2013. 65(3): p. 650–9.
    https://www.ncbi.nlm.nih.gov/pubmed/23239042

  547.  
  548. Cao, J., E.S. Ng, D. McNaughton, E.G. Stanley, et al.
    Fourier transform infrared microspectroscopy reveals that tissue culture conditions affect the macromolecular phenotype of human embryonic stem cells.
    Analyst, 2013. 138(14): p. 4147–60.
    https://www.ncbi.nlm.nih.gov/pubmed/23745179

  549.  
  550. Cao, J., E.S. Ng, D. McNaughton, E.G. Stanley, et al.
    Fourier transform infrared microspectroscopy reveals unique phenotypes for human embryonic and induced pluripotent stem cell lines and their progeny.
    J Biophotonics, 2013: p. 167–182.
    http://www.ncbi.nlm.nih.gov/pubmed/23616434

  551.  
  552. Bergner, N., A. Medyukhina, K.D. Geiger, M. Kirsch, et al.
    Hyperspectral unmixing of Raman micro-images for assessment of morphological and chemical parameters in non-dried brain tumor specimens.
    Anal Bioanal Chem, 2013. 405(27): p. 8719–28.
    https://www.ncbi.nlm.nih.gov/pubmed/23934397

  553.  
  554. Alexandrov, T. and P. Lasch
    Segmentation of confocal Raman microspectroscopic imaging data using edge-preserving denoising and clustering.
    Anal Chem, 2013. 85(12): p. 5676–83.
    https://www.ncbi.nlm.nih.gov/pubmed/23701523

  555.  
  556. Yu, P.
    Board-invited review: Sensitivity and responses of functional groups to feed processing methods on a molecular basis.
    J Anim Sci Biotechnol, 2012. 3(1): p. 40.
    https://www.ncbi.nlm.nih.gov/pubmed/23216994

  557.  
  558. Wrobel, T.P., K. Majzner, and M. Baranska
    Protein profile in vascular wall of atherosclerotic mice analyzed ex vivo using FT-IR spectroscopy.
    Spectrochim Acta A Mol Biomol Spectrosc, 2012. 96: p. 940–5.
    https://www.ncbi.nlm.nih.gov/pubmed/22944148

  559.  
  560. Tosi, G., E. Giorgini, C. Rubini, S. Sabbatini, et al.
    Vibrational spectroscopy as a supporting technique in clinical diagnosis and prognosis of atherosclerotic carotid plaques: a review.
    Anal Quant Cytopathol Histpathol, 2012. 34(4): p. 214–32.
    https://www.ncbi.nlm.nih.gov/pubmed/23016468

  561.  
  562. Puskar, L., K.R. Bambery, M.J. Tobin, and N. Mills
    Infrared Beamline Data Analysis Workshop on Resonant Mie Scattering Correction.
    Synchrotron Radiation News, 2012. 25(5): p. 43–44.
    https://dx.doi.org/10.1080/08940886.2012.720168

  563.  
  564. Pallua, J.D., W. Recheis, R. Poder, K. Pfaller, et al.
    Morphological and tissue characterization of the medicinal fungus Hericium coralloides by a structural and molecular imaging platform.
    Analyst, 2012. 137(7): p. 1584–95.
    https://www.ncbi.nlm.nih.gov/pubmed/22158509

  565.  
  566. Pallua, J.D., C. Pezzei, B. Zelger, G. Schaefer, et al.
    Fourier transform infrared imaging analysis in discrimination studies of squamous cell carcinoma.
    Analyst, 2012. 137(17): p. 3965–74.
    https://www.ncbi.nlm.nih.gov/pubmed/22792538

  567.  
  568. Lasch, P.
    Spectral pre-processing for biomedical vibrational spectroscopy and microspectroscopic imaging.
    Chemometrics and Intelligent Laboratory Systems, 2012. 117: p. 100–114.
    https://dx.doi.org/10.1016/j.chemolab.2012.03.011

  569.  
  570. Kremer, B., K. Owocki, A. Królikowska, B. Wrzosek, et al.
    Mineral microbial structures in a bone of the Late Cretaceous dinosaur Saurolophus angustirostris from the Gobi Desert, Mongolia — a Raman spectroscopy study.
    Palaeogeography, Palaeoclimatology, Palaeoecology, 2012. 358-360: p. 51–61.
    https://doi.org/10.1016/j.palaeo.2012.07.020

  571.  
  572. Huck-Pezzei, V.A., J.D. Pallua, C. Pezzei, L.K. Bittner, et al.
    Fourier transform infrared imaging analysis in discrimination studies of St. John's wort (Hypericum perforatum).
    Anal Bioanal Chem, 2012. 404(6-7): p. 1771–8.
    https://www.ncbi.nlm.nih.gov/pubmed/23053167

  573.  
  574. Hackett, M.J., J. Lee, F. El-Assaad, J.A. McQuillan, et al.
    FTIR imaging of brain tissue reveals crystalline creatine deposits are an ex vivo marker of localized ischemia during murine cerebral malaria: general implications for disease neurochemistry.
    ACS Chem Neurosci, 2012. 3(12): p. 1017–24.
    https://www.ncbi.nlm.nih.gov/pubmed/23259037

  575.  
  576. Bozkurt, O., S. Haman Bayari, M. Severcan, C. Krafft, et al.
    Structural alterations in rat liver proteins due to streptozotocin-induced diabetes and the recovery effect of selenium: fourier transform infrared microspectroscopy and neural network study.
    J Biomed Opt, 2012. 17(7): p. 076023.
    https://www.ncbi.nlm.nih.gov/pubmed/22894506

  577.  
  578. Bambery, K.R., B.R. Wood, and D. McNaughton
    Resonant Mie scattering (RMieS) correction applied to FTIR images of biological tissue samples.
    Analyst, 2012. 137(1): p. 126–32.
    https://www.ncbi.nlm.nih.gov/pubmed/22076587

  579.  
  580. Wagner, C., W. Buchegger, M. Vellekoop, M. Kraft, et al.
    Time-resolved mid-IR spectroscopy of (bio)chemical reactions in solution utilizing a new generation of continuous-flow micro-mixers.
    Anal Bioanal Chem, 2011. 400(8): p. 2487–97.
    https://www.ncbi.nlm.nih.gov/pubmed/21369756

  581.  
  582. Vernoud, L., H.A. Bechtel, M.C. Martin, J.A. Reffner, et al.
    Characterization of multilayered glitter particles using synchrotron FT-IR microscopy.
    Forensic Sci Int, 2011. 210(1-3): p. 47–51.
    https://www.ncbi.nlm.nih.gov/pubmed/21354727

  583.  
  584. Tan, K.M., C.S. Herrington, and C.T. Brown
    Discrimination of normal from pre-malignant cervical tissue by Raman mapping of de-paraffinized histological tissue sections.
    J Biophotonics, 2011. 4(1-2): p. 40–8.
    https://www.ncbi.nlm.nih.gov/pubmed/20082345

  585.  
  586. Tahtouh, M., S.A. Scott, J.R. Kalman, and B.J. Reedy
    Four novel alkyl 2-cyanoacylate monomers and their use in latent fingermark detection by mid-infrared spectral imaging.
    Forensic Sci Int, 2011. 207(1-3): p. 223–38.
    https://www.ncbi.nlm.nih.gov/pubmed/21074340

  587.  
  588. St John, A., S. Best, Y. Wang, M. Tobin, et al.
    Micron-scale 2-D Mapping of the Composition and Homogeneity of Polymer Inclusion Membranes.
    CSIRO Publishing, 2011.
    http://dx.doi.org/10.1071/CH10458

  589.  
  590. Meyer, T., N. Bergner, C. Bielecki, C. Krafft, et al.
    Nonlinear microscopy, infrared, and Raman microspectroscopy for brain tumor analysis.
    J Biomed Opt, 2011. 16(2): p. 021113.
    https://www.ncbi.nlm.nih.gov/pubmed/21361676

  591.  
  592. Lasch, P. and W. Petrich
    Data Acquisition and Analysis in Biomedical Vibrational Spectroscopy.
    Book: Biomedical Applications of Synchrotron Infrared Microspectroscopy (editor: David Moss), 2011. Chapter 6.
    https://dx.doi.org/10.1039/9781849731997-00192

  593.  
  594. Krafft, C., M.A. Diderhoshan, P. Recknagel, M. Miljkovic, et al.
    Crisp and soft multivariate methods visualize individual cell nuclei in Raman images of liver tissue sections.
    Vibrational Spectroscopy, 2011. 55(1): p. 90–100.
    https://dx.doi.org/10.1016/j.vibspec.2010.09.003

  595.  
  596. Hobro, A.J. and B. Lendl
    Fourier-transform mid-infrared FPA imaging of a complex multicellular nematode.
    Vib Spec, 2011. 57(2): p. 213–219.
    https://dx.doi.org/10.1016/j.vibspec.2011.07.007

  597.  
  598. Hedegaard, M., M. C., S. Hassing, C. Krafft, et al.
    Spectral unmixing and clustering algorithms for assessment of single cells by Raman microscopic imaging.
    Theoretical Chemistry Accounts, 2011. 130(4-6): p. 1249–1260.
    https://dx.doi.org/10.1007/s00214-011-0957-1

  599.  
  600. Hajimohammadi, A., J.L. Provis, and J.S.J. van Deventer
    The effect of silica availability on the mechanism of geopolymerisation.
    Cement and Concrete Research, 2011. 41(3): p. 210–216.
    https://dx.doi.org/10.1016/j.cemconres.2011.02.001

  601.  
  602. Hajimohammadi, A., J.L. Provis, and J.S. van Deventer
    Time-resolved and spatially-resolved infrared spectroscopic observation of seeded nucleation controlling geopolymer gel formation.
    J Colloid Interface Sci, 2011. 357(2): p. 384–92.
    https://www.ncbi.nlm.nih.gov/pubmed/21397245

  603.  
  604. Croxford, A., M. Rowley, D. McNaughton, K.S. Nandakumar, et al.
    Chemical changes demonstrated in cartilage by synchrotron infrared microspectroscopy in an antibody-induced murine model of rheumatoid arthritis.
    Journal of Biomedical Optics, 2011. 16(6): p. 066004.
    https://doi.org/10.1117/1.3585680

  605.  
  606. Chonanant, C., N. Jearanaikoon, C. Leelayuwat, T. Limpaiboon, et al.
    Characterisation of chondrogenic differentiation of human mesenchymal stem cells using synchrotron FTIR microspectroscopy.
    Analyst, 2011. 136(12): p. 2542–51.
    https://www.ncbi.nlm.nih.gov/pubmed/21526247

  607.  
  608. Arora, R., G.I. Petrov, and V.V. Yakovlev
    Hyperspectral coherent anti-Stokes Raman scattering microscopy imaging through turbid medium.
    J Biomed Opt, 2011. 16(2): p. 021116.
    https://www.ncbi.nlm.nih.gov/pubmed/21361679

  609.  
  610. Arora, R., G.I. Petrov, and V. Yakovlev
    Coherent anti-Stokes Raman scattering imaging through turbid medium.
    SPIE BiOS, 2011. 7903.
    https://dx.doi.org/10.1117/12.875433

  611.  
  612. Zhao, R., L. Quaroni, and A.G. Casson
    Fourier transform infrared (FTIR) spectromicroscopic characterization of stem-like cell populations in human esophageal normal and adenocarcinoma cell lines.
    Analyst, 2010. 135(1): p. 53–61.
    https://www.ncbi.nlm.nih.gov/pubmed/20024181

  613.  
  614. Tosi, G., C. Conti, E. Giorgini, P. Ferraris, et al.
    FTIR microspectroscopy of melanocytic skin lesions: a preliminary study.
    Analyst, 2010. 135(12): p. 3213–9.
    https://www.ncbi.nlm.nih.gov/pubmed/20953511

  615.  
  616. Tanthanuch, W., K. Thumanu, C. Lorthongpanich, R. Parnpai, et al.
    Neural differentiation of mouse embryonic stem cells studied by FTIR spectroscopy.
    Journal of Molecular Structure, 2010. 967(1): p. 189–195.
    https://dx.doi.org/10.1016/j.molstruc.2010.01.007

  617.  
  618. Schulte, F., V. Joseph, U. Panne, and J. Kneipp
    Applications of Raman and Surface-Enhanced Raman Scattering to the Analysis of Eukaryotic Samples.
    Emerging Raman Applications and Techniques in Biomedical and Pharmaceutical Fields, 2010: p. 71–95.
    https://dx.doi.org/10.1007/978-3-642-02649-2_4

  619.  
  620. Pezzei, C., J.D. Pallua, G. Schaefer, C. Seifarth, et al.
    Characterization of normal and malignant prostate tissue by Fourier transform infrared microspectroscopy.
    Mol Biosyst, 2010. 6(11): p. 2287–95.
    https://www.ncbi.nlm.nih.gov/pubmed/20871936

  621.  
  622. Miljkovic, M., T. Chernenko, M.J. Romeo, B. Bird, et al.
    Label-free imaging of human cells: algorithms for image reconstruction of Raman hyperspectral datasets.
    Analyst, 2010. 135(8): p. 2002–13.
    https://www.ncbi.nlm.nih.gov/pubmed/20526496

  623.  
  624. Matschulat, A., D. Drescher, and J. Kneipp
    Surface-enhanced Raman scattering hybrid nanoprobe multiplexing and imaging in biological systems.
    ACS Nano, 2010. 4(6): p. 3259–69.
    https://www.ncbi.nlm.nih.gov/pubmed/20503969

  625.  
  626. Mariani, M.M., L.J. Maccoux, C. Matthaus, M. Diem, et al.
    Micro-Raman detection of nuclear membrane lipid fluctuations in senescent epithelial breast cancer cells.
    Anal Chem, 2010. 82(10): p. 4259–63.
    https://www.ncbi.nlm.nih.gov/pubmed/20380478

  627.  
  628. Leskovjan, A.C., A. Kretlow, and L.M. Miller
    Fourier transform infrared imaging showing reduced unsaturated lipid content in the hippocampus of a mouse model of Alzheimer's disease.
    Anal Chem, 2010. 82(7): p. 2711–6.
    https://www.ncbi.nlm.nih.gov/pubmed/20187625

  629.  
  630. Krafft, C., N. Bergner, C. Matthäus, B.F. Romeike, et al.
    FTIR, Raman, and CARS microscopic imaging for histopathologic assessment of brain tumors.
    SPIE BiOS, 2010. 7560.
    https://dx.doi.org/10.1117/12.851080

  631.  
  632. Heraud, P., E.S. Ng, S. Caine, Q.C. Yu, et al.
    Fourier transform infrared microspectroscopy identifies early lineage commitment in differentiating human embryonic stem cells.
    Stem Cell Res, 2010. 4(2): p. 140–7.
    https://www.ncbi.nlm.nih.gov/pubmed/20060373

  633.  
  634. Heraud, P., S. Caine, N. Campanale, T. Karnezis, et al.
    Early detection of the chemical changes occurring during the induction and prevention of autoimmune-mediated demyelination detected by FT-IR imaging.
    Neuroimage, 2010. 49(2): p. 1180–9.
    https://www.ncbi.nlm.nih.gov/pubmed/19796690

  635.  
  636. Hajimohammadi, A., J.L. Provis, and J.S.J. van Deventer
    Effect of Alumina Release Rate on the Mechanism of Geopolymer Gel Formation.
    Chemistry of Materials, 2010. 22(18): p. 5199–5208.
    https://doi.org/10.1021/cm101151n

  637.  
  638. Giorgini, E., C. Conti, P. Ferraris, S. Sabbatini, et al.
    Effects of Lactobacillus rhamnosus on zebrafish oocyte maturation: an FTIR imaging and biochemical analysis.
    Anal Bioanal Chem, 2010. 398(7-8): p. 3063–72.
    https://www.ncbi.nlm.nih.gov/pubmed/20936269

  639.  
  640. Falamas, A., S. Cinta-Pinzaru, C. Dehelean, C. Krafft, et al.
    Raman and FT-IR imaging of in vivo damaged tissue induced by 7, 12-dimethylbenzanthracene (DMBA) in mouse models.
    Romanian Journal of Biophysics, 2010. 20(1): p. 1–11.
    https://www.rjb.ro/raman-and-ft-ir-imaging-of-in-vivo-damaged-tissue-induced-by-7-12-dymethilbenzanthracene-dmba-in-mouse-models/

  641.  
  642. Ellis, G., G. Santoro, M.A. Gómez, and C. Marco
    Synchrotron IR microspectroscopy: Opportunities in polymer science.
    IOP Conference Series: Materials Science and Engineering, 2010. 14: p. 012019.
    https://dx.doi.org/10.1088/1757-899X/14/1/012019

  643.  
  644. Carter, E.A., B.S. Rayner, A.I. McLeod, L.E. Wu, et al.
    Silicon nitride as a versatile growth substrate for microspectroscopic imaging and mapping of individual cells.
    Mol Biosyst, 2010. 6(7): p. 1316–22.
    https://www.ncbi.nlm.nih.gov/pubmed/20445927

  645.  
  646. Asghari-Khiavi, M., B.R. Wood, A. Mechler, K.R. Bambery, et al.
    Correlation of atomic force microscopy and Raman micro-spectroscopy to study the effects of ex vivo treatment procedures on human red blood cells.
    Analyst, 2010. 135(3): p. 525–30.
    https://www.ncbi.nlm.nih.gov/pubmed/20174705

  647.  
  648. Wood, B.R., A. Hermelink, P. Lasch, K.R. Bambery, et al.
    Resonance Raman microscopy in combination with partial dark-field microscopy lights up a new path in malaria diagnostics.
    Analyst, 2009. 134(6): p. 1119–25.
    https://www.ncbi.nlm.nih.gov/pubmed/19475137

  649.  
  650. Untereiner, V., O. Piot, M.D. Diebold, O. Bouche, et al.
    Optical diagnosis of peritoneal metastases by infrared microscopic imaging.
    Anal Bioanal Chem, 2009. 393(6-7): p. 1619–27.
    https://www.ncbi.nlm.nih.gov/pubmed/19219424

  651.  
  652. Thumanu, K., W. Tanthanuch, C. Lorthongpanich, P. Heraud, et al.
    FTIR microspectroscopic imaging as a new tool to distinguish chemical composition of mouse blastocyst.
    Journal of Molecular Structure, 2009. 933(1): p. 104–111.
    https://dx.doi.org/10.1016/j.molstruc.2009.06.003

  653.  
  654. Rutlidge, H.T. and B.J. Reedy
    Classification of heterogeneous solids using infrared hyperspectral imaging.
    Appl Spectrosc, 2009. 63(2): p. 172–9.
    https://www.ncbi.nlm.nih.gov/pubmed/19215646

  655.  
  656. Quaroni, L. and A.G. Casson
    Characterization of Barrett esophagus and esophageal adenocarcinoma by Fourier-transform infrared microscopy.
    Analyst, 2009. 134(6): p. 1240–6.
    https://www.ncbi.nlm.nih.gov/pubmed/19475154

  657.  
  658. Pääkkönen, J., N. Päivinen, and P. Toivanen
    Challenges in Computational Histopathology: The Feasibility of FTIR Spectroscopy in Clustering.
    2009 Fifth International Conference on Signal Image Technology and Internet Based Systems, 2009: p. 59–64.
    https://dx.doi.org/10.1109/SITIS.2009.20

  659.  
  660. Miljković, M., L. Quintero, Matthäus, C., T. Chernenko, et al.
    A Comparison of Imaging Algorithms for the Analysis of Raman Hyperspectral Datasets from Human Cells.
    Poster, 2009.
    no link available

  661.  
  662. McNaughton, D., B.R. Wood, T.C. Cox, J.D. Drenckhahn, et al.
    3-D Imaging of Biomedical Samples.
    Infrared and Raman Spectroscopic Imaging, 2009: p. 203–221.
    https://dx.doi.org/10.1002/9783527628230.ch6

  663.  
  664. Lasch, P., A. Hermelink, and D. Naumann
    Correction of axial chromatic aberrations in confocal Raman microspectroscopic measurements of a single microbial spore.
    Analyst, 2009. 134(6): p. 1162–70.
    https://www.ncbi.nlm.nih.gov/pubmed/19475143

  665.  
  666. Krafft, C., A.A. Ramoji, C. Bielecki, N. Vogler, et al.
    A comparative Raman and CARS imaging study of colon tissue.
    J Biophotonics, 2009. 2(5): p. 303–12.
    https://www.ncbi.nlm.nih.gov/pubmed/19434617

  667.  
  668. Umeri, A., T.A. Kuku, N. Scuor, and V. Sergo
    Raman investigation of the ageing of Ni-BaTiO3 multilayer ceramic capacitors.
    Journal of Materials Science, 2008. 43(3): p. 922–926.
    https://dx.doi.org/10.1007/s10853-007-2215-4

  669.  
  670. Toyran, N., F. Severcan, M. Severcan, and B. Turan
    Effects of selenium supplementation on rat heart apex and right ventricle myocardia by using FTIR spectroscopy: A cluster analysis and neural network approach.
    Food Chemistry, 2008. 110(3): p. 590–597.
    https://dx.doi.org/10.1016/j.foodchem.2008.02.044

  671.  
  672. Schulte, F., J. Lingott, U. Panne, and J. Kneipp
    Chemical characterization and classification of pollen.
    Anal Chem, 2008. 80(24): p. 9551–6.
    https://www.ncbi.nlm.nih.gov/pubmed/18975984

  673.  
  674. Ooi, G.J., J. Fox, K. Siu, R. Lewis, et al.
    Fourier transform infrared imaging and small angle x-ray scattering as a combined biomolecular approach to diagnosis of breast cancer.
    Med Phys, 2008. 35(5): p. 2151–61.
    https://www.ncbi.nlm.nih.gov/pubmed/18561690

  675.  
  676. Krafft, C., D. Codrich, G. Pelizzo, and V. Sergo
    Raman and FTIR imaging of lung tissue: Methodology for control samples.
    Vibrational Spectroscopy, 2008. 46(2): p. 141–149.
    https://dx.doi.org/10.1016/j.vibspec.2007.12.007

  677.  
  678. Chiovitti, A., P. Heraud, T.M. Dugdale, O.M. Hodson, et al.
    Divalent cations stabilize the aggregation of sulfated in the adhesive nanofibers of the biofouling diatom Toxarium undulatum.
    Soft Matter, 2008. 4(4): p. 811–820.
    https://www.ncbi.nlm.nih.gov/pubmed/32907187

  679.  
  680. Bonifacio, A., S. Finaurini, C. Krafft, S. Parapini, et al.
    Spatial distribution of heme species in erythrocytes infected with Plasmodium falciparum by use of resonance Raman imaging and multivariate analysis.
    Anal Bioanal Chem, 2008. 392(7-8): p. 1277–82.
    https://www.ncbi.nlm.nih.gov/pubmed/18836854

  681.  
  682. Bird, B., M. Miljkovic, M.J. Romeo, J. Smith, et al.
    Infrared micro-spectral imaging: distinction of tissue types in axillary lymph node histology.
    BMC Clin Pathol, 2008. 8: p. 8.
    https://www.ncbi.nlm.nih.gov/pubmed/18759967

  683.  
  684. Ali, K., Y. Lu, C. Christensen, T. May, et al.
    Fourier transform infrared spectromicroscopy and hierarchical cluster analysis of human meningiomas.
    Int J Mol Med, 2008. 21(3): p. 297–301.
    https://www.ncbi.nlm.nih.gov/pubmed/18288376

  685.  
  686. Toyran, N., B. Turan, and F. Severcan
    Selenium alters the lipid content and protein profile of rat heart: an FTIR microspectroscopic study.
    Arch Biochem Biophys, 2007. 458(2): p. 184–93.
    https://www.ncbi.nlm.nih.gov/pubmed/17240348

  687.  
  688. Toyran, N., F. Severcan, M. Severcan, and B. Turan
    Investigation of diabetes-induced effect on apex of rat heart myocardium by using cluster analysis and neural network approach: An FTIR study.
    Journal of Spectroscopy, 2007. 21: p. 269618.
    https://dx.doi.org/10.1155/2007/269618

  689.  
  690. Peiqiang, Y.
    Protein Molecular Structures, Protein SubFractions, and Protein Availability Affected by Heat Processing: A Review.
    American Journal of Biochemistry and Biotechnology, 2007. 3(2).
    https://dx.doi.org/10.3844/ajbbsp.2007.66.86

  691.  
  692. McNaughton, D. and B.R. Wood
    Applications of fourier-transform infrared imaging in cancer research.
    ACS Symposium Series. American Chemical Society, 2007. 963: p. 14–29.
    https://dx.doi.org/10.1021/bk-2007-0963.ch002

  693.  
  694. Lasch, P., M. Diem, W. Hansch, and D. Naumann
    Artificial neural networks as supervised techniques for FT-IR microspectroscopic imaging.
    J Chemom, 2007. 20(5): p. 209–220.
    https://www.ncbi.nlm.nih.gov/pubmed/19960119

  695.  
  696. Lasch, P.
    Diagnostic Potentials of FT-IR Microspectrometry in the Examination of Colorectal Adenocarcinomas.
    Presented at the 1st International Workshop On Spectral Diagnostics (SD-1), Boston, June 21st - 23rd, 2007., 2007. 1(1).
    no link available

  697.  
  698. Heraud, P., S. Caine, G. Sanson, R. Gleadow, et al.
    Focal plane array infrared imaging: a new way to analyse leaf tissue.
    New Phytol, 2007. 173(1): p. 216–25.
    https://www.ncbi.nlm.nih.gov/pubmed/17176407

  699.  
  700. Dumas, P., G.D. Sockalingum, and J. Sule-Suso
    Adding synchrotron radiation to infrared microspectroscopy: what's new in biomedical applications?
    Trends Biotechnol, 2007. 25(1): p. 40–4.
    https://www.ncbi.nlm.nih.gov/pubmed/17116340

  701.  
  702. Chew, S.F., B.R. Wood, C. Kanaan, J. Browning, et al.
    Fourier transform infrared imaging as a method for detection of HLA class I expression in melanoma without the use of antibody.
    Tissue Antigens, 2007. 69 Suppl 1: p. 252–8.
    https://www.ncbi.nlm.nih.gov/pubmed/17445214

  703.  
  704. Bayari, S.H., H. Utku, Y. Ikemoto, B. Celasun, et al.
    Synchrotron FT-IR microspectroscopic analysis of necrotic bone.
    Spectroscopy, 2007. 21: p. 732013.
    https://dx.doi.org/10.1155/2007/732013

  705.  
  706. Wood, B.R., K.R. Bambery, C.J. Evans, M.A. Quinn, et al.
    A three-dimensional multivariate image processing technique for the analysis of FTIR spectroscopic images of multiple tissue sections.
    BMC Med Imaging, 2006. 6(12): p. 12.
    https://www.ncbi.nlm.nih.gov/pubmed/17014733

  707.  
  708. Romeo, M., B. Mohlenhoff, M. Jennings, and M. Diem
    Infrared micro-spectroscopic studies of epithelial cells.
    Biochim Biophys Acta, 2006. 1758(7): p. 915–22.
    https://www.ncbi.nlm.nih.gov/pubmed/16797481

  709.  
  710. Romeo, M., B. Mohlenhoff, and M. Diem
    Infrared micro-spectroscopy of human cells: Causes for the spectral variance of oral mucosa (buccal) cells.
    Vib Spectrosc, 2006. 42(1): p. 9–14.
    https://www.ncbi.nlm.nih.gov/pubmed/19750140

  711.  
  712. Matthaus, C., S. Boydston-White, M. Miljkovic, M. Romeo, et al.
    Raman and infrared microspectral imaging of mitotic cells.
    Appl Spectrosc, 2006. 60(1): p. 1–8.
    https://www.ncbi.nlm.nih.gov/pubmed/16454901

  713.  
  714. Liu, K.Z., A. Man, R.A. Shaw, B. Liang, et al.
    Molecular determination of liver fibrosis by synchrotron infrared microspectroscopy.
    Biochim Biophys Acta, 2006. 1758(7): p. 960–7.
    https://www.ncbi.nlm.nih.gov/pubmed/16806057

  715.  
  716. Lasch, P. and D. Naumann
    Spatial resolution in infrared microspectroscopic imaging of tissues.
    Biochim Biophys Acta, 2006. 1758(7): p. 814–29.
    https://www.ncbi.nlm.nih.gov/pubmed/16875659

  717.  
  718. Fabian, H., N.A. Thi, M. Eiden, P. Lasch, et al.
    Diagnosing benign and malignant lesions in breast tissue sections by using IR-microspectroscopy.
    Biochim Biophys Acta, 2006. 1758(7): p. 874–82.
    https://www.ncbi.nlm.nih.gov/pubmed/16814743

  719.  
  720. Bambery, K.R., E. Schultke, B.R. Wood, S.T. Rigley MacDonald, et al.
    A Fourier transform infrared microspectroscopic imaging investigation into an animal model exhibiting glioblastoma multiforme.
    Biochim Biophys Acta, 2006. 1758(7): p. 900–7.
    https://www.ncbi.nlm.nih.gov/pubmed/16815240

  721.  
  722. Yu, P.
    Application of cluster analysis (CLA) in feed chemical imaging to accurately reveal structural-chemical features of feeds and plants within cellular dimension.
    J Agric Food Chem, 2005. 53(8): p. 2872–80.
    https://www.ncbi.nlm.nih.gov/pubmed/15826033

  723.  
  724. Yu, P.
    Applications of hierarchical cluster analysis (CLA) and principal component analysis (PCA) in feed structure and feed molecular chemistry research, using synchrotron-based Fourier transform infrared (FTIR) microspectroscopy.
    J Agric Food Chem, 2005. 53(18): p. 7115–27.
    https://www.ncbi.nlm.nih.gov/pubmed/16131119

  725.  
  726. Wood, B.R. and D. McNaughton
    FPA Imaging and Spectroscopy for Monitoring Chemical Changes in Tissue.
    Spectrochemical Analysis Using Infrared Multichannel Detectors, 2005: p. 204–233.
    https://dx.doi.org/10.1002/9780470988541.ch10

  727.  
  728. Wood, B.R., K.R. Bambery, L.M. Miller, M. Quinn, et al.
    Infrared imaging of normal and diseased cervical tissue sections.
    Proc SPIE, 2005. 5651: p. 78–84.
    http://dx.doi.org/10.1117/12.582294

  729.  
  730. Wang, Q., A. Kretlow, M. Beekes, D. Naumann, et al.
    In situ characterization of prion protein structure and metal accumulation in scrapie-infected cells by synchrotron infrared and X-ray imaging.
    Vibrational Spectroscopy, 2005. 38(1): p. 61–69.
    https://dx.doi.org/10.1016/j.vibspec.2005.02.023

  731.  
  732. Tahtouh, M., J.R. Kalman, C. Roux, C. Lennard, et al.
    The detection and enhancement of latent fingermarks using infrared chemical imaging.
    J Forensic Sci, 2005. 50(1): p. 64–72.
    https://www.ncbi.nlm.nih.gov/pubmed/15830998

  733.  
  734. Romeo, M.J. and M. Diem
    Infrared spectral imaging of lymph nodes: Strategies for analysis and artifact reduction.
    Vib Spectrosc, 2005. 38(1-2): p. 115–119.
    https://www.ncbi.nlm.nih.gov/pubmed/19718274

  735.  
  736. Hynes, A., D.A. Scott, A. Man, D.L. Singer, et al.
    Molecular mapping of periodontal tissues using infrared microspectroscopy.
    BMC Med Imaging, 2005. 5(1): p. 2.
    https://www.ncbi.nlm.nih.gov/pubmed/15890072

  737.  
  738. Gough, K.M., M. Rak, A. Bookatz, B. Del, M., et al.
    Choices for tissue visualization with IR microspectroscopy.
    Vib Spec, 2005. 38(1-2): p. 133–141.
    https://dx.doi.org/10.1016/j.vibspec.2005.02.027

  739.  
  740. Flynn, K., R. O'Leary, C. Lennard, C. Roux, et al.
    Forensic applications of infrared chemical imaging: multi-layered paint chips.
    J Forensic Sci, 2005. 50(4): p. 832–41.
    https://www.ncbi.nlm.nih.gov/pubmed/16078484

  741.  
  742. Crombie, D.E., M. Turer, B.B. Zuasti, B. Wood, et al.
    Destructive effects of murine arthritogenic antibodies to type II collagen on cartilage explants in vitro.
    Arthritis Res Ther, 2005. 7(5): p. R927–37.
    https://www.ncbi.nlm.nih.gov/pubmed/16207334

  743.  
  744. Bai, L. and Y. Liu
    Classification of FTIR cancer data using wavelets and fuzzy C-means clustering.
    Optics East 2005, 2005. 6001.
    https://dx.doi.org/10.1117/12.629946

  745.  
  746. Yu, P.
    Application of advanced synchrotron radiation-based Fourier transform infrared (SR-FTIR) microspectroscopy to animal nutrition and feed science: a novel approach.
    Br J Nutr, 2004. 92(6): p. 869–85.
    https://www.ncbi.nlm.nih.gov/pubmed/15613249

  747.  
  748. Wood, B.R., L. Chiriboga, H. Yee, M.A. Quinn, et al.
    Fourier transform infrared (FTIR) spectral mapping of the cervical transformation zone, and dysplastic squamous epithelium.
    Gynecol Oncol, 2004. 93(1): p. 59–68.
    https://www.ncbi.nlm.nih.gov/pubmed/15047215

  749.  
  750. Lasch, P., N.A. Ngo Thi, H. Fabian, and D. Naumann
    Infrarot-Imaging für die pathohistologische Diagnostik.
    Laborwelt, 2004. 4(2): p. 8–12.
    no link available

  751.  
  752. Lasch, P., W. Haensch, D. Naumann, and M. Diem
    Imaging of colorectal adenocarcinoma using FT-IR microspectroscopy and cluster analysis.
    Biochim Biophys Acta, 2004. 1688(2): p. 176–86.
    https://www.ncbi.nlm.nih.gov/pubmed/14990348

  753.  
  754. Lasch, P., M. Diem, and D. Naumann
    FT-IR microspectroscopic imaging of prostate tissue sections.
    Proc SPIE, 2004. 5321(Biomedical Vibrational Spectroscopy and Biohazard Detection Technologies).
    https://dx.doi.org/10.1117/12.529125

  755.  
  756. Kneipp, J., L.M. Miller, S. Spassov, F. Sokolowski, et al.
    Prion structure investigated in situ, ex vivo, and in vitro by FTIR spectroscopy.
    Biomedical Optics 2004, 2004. 5321: p. 9.
    https://dx.doi.org/10.1117/12.529918

  757.  
  758. Dumas, P., N. Jamin, J.L. Teillaud, L.M. Miller, et al.
    Imaging capabilities of synchrotron infrared microspectroscopy.
    Faraday Discuss, 2004. 126: p. 289–302; discussion 303–11.
    http://www.ncbi.nlm.nih.gov/pubmed/14992414

  759.  
  760. Diem, M., M. Romeo, S. Boydston-White, M. Miljkovic, et al.
    A decade of vibrational micro-spectroscopy of human cells and tissue (1994-2004).
    Analyst, 2004. 129(10): p. 880–5.
    http://www.ncbi.nlm.nih.gov/pubmed/15457314

  761.  
  762. Diem, M., M. Romeo, S. Boydston-White, M. Miljcovic, et al.
    Infrared spectral imaging of human cells and tissue: an approach to objective, machine-based histopathology.
    Infrared and Millimeter Waves, Conference Digest of the 2004 Joint 29th International Conference on 2004 and 12th International Conference on Terahertz Electronics, 2004., 2004: p. 75–76.
    https://dx.doi.org/10.1109/ICIMW.2004.1421960

  763.  
  764. Bambery, K.R., B.R. Wood, M.A. Quinn, and D. McNaughton
    Fourier Transform Infrared Imaging and Unsupervised Hierarchical Clustering Applied to Cervical Biopsies.
    Australian Journal of Chemistry, 2004. 57(12): p. 1139–1143.
    https://dx.doi.org/10.1071/CH04137

  765.  
  766. Kneipp, J., L.M. Miller, M. Joncic, M. Kittel, et al.
    In situ identification of protein structural changes in prion-infected tissue.
    Biochim Biophys Acta, 2003. 1639(3): p. 152–8.
    https://www.ncbi.nlm.nih.gov/pubmed/14636946

  767.  
  768. Fabian, F., P. Lasch, M. Boese, and W. Haensch
    Infrared microspectroscopic imaging of benign breast tumor tissue sections.
    J Mol Struct, 2003. 661–662: p. 411–417.
    https://dx.doi.org/10.1016/j.molstruc.2003.07.002

  769.  
  770. Dumas, P. and M.J. Tobin
    A bright source for infrared microspectroscopy: synchrotron radiation.
    Spectroscopy Europe, 2003.
    no link available

  771.  
  772. Lasch, P., A. Pacifico, and M. Diem
    Spatially resolved IR microspectroscopy of single cells.
    Biopolymers, 2002. 67(4-5): p. 335–8.
    https://www.ncbi.nlm.nih.gov/pubmed/12012461

  773.  
  774. Lasch, P., W. Haensch, E.N. Lewis, L.H. Kidder, et al.
    Characterization of Colorectal Adenocarcinoma Sections by Spatially Resolved FT-IR Microspectroscopy.
    Appl Spectrosc, 2002. 56(1): p. 1–9.
    https://dx.doi.org/10.1366/0003702021954322

  775.  
  776. Lasch, P., L. Chiriboga, H. Yee, and M. Diem
    Infrared spectroscopy of human cells and tissue: detection of disease.
    Technol Cancer Res Treat, 2002. 1(1): p. 1–7.
    https://www.ncbi.nlm.nih.gov/pubmed/12614171

  777.  
  778. Kneipp, J., P. Lasch, M. Beekes, and D. Naumann
    In-situ spectroscopic investigation of transmissible spongiform encephalopathies: application of Fourier-transform infrared spectroscopy to a scrapie-hamster model.
    International Symposium on Biomedical Optics, 2002. 4614.
    https://dx.doi.org/10.1117/12.460795

  779.  
  780. Kneipp, J., P. Lasch, M. Beekes, and D. Naumann
    In situ spectroscopic investigation of transmissible spongiform encephalopathies: Application of Fourier-transform infrared spectroscopy to a scrapie-hamster model.
    Proc SPIE, 2002. 4614: p. 12–19.
    https://dx.doi.org/10.1117/12.460795

  781.  
  782. Kneipp, J., M. Beekes, P. Lasch, and D. Naumann
    Molecular changes of preclinical scrapie can be detected by infrared spectroscopy.
    J Neurosci, 2002. 22(8): p. 2989–97.
    https://www.ncbi.nlm.nih.gov/pubmed/11943801

  783.  
  784. Fabian, H., P. Lasch, M. Boese, and W. Haensch
    Mid-IR microspectroscopic imaging of breast tumor tissue sections.
    Biopolymers, 2002. 67(4-5): p. 354–7.
    https://www.ncbi.nlm.nih.gov/pubmed/12012465

  785.  

 

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