Journal ArticleDOI
Disease recognition by infrared and Raman spectroscopy.
TLDR
The current review gives an overview of the experimental techniques, data‐classification algorithms and applications to assess soft tissues, hard tissues and body fluids to recognize various diseases.Abstract:
Infrared (IR) and Raman spectroscopy are emerging biophotonic tools to recognize various diseases. The current review gives an overview of the experimental techniques, data-classification algorithms and applications to assess soft tissues, hard tissues and body fluids. The methodology section presents the principles to combine vibrational spectroscopy with microscopy, lateral information and fiber-optic probes. A crucial step is the classification of spectral data by a variety of algorithms. We discuss unsupervised algorithms such as cluster analysis or principal component analysis and supervised algorithms such as linear discriminant analysis, soft independent modeling of class analogies, artificial neural networks support vector machines, Bayesian classification, partial least-squares regression and ensemble methods. The selected topics include tumors of epithelial tissue, brain tumors, prion diseases, bone diseases, atherosclerosis, kidney stones and gallstones, skin tumors, diabetes and osteoarthritis.read more
Citations
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Journal ArticleDOI
Using Raman spectroscopy to characterize biological materials
Holly J. Butler,Lorna Ashton,Benjamin Bird,Gianfelice Cinque,Kelly Curtis,Jennifer Dorney,Karen A. Esmonde-White,Nigel J. Fullwood,Benjamin Gardner,Pierre L. Martin-Hirsch,Pierre L. Martin-Hirsch,Michael J. Walsh,Martin R. McAinsh,Nicholas Stone,Francis Martin +14 more
TL;DR: A robust approach for sample preparation, instrumentation, acquisition parameters and data processing is explored and it is expected that a typical Raman experiment can be performed by a nonspecialist user to generate high-quality data for biological materials analysis.
Journal ArticleDOI
Engineering metallic nanostructures for plasmonics and nanophotonics
TL;DR: This review focuses on top-down nanofabrication techniques for engineering metallic nanostructures, along with computational and experimental characterization techniques, for a variety of current and emerging applications.
Journal ArticleDOI
Review of multidimensional data processing approaches for Raman and infrared spectroscopy
TL;DR: In this article, a review of the state-of-the-art data processing tools for multivariate analysis and various preprocessing methods that are widely used in Raman and IR spectroscopy including imaging for better qualitative and quantitative analysis of biological samples.
Journal Article
Infrared spectroscopy and microscopy in cancer research and diagnosis.
G. Bellisola,Claudio Sorio +1 more
TL;DR: This review aims at illustrating some principles of Fourier transform (FT) Infrared (IR) vibrational spectroscopy and microscopy (microFT-IR) as a useful method to interrogate molecules in specimen by mid-IR radiation.
Journal ArticleDOI
Microfluidics and Raman microscopy: current applications and future challenges
Adam F. Chrimes,Khashayar Khoshmanesh,Paul R. Stoddart,Arnan Mitchell,Kourosh Kalantar-zadeh +4 more
TL;DR: This review aims to provide an overview of Raman microscopy-microfluidics integrated systems for researchers who are actively interested in utilising these tools.
References
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Journal ArticleDOI
Chemical imaging of tissue in vivo with video-rate coherent anti-Stokes Raman scattering microscopy.
TL;DR: A sensitive technique for vibrational imaging of tissues by combining coherent anti-Stokes Raman scattering (CARS) with video-rate microscopy is developed and CARS imaging and spectroscopy of lipid-rich tissue structures in the skin of a live mouse is demonstrated, with unprecedented contrast at subcellular resolution.
Journal ArticleDOI
Metabolic fingerprinting in disease diagnosis: biomedical applications of infrared and Raman spectroscopy.
David I. Ellis,Royston Goodacre +1 more
TL;DR: This review focuses on a selective number of recent studies where metabolic fingerprinting has been forwarded as a potential tool for disease diagnosis using infrared and Raman spectroscopies.
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Infrared spectroscopic imaging for histopathologic recognition.
TL;DR: High-throughput Fourier transform infrared spectroscopic imaging of tissue microarrays is couple with statistical pattern recognition of spectra indicative of endogenous molecular composition and histopathologic characterization of prostatic tissue is demonstrated.
Journal ArticleDOI
Near‐infrared Raman spectroscopy for the classification of epithelial pre‐cancers and cancers
TL;DR: The use of near-infrared Raman spectroscopy to interrogate epithelial tissue biochemistry and hence distinguish between normal and abnormal tissues was investigated and principal component fed linear discriminant models demonstrated excellent group separation, when tested by cross-validation.
Journal ArticleDOI
Imaging of colorectal adenocarcinoma using FT-IR microspectroscopy and cluster analysis.
TL;DR: Among the cluster imaging methods, AH clustering (Ward's algorithm) proved to be the best method in terms of tissue structure differentiation.
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