Journal Article10.1002/JBIO.200810024
Disease recognition by infrared and Raman spectroscopy.
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TL;DR: 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.
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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.
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Citations
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.
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.
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.
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.
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Raman Spectroscopy and Related Techniques in Biomedicine
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TL;DR: Coherent anti-Stokes Raman (CARS) microscopy and stimulated Raman loss (SRL) microscopeopy are orders of magnitude more efficient than Raman spectroscopy, and are able to acquire high quality chemically-specific images in seconds.
214
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•Journal Article
Infrared spectroscopy of exfoliated cervical cell specimens. Proceed with caution.
TL;DR: The infrared spectra of exfoliated cervical cells carry information regarding the presence or absence of dysplasia, and that information is recoverable--albeit imperfectly at this stage--from the spectraof "real life" cell preparations.
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