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Raman spectroscopy has demonstrated the sensitivity to distinguish between cancerous, pre-cancerous and normal tissues, and its sensitivity to changes in cell metabolites and protein structures elevate it above competing spectroscopic techniques. Biological systems and materials provide unique challenges to Raman technology. Using Raman systems with Ultraviolet (UV) and Near Infrared (NIR) laser excitations allows the spectral region with the strongest fluorescence to be avoided. In addition to fluorescence, the majority of biological samples can be classified as weak Raman scatterers, with pigmented materials (such as vascular tissue) being strong absorbers of laser energy and thus more prone to laser damage. Renishaw has risen to these challenges by developing innovative techniques such as StreamLine™ Plus imaging to maximise the effectiveness of Raman in studying biological and biomedical materials. StreamLine™ Plus chemical imaging is set to revolutionise spectroscopic analysis of biological materials. It allows biologists to take advantage of the superior chemical specificity and excellent spatial resolution associated with Raman spectroscopy to generate detailed chemical images at unprecedented speeds. In the image above, chemometric analysis of oesophageal tissue has identified that the concentration of glycogen is the primary differentiator between cells of differing maturity. Documents for download
Selected publicationsCharacterization of microorganisms using UV Resonance Raman Spectroscopy and chemometrics (2004), E Consuelo Lopez-Diez. Analytical Chemistry, 76, 585-591 Evaluation of surface-enhanced resonance Raman scattering for quantitative DNA analysis (2004), K Faulds et al, Analytical Chemistry, 76, 412-417 Surface-enhanced Raman scattering for bacterial characterization using a scanning electron microscope with a Raman spectroscopy interface (2004), R Jarvis et al, Analytical Chemistry 76, 5198-5202 Spectroscopic study of human lung epithelial cells (A549) in culture: living cells versus dead cells (2003), I Notingher et al, Biospectroscopy, 72, 230-240 Near-infrared Raman spectroscopy for the classification of epithelial pre-cancers and cancers (2002), N Stone et al, Journal of Raman Spectroscopy, 33, 564-573 Direct Raman imaging techniques for study of the subcellular distribution of a drug (2002), J Ling et al, Applied Optics, 6006-6017 NewsletterAll the latest innovations in Raman spectroscopy - newsletter sign up here Download past and present newsletters from our Newsletter archive StreamLine™ Plus fast Raman imaging |
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