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Gokulakrishnan Srinivasan: Vibrational Spectroscopic Imaging for Biomedical Applications (ePUB)

vibrational spectroscopic imaging for biomedical applications srinivasan gokulakrishnan

Study,59 a background spectrum of growth medium was collected in a cell-free region of the sample and ratioed to the cell spectrum. The k-means algorithm assigns each point to one of k clusters whose center is nearest. The Raman spectra of gray-shaded cluster within the cyan cluster are characterized by increased spectral contributions of nucleic acids not shown. It is aimed at researchers with a background in chemistry and physics, and is presented at the level suitable for first year graduate students. The metrics are arranged in order of increasing error and employed to classify tissue.

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Vibrational spectroscopic imaging for biomedical applications [electronic resource] in SearchWorks catalog

vibrational spectroscopic imaging for biomedical applications srinivasan gokulakrishnan

We have used Raman microspectroscopy to verify the identity of crystal depositions as calcium hydroxyapatite in cardiomyopathic hamster heart tissue sections. Integrated filters suppress the elastic Rayleigh scattering and background signals that are generated by the intense excitation laser inside the fiber. The diffraction-limited volume of sample illuminated can be estimated as a cone, where the base of the cone is the diffraction-limited spot size x,y of the focused beam and the height of the cone is the penetration depth dp. This is accomplished by applying a least squares linear fit to each core for the fraction of boxes containing at least 50 percent epithelium versus box size dataset and computing the offset y-intercept value. For this publication we demonstrate the performance of the flow chamber using an algal specimen Micrasterias sp. From a quantitative perspective, the adherence of the Beer Lambert law dictates that the sole mechanism for the attenuation of light must be absorption and that the optical path length through the sample be well known.

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Vibrational Spectroscopic Imaging for Biomedical Applications

vibrational spectroscopic imaging for biomedical applications srinivasan gokulakrishnan

Gokulakrishnan Srinivasan received his PhD in Chemistry in 2005 from the Institute of Physical Chemistry at the University of Stuttgart, Germany. In this mode, the sample was globally illuminated and the pixel size of the detector served to spatially isolate a given point on the sample. Epithelial pixels are then divided into cancer and normal classes based on identification of malignant tissue cores by a trained pathologist. A plot of the distribution for the annular aperture present in a reflecting objective is given in Fig. Prominent stroma and epithelium spectral features are compared with breast tissue spectral features previously identified by other groups33,39,40 to assess the biological relevance of each metric. This variation in observed pathology would impact the biochemical features present in the spectra.

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Gokulakrishnan Srinivasan: Vibrational Spectroscopic Imaging for Biomedical Applications (ePUB)

vibrational spectroscopic imaging for biomedical applications srinivasan gokulakrishnan

In this figure the adipocytes are visualised as large dark bodies designated with Adp in Fig. Vibrational spectroscopic imaging of microscopic stress patterns in biomedical materials Giuseppe Pezzotti 11. The information content of the both techniques was found to be complementary. Neither McGraw-Hill nor its licensors shall be liable to you or anyone else for any inaccuracy, error or omission, regardless of cause, in the work or for any damages resulting therefrom. The topical structure of this new edition is now subdivided into four parts.

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Vibrational Spectroscopic Imaging for Biomedical Applications : Gokulakrishnan Srinivasan : 9780071596992

vibrational spectroscopic imaging for biomedical applications srinivasan gokulakrishnan

The efficient use of vibrational spectroscopy in clinical applications is emphasized in this state-of-the-art guide. Tailored chemical fixation protocols for vibrational spectroscopy may, however, be necessary in some instances. As described below, these are important organisms that are our experimental systems of choice. Although this method was based on physical means, the extension to vibrational molecular spectroscopy enables the detection of chemical differences related to disease. Tissue Imaging with Coherent Anti-Stokes Raman Scattering Microscopy; Index. Besides microscopic imaging, another promising medical application of Raman spectroscopy is the combination with endoscopy. However, when taking z into consideration, the short wavelength limit 2.

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Vibrational spectroscopic imaging for biomedical applications [electronic resource] in SearchWorks catalog

vibrational spectroscopic imaging for biomedical applications srinivasan gokulakrishnan

This method involves immersing tissue into a primary fixative, which is usually an aqueous formalinbased solution. The basic components consist of a light source, a light guide, and an endoscope which can be rigid or flexible. Cell stress was induced by adding 1 mM glyoxal to the medium for 24 hours. The averaged Raman spectra of the cyan and black clusters are overlaid in Fig. High-spatial resolution chemical analyses are essential to correlate information from other experimental methods with cell genotype and phenotype. Unnecessary tissue excisions and the biopsy related costs and risks could be avoided.

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Vibrational Spectroscopic Imaging for Biomedical Applications by Gokulakrishnan Srinivasan

vibrational spectroscopic imaging for biomedical applications srinivasan gokulakrishnan

In spite of the low-exposure time, Raman spectra of reasonable signal to noise ratio were obtained after k-means cluster analysis. The efficient use of vibrational spectroscopy in clinical applications is emphasized in this state-of-the-art guide. The image on the left Fig. Interestingly, upon xylene exposure, the amide I band reappears with appreciable intensity. It was suggested that snap-frozen tissues should be stored without any medium. . The data demonstrate that as the refractive index difference increases between the sample and its surroundings, the infrared band shapes become asymmetric.

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Gokulakrishnan Srinivasan: Vibrational Spectroscopic Imaging for Biomedical Applications (ePUB)

vibrational spectroscopic imaging for biomedical applications srinivasan gokulakrishnan

Another cell showed further shrinkage of the nucleus with fragmentation which is typical for apoptosis. As described below, these advances will make it possible to take time-resolved data on biological samples in vivo in the near future. These distributions are used, first, to predict the classification error associated with each metric by evaluating the area of overlap for each To w a r d A u t o m a t e d B r e a s t H i s t o p a t h o l o g y a b c 0. This book covers the fundamental basis of the optical and image processing techniques by integrating contributions from both optical and digital research communities to solve current application bottlenecks, and give rise to new applications and solutions. Evanescent Wave Imaging-- Chapter 5. Sample Preparation of Cells and Tissue 44. Further, the average optical path length through the sample is 13.

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Vibrational Spectroscopic Imaging For Biomedical Applications

vibrational spectroscopic imaging for biomedical applications srinivasan gokulakrishnan

This chapter also presents results on microscopic stress analysis of ceramic biomaterials as collected by Raman microspectroscopy on the bearing surfaces of artificial hip joints. Finally, experimental considerations and sample condition can affect spatial resolution. The preliminary study presented here provides evidence that breast tissue spectral images segmented into stromal and epithelial classes can be useful for tumor discrimination by the evaluation of spatial information and epithelium content. Color codes for both panels: lid blue , base green , diamond yellow coated silicon wafers gray , spacer red , seals purple , water tube cyan , and screws gray fastening the lid to the base. In this study, different approaches were used to prepare cells for transflection and transmission mode analysis: For transmission mode, live cells in growth medium were placed into a 6-Ξm pathlength CaF2 liquid cell.

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