Journal articles: 'Spectroscopic imaging'

1

Simon, G. T. "Electron Spectroscopic Imaging." Ultrastructural Pathology 11, no. 5-6 (January 1987): 705–10. http://dx.doi.org/10.3109/01913128709048457.

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Jansen, J., and B. Blümich. "Stochastic spectroscopic imaging." Journal of Magnetic Resonance (1969) 99, no. 3 (October 1992): 525–32. http://dx.doi.org/10.1016/0022-2364(92)90207-n.

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Meininger, M., P. M. Jakob, M. von Kienlin, D. Koppler, G. Bringmann, and A. Haase. "Radial Spectroscopic Imaging." Journal of Magnetic Resonance 125, no. 2 (April 1997): 325–31. http://dx.doi.org/10.1006/jmre.1997.1124.

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Haase, Axel, and Dieter Matthaei. "Spectroscopic FLASH NMR imaging (SPLASH imaging)." Journal of Magnetic Resonance (1969) 71, no. 3 (February 1987): 550–53. http://dx.doi.org/10.1016/0022-2364(87)90255-1.

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Ewing, Andrew V., and Sergei G. Kazarian. "Infrared spectroscopy and spectroscopic imaging in forensic science." Analyst 142, no. 2 (2017): 257–72. http://dx.doi.org/10.1039/c6an02244h.

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Pinet, P. C. "Spectroscopic Imaging of Solid Planetary Surfaces." International Astronomical Union Colloquium 149 (1995): 294–97. http://dx.doi.org/10.1017/s0252921100023186.

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Seen from Sirius through the eye of the telescope, our inner solar system would easily fit within one CCD-pixel. The purpose of the present paper is: i) to provide with a general overview of the use of imaging or 3D-spectroscopy for the study of the solid planetary surfaces, ii) to demonstrate that the analysis of 3D spectroscopic data on the basis of spectral mixture modelling permits to describe the subpixel spectral variability related to mineralogy of the planetary solid surfaces. In the following, a few cases are discussed concerning the remote sensing investigation in the UV-VIS-nIR domain of the lunar, terrestrial and martian surfaces, documented by means of multispectral or hyperspectral data, produced by telescopic, airborne or orbital imaging spectroscopic techniques.

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P. Engler, R. L. Barbour, J. H. Gibson, M. S. Hazle, D. G. Cameron, and R. H. Duff. "Imaging With Spectroscopic Data." Advances in X-ray Analysis 31 (1987): 69–75. http://dx.doi.org/10.1154/s0376030800021856.

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Spectroscopic data from a var iety of analyt ical techniques such as x-ray diffraction (XRD), infrared (IR) and Raman spectroscopies, secondary ion mass spectrometry (SIMS) and energy dispersive X-ray analysis (EDX) can be obtained from small areas of samples (< 1 mm2) through the use of microscope sampling accessories. If provisions are made to scan or translate the sample, then a spectrum that is characteristic of each region of interest can be obtained. Alternatively, selective area detectors eliminate the requirement for scanning the sample. Extract ion of information about a specific energy band from each spectrum allows elucidat ion of the spatial distribution of the feature giving rise to that band. For example, the distribution of a compound could be imaged by extracting the intensity of an IR band or XRD peak due to that compound. Peak posit ion and peak width are other parameters that can be extracted as a function of posit ion. Similarly, elemental distributions could be obtained using SIMS and EDX.

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Marcott, Curtis, and Robert C. Reeder. "Infrared spectroscopic chemical imaging." Proceedings, annual meeting, Electron Microscopy Society of America 54 (August 11, 1996): 260–61. http://dx.doi.org/10.1017/s0424820100163769.

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Infrared (IR) spectroscopy is a powerful, widely used technique for identifying materials or chemical compounds. An IR spectrum often provides a specific fingerprint for a given molecular component or species. IR frequencies, intensities, and line widths are also extremely sensitive to environmental perturbations and changes in molecular structure. Infrared spectroscopic images recorded through a Fourier transform infrared (FT-IR) microscope attachment have traditionally been constructed by translating a mapping stage a single pixel at a time through the sample area of interest; this is a very tedious and time-consuming procedure. Recently, a technique for rapidly performing high-fidelity FT-IR imaging spectroscopy using an indium antimonide (InSb) focal-plane array (FPA) detector coupled to an IR microscope and a step-scanning FT-IR spectrometer has been developed. These multichannel IR detectors were originally developed for thermal-imaging applications (mainly in the military), but they have tremendous potential as chemical imaging detectors when used as part of a spectrometer. The multiple detector elements enable images from all pixels to be collected simultaneously for each mirror retardation position of the interferometer. Use of an interferometer allows the entire IR spectrum over some wavelength range to be measured. The combination of a step-scanning FT-IR microscope and an InSb FPA detector provides unprecedented speed and image quality, limited only by the diffraction limit and/or the number of detector elements on the array.

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Botton, G. A., and M. W. Phaneuf. "Imaging, spectroscopy and spectroscopic imaging with an energy filtered field emission TEM." Micron 30, no. 2 (April 1999): 109–19. http://dx.doi.org/10.1016/s0968-4328(99)00014-1.

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Vohland, Michael, and András Jung. "Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences." Remote Sensing 12, no. 18 (September 11, 2020): 2962. http://dx.doi.org/10.3390/rs12182962.

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Kim, Daesuk, Vamara Dembele, Sukhyun Choi, Gukhyeon Hwang, Saeid Kheiryzadehkhanghah, Chulmin Joo, and Robert Magnusson. "Dynamic spectroscopic imaging ellipsometry." Optics Letters 47, no. 5 (February 22, 2022): 1129. http://dx.doi.org/10.1364/ol.451064.

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12

Nelson, S. J. "Magnetic resonance spectroscopic imaging." IEEE Engineering in Medicine and Biology Magazine 23, no. 5 (September 2004): 30–39. http://dx.doi.org/10.1109/memb.2004.1360406.

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Skoch, Antonin, Filip Jiru, and Jürgen Bunke. "Spectroscopic imaging: Basic principles." European Journal of Radiology 67, no. 2 (August 2008): 230–39. http://dx.doi.org/10.1016/j.ejrad.2008.03.003.

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Mulkern, Robert V., and Lawrence P. Panych. "Echo planar spectroscopic imaging." Concepts in Magnetic Resonance 13, no. 4 (2001): 213–37. http://dx.doi.org/10.1002/cmr.1011.

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Dydak, Ulrike, Markus Weiger, Klaas P. Pruessmann, Dieter Meier, and Peter Boesiger. "Sensitivity-encoded spectroscopic imaging." Magnetic Resonance in Medicine 46, no. 4 (October 2001): 713–22. http://dx.doi.org/10.1002/mrm.1250.

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Schirda, Claudiu V., Costin Tanase, and Fernando E. Boada. "Rosette spectroscopic imaging: Optimal parameters for alias-free, high sensitivity spectroscopic imaging." Journal of Magnetic Resonance Imaging 29, no. 6 (June 2009): 1375–85. http://dx.doi.org/10.1002/jmri.21760.

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17

Kolomiets, O., U. Hoffmann, P. Geladi, and H. W. Siesler. "Quantitative Determination of Pharmaceutical Drug Formulations by Near-Infrared Spectroscopic Imaging." Applied Spectroscopy 62, no. 11 (November 2008): 1200–1208. http://dx.doi.org/10.1366/000370208786401590.

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Over the last decade Fourier transform infrared (FT-IR) and near-infrared (NIR) spectroscopic imaging with focal plane array (FPA) detectors have proved powerful techniques for the rapid visualization of samples by a combination of spectroscopic and spatial information. Using these methods, selected sample areas can be analyzed with reference to the identification and localization of chemical species by FT-IR spectroscopy in the transmission or attenuated total reflection (ATR) mode and by NIR spectroscopy in diffuse reflection with a lateral resolution in the micrometer range. The present communication focuses on the quantitative determination of the active ingredient composition of a solid drug formulation by NIR spectroscopic imaging with a focal plane array detector and the results obtained are compared to the quantitative data obtained by conservative light-fiber NIR spectroscopic diffuse reflection measurements with a single-element detector. The communication also addresses the issue of penetration depth of NIR radiation into the investigated solid material.

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Puc, Uroš, Andreja Abina, Anton Jeglič, Aleksander Zidanšek, Irmantas Kašalynas, Rimvydas Venckevičius, and Gintaras Valušis. "Spectroscopic Analysis of Melatonin in the Terahertz Frequency Range." Sensors 18, no. 12 (November 23, 2018): 4098. http://dx.doi.org/10.3390/s18124098.

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There is a need for fast and reliable quality and authenticity control tools of pharmaceutical ingredients. Among others, hormone containing drugs and foods are subject to scrutiny. In this study, terahertz (THz) spectroscopy and THz imaging are applied for the first time to analyze melatonin and its pharmaceutical product Circadin. Melatonin is a hormone found naturally in the human body, which is responsible for the regulation of sleep-wake cycles. In the THz frequency region between 1.5 THz and 4.5 THz, characteristic melatonin spectral features at 3.21 THz, and a weaker one at 4.20 THz, are observed allowing for a quantitative analysis within the final products. Spectroscopic THz imaging of different concentrations of Circadin and melatonin as an active pharmaceutical ingredient in prepared pellets is also performed, which permits spatial recognition of these different substances. These results indicate that THz spectroscopy and imaging can be an indispensable tool, complementing Raman and Fourier transform infrared spectroscopies, in order to provide quality control of dietary supplements and other pharmaceutical products.

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Maíz Apellániz, J., R. H. Barbá, S. Simón-Díaz, A. Sota, E. Trigueros Páez, J. A. Caballero, and E. J. Alfaro. "Lucky Spectroscopy, an equivalent technique to Lucky Imaging." Astronomy & Astrophysics 615 (July 2018): A161. http://dx.doi.org/10.1051/0004-6361/201832885.

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Context. Many massive stars have nearby companions whose presence hamper their characterization through spectroscopy. Aims. We want to obtain spatially resolved spectroscopy of close massive visual binaries to derive their spectral types. Methods. We obtained a large number of short long-slit spectroscopic exposures of five close binaries under good seeing conditions. We selected those with the best characteristics, extracted the spectra using multiple-profile fitting, and combined the results to derive spatially separated spectra. Results. We demonstrate the usefulness of Lucky Spectroscopy by presenting the spatially resolved spectra of the components of each system, in two cases with separations of only ~0.′′3. Those are δ Ori Aa+Ab (resolved in the optical for the first time) and σ Ori AaAb+B (first time ever resolved). We also spatially resolve 15 Mon AaAb+B, ζ Ori AaAb+B (both previously resolved with GOSSS, the Galactic O-Star Spectroscopic Survey), and η Ori AaAb+B, a system with two spectroscopic B+B binaries and a fifth visual component. The systems have in common that they are composed of an inner pair of slow rotators orbited by one or more fast rotators, a characteristic that could have consequences for the theories of massive star formation.

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Twieg, D. B., D. J. Meyerhoff, B. Hubesch, K. Roth, D. Sappey-Marinier, M. D. Boska, J. R. Gober, S. Schaefer, and M. W. Weiner. "Phosphorus-31 magnetic resonance spectroscopy in humans by spectroscopic imaging: Localized spectroscopy and metabolite imaging." Magnetic Resonance in Medicine 12, no. 3 (December 1989): 291–305. http://dx.doi.org/10.1002/mrm.1910120302.

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Meyerhoff, D. J. "Spectroscopic imaging of human disease." Proceedings, annual meeting, Electron Microscopy Society of America 54 (August 11, 1996): 884–85. http://dx.doi.org/10.1017/s0424820100166889.

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Magnetic Resonance Imaging (MRI) observes tissue water in the presence of a magnetic field gradient to study morphological changes such as tissue volume loss and signal hyperintensities in human disease. These changes are mostly non-specific and do not appear to be correlated with the range of severity of a certain disease. In contrast, Magnetic Resonance Spectroscopy (MRS), which measures many different chemicals and tissue metabolites in the millimolar concentration range in the absence of a magnetic field gradient, has been shown to reveal characteristic metabolite patterns which are often correlated with the severity of a disease. In-vivo MRS studies are performed on widely available MRI scanners without any “sample preparation” or invasive procedures and are therefore widely used in clinical research. Hydrogen (H) MRS and MR Spectroscopic Imaging (MRSI, conceptionally a combination of MRI and MRS) measure N-acetylaspartate (a putative marker of neurons), creatine-containing metabolites (involved in energy processes in the cell), choline-containing metabolites (involved in membrane metabolism and, possibly, inflammatory processes),

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Nelson, Matthew P., Wendy C. Bell, Michael L. McLester, and M. L. Myrick. "Single-Shot Multiwavelength Imaging of Laser Plumes." Applied Spectroscopy 52, no. 2 (February 1998): 179–86. http://dx.doi.org/10.1366/0003702981943383.

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A novel optical approach to single-shot chemical imaging with high spectroscopic resolution is described with the use of a prototype dimension-reduction fiber-optic array. Images are focused onto a 30 × 20 array of hexagonally packed 250 μm o.d. f/2 optical fibers that are drawn into a 600 × 1 distal array with specific ordering. The 600 × 1 side of the array is imaged with an f/2 spectrograph equipped with a holographic grating and a charge-coupled device (CCD) camera for spectral analysis. Software is used to extract the spatial/spectral information contained in the CCD images and de-convolute them into wavelength-specific reconstructed images or position-specific spectra that span a 190 nm wavelength space. “White light” zero-order images and first-order spectroscopic images of laser plumes have been reconstructed to illustrate proof-of-principle. Index Headings: Fiber optics; Chemical imaging; Spectroscopic imaging; Charged-coupled device (CCD); Laser-induced breakdown spectroscopy (LIBS).

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Yin, Hong-Run, Ming Ye, Yang Wu, Kai Liu, Hua-Ping Pan, and Jia-Feng Yao. "Biological tissue detection based on electrical impedance spectroscopic tomograsphy." Acta Physica Sinica 71, no. 4 (2022): 048706. http://dx.doi.org/10.7498/aps.71.20211600.

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A bioimpedance spectroscopic imaging method for detecting the biological tissue based on electrical impedance tomography (EIT) and bioimpedance spectroscopy (BIS) is proposed. This method visualizes the target area and accurately recognizes the target type, which can be used for detecting the early lung cancer, assist clinicians in accurately detecting the early lung cancer, and improving the cure rate of early lung cancer. In this paper the bioimpedance spectroscopic imaging method is verified to be feasible and effective in detecting the early lung cancer through numerical simulation. The simulation results show that 1) the bioimpedance spectroscopic imaging method can realize the visualization of the early lung cancer area and accurately distinguish the type of early lung cancer, and 2) the optimal number of acquisitions of impedance spectroscopy is 4, and the best classifier is Linear-SVM, and the average classification accuracy of 5-fold cross-validation can reach 99.9%. In order to verify the simulation results, three biological tissues with different electrical characteristics are selected to simulate cancerous regions used for detection. The experimental results show that the method can visualize the biological tissue area and distinguish the type of biological tissue. This method can integrate the advantages of electrical impedance imaging and bioimpedance spectroscopy, and is very promising way of detecting early lung cancer.

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Lu, Yuzhen, and Renfu Lu. "Non-Destructive Defect Detection of Apples by Spectroscopic and Imaging Technologies: A Review." Transactions of the ASABE 60, no. 5 (2017): 1765–90. http://dx.doi.org/10.13031/trans.12431.

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Abstract. Apples are susceptible to a wide range of defects that can occur in the orchard and during the post-harvest period. Detection of these defects by non-destructive sensing techniques is of great importance for the apple industry and has been an intensive research topic over the past two decades. This review presents an overview of common defects in apples, encompassing physiological disorders, mechanical damage, pathological disorders, and contamination. Presented and discussed in this review is research progress on the detection of defects in apples using various non-destructive spectroscopic and imaging techniques, including visible/near-infrared spectroscopy, fluorescence spectroscopy and imaging, monochromatic and color imaging, hyperspectral and multispectral imaging, x-ray imaging, magnetic resonance imaging, thermal imaging, time-resolved and spatially resolved spectroscopy, Raman spectroscopy, biospeckle imaging, and structured-illumination reflectance imaging. This review concludes with remarks on the prospects of these techniques and research needs in the future. Keywords: Apples, Defects, Imaging, Non-destructive detection, Quality, Safety, Spectroscopy.

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Lewis, Lori, Peter Troost, Donald Lavery, and Koichi Nishikida. "Pharmaceutical Polymorphism Studies by Infrared Spectroscopic Imaging." Microscopy and Microanalysis 7, S2 (August 2001): 158–59. http://dx.doi.org/10.1017/s1431927600026866.

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Many drugs are known to crystallize in different polymorphic forms or as solvates. Solubility, melting point, density, hardness, optical properties, vapor pressure, and a host of other physical properties may all vary with polymorphic form. Not only do the various crystal structures of a given pharmaceutical compound affect the efficacy of the drug, but they may also carry enormous legal implications. Much product revenue can depend upon the identification and patent protection of certain polymorphic forms. Thus, the control of crystallization is a very important process parameter, and techniques such as X-ray crystallography, infrared spectroscopy, Raman spectroscopy, and polarized light microscopy are routinely used in the characterization of crystalline drugs.This presentation will involve the investigation of a variety of pharmaceutical polycrystalline films using infrared (IR) spectroscopic imaging. Preliminary data was collected using a conventional FT-IR microscope with visible polarized light capabilities. Correlating data was then collected using a commercially available IR imaging microscope.

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Neil Lewis, E., Abigail S. Haka, Pina Colarusso, Ira W. Levin, John Gillespie, and Linda H. Kidder. "Evaluation Of Diseased State In Human Tissue Sections Using Infrared And Raman Imaging Microspectroscopy." Microscopy and Microanalysis 5, S2 (August 1999): 60–61. http://dx.doi.org/10.1017/s1431927600013623.

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Optical microscopy has been the workhorse pathological technique, qualitatively differentiating tissue sections by characterizing morphological variations. Vibrational spectroscopic techniques provide quantitative as well as qualitative analytical information that reflects a sample’s biochemical composition and molecular structure. The utility of infrared and Raman techniques for biological characterization has been demonstrated for a variety of applications.[1-4]FTIR imaging microscopy is a newly developed technique that incorporates the imaging capabilities required for histological procedures with the chemical discrimination of IR spectroscopy.[5-7] The ability to maintain spatial integrity while accessing precise spectroscopic data intrinsic to the sample represents a powerful combination. This technique is much more amenable to analysis by a pathologist than conventional spectroscopy because the data can be presented as images. These images provide direct visualization of a sample’s biochemical heterogeneity.Vibrational spectroscopic imaging techniques provide excellent sample statistics for the accurate classification of individual spectral signatures because tens of thousands of independent spectra from different spatial locations within the sample are simultaneously recorded.

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Stadler, Johannes, Thomas Schmid, Lothar Opilik, Phillip Kuhn, Petra S. Dittrich, and Renato Zenobi. "Tip-enhanced Raman spectroscopic imaging of patterned thiol monolayers." Beilstein Journal of Nanotechnology 2 (August 30, 2011): 509–15. http://dx.doi.org/10.3762/bjnano.2.55.

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Full spectroscopic imaging by means of tip-enhanced Raman spectroscopy (TERS) was used to measure the distribution of two isomeric thiols (2-mercaptopyridine (2-PySH) and 4-mercaptopyridine (4-PySH)) in a self-assembled monolayer (SAM) on a gold surface. From a patterned sample created by microcontact printing, an image with full spectral information in every pixel was acquired. The spectroscopic data is in good agreement with the expected molecular distribution on the sample surface due to the microcontact printing process. Using specific marker bands at 1000 cm−1 for 2-PySH and 1100 cm−1 for 4-PySH, both isomers could be localized on the surface and semi-quantitative information was deduced from the band intensities. Even though nanometer size resolution information was not required, the large signal enhancement of TERS was employed here to detect a monolayer coverage of weakly scattering analytes that were not detectable with normal Raman spectroscopy, emphasizing the usefulness of TERS.

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YAMAZAKI, Ryo, Mikiya KATO, Kosuke MURATE, Kazuki IMAYAMA, and Kodo KAWASE. "Spectroscopic Imaging Using Terahertz Waves." Journal of the Japan Society of Colour Material 88, no. 12 (2015): 428–33. http://dx.doi.org/10.4011/shikizai.88.428.

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Reddy, Rohith K., Michael J. Walsh, Matthew V. Schulmerich, P. Scott Carney, and Rohit Bhargava. "High-Definition Infrared Spectroscopic Imaging." Applied Spectroscopy 67, no. 1 (January 2013): 93–105. http://dx.doi.org/10.1366/11-06568.

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Pennycook, Stephen J., and Christian Colliex. "Spectroscopic imaging in electron microscopy." MRS Bulletin 37, no. 1 (January 2012): 13–18. http://dx.doi.org/10.1557/mrs.2011.332.

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Adams, Freddy. "Spectroscopic imaging: a spatial Odyssey." J. Anal. At. Spectrom. 29, no. 7 (2014): 1197–205. http://dx.doi.org/10.1039/c4ja00050a.

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Analytical methods were developed or refined to link the composition and structure of man-made and natural materials down to the nanoscale dimensions to their functional behaviour at the macroscopic scale.

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Treado, Patrick J., and Michael D. Morris. "Infrared and Raman Spectroscopic Imaging." Applied Spectroscopy Reviews 29, no. 1 (February 1994): 1–38. http://dx.doi.org/10.1080/05704929408000896.

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Rühle, M., J. Mayer, J. C. H. Spence, J. Bihr, W. Probst, and E. Weimer. "Electron spectroscopic imaging and diffraction." Proceedings, annual meeting, Electron Microscopy Society of America 49 (August 1991): 706–7. http://dx.doi.org/10.1017/s0424820100087847.

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A new Zeiss TEM with an imaging Omega filter is a fully digitized, side-entry, 120 kV TEM/STEM instrument for materials science. The machine possesses an Omega magnetic imaging energy filter (see Fig. 1) placed between the third and fourth projector lens. Lanio designed the filter and a prototype was built at the Fritz-Haber-Institut in Berlin, Germany. The imaging magnetic filter allows energy-filtered images or diffraction patterns to be recorded without scanning using efficient area detection. The energy dispersion at the exit slit (Fig. 1) results in ∼ 1.5 μm/eV which allows imaging with energy windows of ≤ 10 eV. The smallest probe size of the microscope is 1.6 nm and the Koehler illumination system is used for the first time in a TEM. Serial recording of EELS spectra with a resolution < 1 eV is possible. The digital control allows X,Y,Z coordinates and tilt settings to be stored and later recalled.

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Jian, Xiaohua, Yaoyao Cui, Yongjia Xiang, Zhile Han, Tianming Gu, and Tiejun Lv. "Adaptive optics photoacoustic spectroscopic imaging." Optics Communications 286 (January 2013): 383–86. http://dx.doi.org/10.1016/j.optcom.2012.08.052.

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Yakovlev, S., S. Shi, M. Misra, and M. Libera. "Spectroscopic Imaging of Soft Materials." Microscopy and Microanalysis 14, S2 (August 2008): 690–91. http://dx.doi.org/10.1017/s1431927608085036.

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Moore, David J. "Infrared spectroscopic imaging of skin." Journal of the American Academy of Dermatology 50, no. 3 (March 2004): P32. http://dx.doi.org/10.1016/j.jaad.2003.10.133.

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Goelman, Gadi, V. Harihara Subramanian, and John S. Leigh. "Transverse Hadamard spectroscopic imaging technique." Journal of Magnetic Resonance (1969) 89, no. 3 (October 1990): 437–54. http://dx.doi.org/10.1016/0022-2364(90)90327-6.

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Sijens, P. E., and M. D. Dorrius. "Spectroscopic Imaging of Breast Cancer." Imaging Decisions MRI 13, no. 3-4 (September 2009): 122–25. http://dx.doi.org/10.1111/j.1617-0830.2009.01135.x.

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Funke, S., B. Miller, E. Parzinger, P. Thiesen, A. W. Holleitner, and U. Wurstbauer. "Imaging spectroscopic ellipsometry of MoS2." Journal of Physics: Condensed Matter 28, no. 38 (July 27, 2016): 385301. http://dx.doi.org/10.1088/0953-8984/28/38/385301.

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Bazett-Jones, D. P., L. Locklear, and J. B. Rattner. "Electron spectroscopic imaging of DNA." Journal of Ultrastructure and Molecular Structure Research 99, no. 1 (April 1988): 48–58. http://dx.doi.org/10.1016/0889-1605(88)90032-8.

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Maudsley, A. A., E. Lin, and M. W. Weiner. "Spectroscopic imaging display and analysis." Magnetic Resonance Imaging 10, no. 3 (January 1992): 471–85. http://dx.doi.org/10.1016/0730-725x(92)90520-a.

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Bito, Yoshitaka, Satoshi Hirata, Takayuki Nabeshima, and Etsuji Yamamoto. "Echo-Planar Diffusion Spectroscopic Imaging." Magnetic Resonance in Medicine 33, no. 1 (January 1995): 69–73. http://dx.doi.org/10.1002/mrm.1910330110.

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Spielman, Daniel, Peter Webb, and Albert Macovski. "Water referencing for spectroscopic imaging." Magnetic Resonance in Medicine 12, no. 1 (October 1989): 38–49. http://dx.doi.org/10.1002/mrm.1910120105.

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Bazett-Jones, David P., and Michael J. Hendzel. "Electron Spectroscopic Imaging of Chromatin." Methods 17, no. 2 (February 1999): 188–200. http://dx.doi.org/10.1006/meth.1998.0729.

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Goelman, G. "Fast Hadamard Spectroscopic Imaging Techniques." Journal of Magnetic Resonance, Series B 104, no. 3 (July 1994): 212–18. http://dx.doi.org/10.1006/jmrb.1994.1078.

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O'Donnell, K. P., C. Trager Cowan, S. Pereira, A. Bangura, C. Young, M. E. White, and M. J. Tobin. "Spectroscopic Imaging of InGaN Epilayers." physica status solidi (b) 216, no. 1 (November 1999): 157–61. http://dx.doi.org/10.1002/(sici)1521-3951(199911)216:1<157::aid-pssb157>3.0.co;2-k.

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Yau, S. T., J. N. Barisci, and G. M. Spinks. "Tunneling spectroscopy and spectroscopic imaging of granular metallicity of polyaniline." Applied Physics Letters 74, no. 5 (February 1999): 667–69. http://dx.doi.org/10.1063/1.122981.

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Weis, Jan, and Anders Hemmingsson. "Spectroscopy of large volumes: Spectroscopic imaging of total body fat." Magnetic Resonance Imaging 19, no. 9 (November 2001): 1239–43. http://dx.doi.org/10.1016/s0730-725x(01)00454-4.

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Palukuru, Uday P., Arash Hanifi, Cushla M. McGoverin, Sean Devlin, Peter I. Lelkes, and Nancy Pleshko. "Near infrared spectroscopic imaging assessment of cartilage composition: Validation with mid infrared imaging spectroscopy." Analytica Chimica Acta 926 (July 2016): 79–87. http://dx.doi.org/10.1016/j.aca.2016.04.031.

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Lewis, E. N., L. H. Kidder, and I. W. Levin. "High Spatial and High Spectral Resolution FTIR Spectroscopic Imaging of Biological Materials." Microscopy and Microanalysis 3, S2 (August 1997): 831–32. http://dx.doi.org/10.1017/s1431927600011041.

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Infrared spectroscopy has been used to probe a variety of biological systems including for example, the determination of diseased states and the investigation of foreign inclusions in biologicals. The technique generates qualitative and quantitative information on the structure and dynamics of samples, including lipids, proteins, and non-biological constituents. The coupling of imaging modalities with spectroscopic techniques adds a new dimension to sample analysis in both the spectroscopic and spatial domains. Using a spectroscopic imaging system that incorporates a step-scan interferometer, microscope, and infrared sensitive arrays, we have investigated a variety of biological samples. This seamless combination of spectroscopy for molecular analysis with the power of visualization generates chemically specific images while simultaneously obtaining high resolution spectra for each detector pixel. The spatial resolution of the images approaches the diffraction limit for mid-infrared wavelengths, while the spectral resolution is determined by the interferometer and can be 4 cm−1 or higher.

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Journal articles on the topic 'Spectroscopic imaging'

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