Relevant bibliographies by topics / Spectroscopic imaging

Academic literature on the topic 'Spectroscopic imaging'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 September 2024

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Journal articles on the topic "Spectroscopic imaging"

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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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Dissertations / Theses on the topic "Spectroscopic imaging"

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Davidson, David William. "Imaging and spectroscopic radiation detectors." Thesis, University of Glasgow, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.404443.

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Woods, Stephan M. "VIBRATIONAL SPECTROSCOPY AND SPECTROSCOPIC IMAGING OF BIOLOGICAL CELLS AND TISSUE." Kent State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=kent1322540287.

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Bao, Sumi. "Clinically relevant magnetic resonance imaging and spectroscopic imaging development." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/9133.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Nuclear Engineering, 1999.
Includes bibliographical references (p. 129-137).
As one result of this thesis, a single slab 3D fast spin echo imaging (3DFSE) method has been implemented and optimized. This involved sequence design and implementation, SAR considerations, parameter adjustments and clinical testing. The method can deliver 3D Tl or T2 weighted brain image with isotropic Imm3 voxel resolution in approximately 10 minutes. The ability to obtain high spatial resolution in reasonable time periods has wide clinical applications such as improvement of treatment planning protocols for brain tumor patients, precise radiotherapy planning, and tissue segmentation for following the progression of diseases like multiple sclerosis. The other part of this thesis is devoted to developing and implementing spectroscopic imaging methods, which include 20 chemical shift imaging(2DCSI) methods, 20 line scan spectroscopic imaging(2D LSSI) methods, spin echo planar spectroscopic imaging(SEPSI) methods and ~ingle shot line scan spin echo planar spectroscopic imaging(SSLSEPSI) method. The former two methods are applied to oil phantoms and bone marrow studies. The SEPSI method can provide simultaneous spectroscopic measurements, R2 and R2' images and field distribution images. A time domain spectral analysis method, LP-HSVD was implemented and applied to spectroscopic imaging studies. The SEPSI method was applied to get lipid characterization of bone marrow as well as to get the R2 and R2' brain images. The SSLSEPSI method can provide instant line spectroscopic imaging which might be useful to image moving objects and can provide high temporal resolution for dynamic studies. With further development, both SEPSI and SSLSEPSI methods may prove useful for trabecular bone studies as well as functional magnetic resonance imaging( tMRI) studies.
by Sumi Bao.
Ph.D.
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Paul, Provakar. "Multipoint spectroscopic analyzing & imaging method." Thesis, Högskolan i Gävle, Avdelningen för elektronik, matematik och naturvetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-15274.

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Spectroscopy is a technique as the interaction of different radiation spectrum with matter to analysis of a sample. This thesis work proposed two methods are multiple pointes spectroscopies analyzing then imaging detection methods for solid samples. Developed method one is using Ultraviolet (UV), Visible (Vis) and Infrared (IR) detection. Where detection was assembled with deuterium as well tungsten-halogen lamp source (which were able to generate 175 nm to 3300 nm wavelength), a manual X-Y stepper for scan an inhomogeneous biological sample, optical design beside Indium gallium arsenide (InGaAs) detection unit was used of Lamda 950 by PerkingElmer. Second improved methodology is Vis detection imaging of samples. In Vis detection imaging was constructed with Helium-Neon (HeNe) red laser as a source (able to generate 632.8 nm wavelengths), a silicon pin photodiode detector, lens, multimeter, X-Y positioner stepper motors to scan samples. The work show successfully detected and imaged of water, fresh leaf, brain phantom in addition 3mm horizontal and 1.5 mm vertical cooper line. The thesis works proposed methods has obtained accurate results of all the samples detection specifically has devised imaging of samples. This spectroscopic process is suitable for any type of liquid, solid also gas detecting moreover imaging approach can be applicable in any type of inhomogeneous matter.
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Lau, Condon. "Detecting cervical dysplasia with quantitative spectroscopic imaging." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/106718.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2009.
Includes bibliographical references.
This thesis extends quantitative spectroscopy, a form of model-based reflectance and fluorescence spectroscopy, from a small area, contact-probe implementation to wide-area quantitative spectroscopic imaging (QSI) for complete coverage of at-risk tissue. QSI uses the scanning virtual probe concept that is critical for model-based spectroscopy and offers spatial resolution advantages over conventional wide-field illumination. We develop a QSI system capable of imaging cervical dysplasia in vivo. Using the QSI system, we conduct a clinical study to train and prospectively evaluate QSI's ability to distinguish high-grade squamous intraepithelial lesions (HSIL) from non-HSILs (less severe conditions) in cervical transformation zone. This is a clinically important distinction because HSIL requires treatment. The results show measuring the per-patient normalized reduced scattering coefficient alone accurately performs the distinction. This is in good agreement with our previous contact-probe study of HSIL. Due to improved accuracy, QSI used as an adjunct to colposcopy can potentially reduce the number of unnecessary biopsies over colposcopy alone. The results also suggest a simplified optical instrument can be used to detect HSIL and this may advance cervical dysplasia detection in developing countries, where cervical cancer mortality is highest.
by Condon Lau.
Ph.D.
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Meng, Jiqun J. "Line scan proton magnetic resonance spectroscopic imaging." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/36963.

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Forsyth, Robert J. "Spectroscopic and imaging studies of nightglow variations." Thesis, University of Aberdeen, 1989. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU020230.

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A survey of the literature on the techniques used in and the results obtained from studies of nightglow variability is presented. Three microprocessor controlled instruments (an eight channel tilting filter spectrometer, an earlier six channel version and a CCD based low light level camera) have been constructed with the aim of studying variations in the nightglow, especially of the type associated with the passage of gravity waves through the emitting layers. The final stages of development of the eight channel spectrometer are described, including the design of automatic dark count and reference light systems, a temperature control system for the filters and an interface for transferring the spectrometer data into a computer. Calibration experiments to determine the wavelength, line shape and intensity response of this spectrometer are described. The development of suites of computer programmes for analysing the data from both spectrometers and the camera is then discussed. For the spectrometers, these perform the functions of subtraction of dark count, reduction of the calibration data to a form suitable for use in the analysis of data spectra in terms of a set of line shapes and continuum response functions, and execution of this analysis to produce plots of the emission intensities and OH rotational temperature versus time. For the camera, software was produced to allow separation of stellar images from the airglow emission; stellar image intensities were analysed in an attempt to characterise atmospheric absorption. Software was also written to correct airglow intensities for absorption and the van Rhijn effect and finally to reproject the images in the form of a map of the emitting layer. Observations made with the instruments working separately and in conjunction are described and the results are presented as an example of the performance of the instruments and the software.
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Li, Zhenghong. "The role of the counter rotating terms in spontaneous emission and the time evolution of lamb shift." HKBU Institutional Repository, 2012. https://repository.hkbu.edu.hk/etd_ra/1419.

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Li, Jianping. "High-resolution UV-Vis-NIR fourier transform imaging spectroscopy and its applications in biology and chemistry." HKBU Institutional Repository, 2010. http://repository.hkbu.edu.hk/etd_ra/1151.

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Popa, Emil Horia. "Algorithms for handling arbitrary lineshape distortions in Magnetic Resonance Spectroscopy and Spectroscopic Imaging." Phd thesis, Université Claude Bernard - Lyon I, 2010. http://tel.archives-ouvertes.fr/tel-00716176.

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Magnetic Resonance Spectroscopy (MRS) and Spectroscopic Imaging (MRSI) play an emerging role in clinical assessment, providing in vivo estimation of disease markers while being non-invasive and applicable to a large range of tissues. However, static magnetic field inhomogeneity, as well as eddy currents in the acquisition hardware, cause important distortions in the lineshape of acquired NMR spectra, possibly inducing significant bias in the estimation of metabolite concentrations. In the post-acquisition stage, this is classically handled through the use of pre-processing methods to correct the dataset lineshape, or through the introduction of more complex analytical model functions. This thesis concentrates on handling arbitrary lineshape distortions in the case of quantitation methods that use a metabolite basis-set as prior knowledge. Current approaches are assessed, and a novel approach is proposed, based on adapting the basis-set lineshape to the measured signal.Assuming a common lineshape to all spectral components, a new method is derived and implemented, featuring time domain local regression (LOWESS) filtering. Validation is performed on synthetic signals as well as on in vitro phantom data. Finally, a completely new approach to MRS quantitation is proposed, centred on the use of the compact spectral support of the estimated common lineshape. The new metabolite estimators are tested alone, as well as coupled with the more common residual-sum-of-squares MLE estimator, significantly reducing quantitation bias for high signal-to-noise ratio data.
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Books on the topic "Spectroscopic imaging"

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Salzer, Reiner, and Heinz W. Siesler, eds. Infrared and Raman Spectroscopic Imaging. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2014. http://dx.doi.org/10.1002/9783527678136.

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1942-, Salzer Reiner, and Siesler H. W. 1943-, eds. Infrared and Raman spectroscopic imaging. Weinheim: Wiley-VCH, 2009.

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Srinivasan, Gokulakrishnan. Vibrational spectroscopic imaging for biomedical applications. New York: McGraw-Hill, 2010.

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1939-, Morris Michael D., ed. Microscopic and spectroscopic imaging of the chemical state. New York: M. Dekker, 1993.

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Druy, Mark A., Brown Christopher D, and Richard A. Crocombe. Next-generation spectroscopic technologies III: 5-6 April 2010, Orlando, Florida, United States. Edited by SPIE (Society). Bellingham, Wash: SPIE, 2010.

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Druy, Mark A., Brown Christopher D, and Richard A. Crocombe. Next-generation spectroscopic technologies III: 5-6 April 2010, Orlando, Florida, United States. Edited by SPIE (Society). Bellingham, Wash: SPIE, 2010.

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Md.) Next-Generation Spectroscopic Technologies (Conference) (5th 2013 Baltimore. Next-Generation Spectroscopic Technologies V: 23-24 April 2012, Baltimore, Maryland, United States. Edited by Druy Mark A, Crocombe Richard A, and SPIE (Society). Bellingham, Washington, USA: SPIE, 2012.

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S, Azar Fred, and Intes Xavier, eds. Translational multimodality optical imaging. Boston: Artech House, 2008.

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Inc, Strategic Business Development, ed. Spectroscopic diagnostics: A physician's guide. Kauai, Hawaii, U.S.A. (P.O. Box 1155 Hanalei, Kauai 96714): Strategic Business Development, 1991.

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L, Farkas Daniel, Nicolau Dan V, Leif Robert C, and Society of Photo-optical Instrumentation Engineers., eds. Imaging, manipulation, and analysis of biomolecules, cells, and tissues IV: 23-25 January 2006, San Jose, California, USA. Bellingham, Wash: SPIE, 2006.

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Book chapters on the topic "Spectroscopic imaging"

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Reimer, Ludwig. "Electron Spectroscopic Imaging." In Springer Series in Optical Sciences, 347–400. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-540-48995-5_7.

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Fraser-Miller, Sara J., Jukka Saarinen, and Clare J. Strachan. "Vibrational Spectroscopic Imaging." In Advances in Delivery Science and Technology, 523–89. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-4029-5_17.

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Diem, Max, Melisa J. Romeo, Susie Boydston-White, and Christian Matthäus. "IR Spectroscopic Imaging." In Spectrochemical Analysis Using Infrared Multichannel Detectors, 189–203. Oxford, UK: Blackwell Publishing Ltd, 2007. http://dx.doi.org/10.1002/9780470988541.ch9.

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Hattingen, Elke, and Ulrich Pilatus. "MR Spectroscopic Imaging." In Brain Tumor Imaging, 55–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/174_2014_1031.

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Eversberg, Thomas, and Klaus Vollmann. "Remarks About Dioptric Imaging Systems." In Spectroscopic Instrumentation, 85–154. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44535-8_3.

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Styles, P. "Rotating Frame Spectroscopy and Spectroscopic Imaging." In In-Vivo Magnetic Resonance Spectroscopy II: Localization and Spectral Editing, 45–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77208-5_2.

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Engler, P., R. L. Barbour, J. H. Gibson, M. S. Hazle, D. G. Cameron, and R. H. Duff. "Imaging with Spectroscopic Data." In Advances in X-Ray Analysis, 69–75. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-1035-8_7.

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Edkins, Stephen. "Spectroscopic-Imaging STM (SI-STM)." In Visualising the Charge and Cooper-Pair Density Waves in Cuprates, 23–49. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65975-6_2.

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Lainhart, Janet E., Jason Cooperrider, and June S. Taylor. "Spectroscopic Brain Imaging in Autism." In Imaging the Brain in Autism, 231–88. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6843-1_9.

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Pelletier, M. J., and C. C. Pelletier. "Spectroscopic Theory for Chemical Imaging." In Raman, Infrared, and Near-Infrared Chemical Imaging, 1–20. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9780470768150.ch1.

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Conference papers on the topic "Spectroscopic imaging"

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Fujioka, R., M. Suekuni, T. Montian, and Fumihiko Kannari. "Assessment of spectroscopic imaging with spectroscopic optical coherence tomography." In IC02, edited by Roger A. Lessard, George A. Lampropoulos, and Gregory W. Schinn. SPIE, 2003. http://dx.doi.org/10.1117/12.473819.

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Strong, Elizabeth F., Sean C. Coburn, Alexander Q. Anderson, Ryan K. Cole, Juliet T. Gopinath, Stephen Becker, and Gregory B. Rieker. "Broadband Spectroscopic Imaging Using Dual Frequency Comb Spectroscopy and Compressive Sensing." In CLEO: Applications and Technology. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/cleo_at.2022.atu5k.4.

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We merge the broadband, high resolution capabilities of dual frequency comb spectroscopy with a spatially resolving single pixel camera experimental architecture to demonstrate broadband spectroscopic imaging via compressive sensing.
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Duan, Tingyang, Hengrong Lan, Hongtao Zhong, Meng Zhou, Ruochong Zhang, and Fei Gao. "Optical spectroscopic ultrasound displacement imaging." In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2018. http://dx.doi.org/10.1109/embc.2018.8513136.

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He, Yu-Hang, Ai-Xin Zhang, Yi-Yi Huang, Wen-Kai Yu, Li-Ming Chen, and Ling-An Wu. "Spectroscopic X-Ray Ghost Imaging." In Conference on Lasers and Electro-Optics/Pacific Rim. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/cleopr.2020.c1g_4.

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Miller, Richard M., John J. Birmingham, Philip G. Cummins, and Scott Singleton. "Industrial applications of spectroscopic imaging." In GC Is - DL tentative, edited by M. Bonner Denton. SPIE, 1991. http://dx.doi.org/10.1117/12.50460.

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Demos, Stavros G., Regina Gandour-Edwards, Rajen Ramsamooj, and Ralph de Vere White. "Spectroscopic imaging of bladder cancer." In Biomedical Optics 2003, edited by Lawrence S. Bass, Nikiforos Kollias, Reza S. Malek, Abraham Katzir, Udayan K. Shah, Brian J. F. Wong, Eugene A. Trowers, et al. SPIE, 2003. http://dx.doi.org/10.1117/12.476382.

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Hartschuh, Ryan D., Andrey V. Malkovskiy, Carlos A. Barrios, Scott R. Hamilton, Alexander Kisliuk, John F. Maguire, Mark D. Foster, and Alexei P. Sokolov. "Spectroscopic imaging at the nanoscale." In Optics East 2007, edited by Christopher D. Brown, Mark A. Druy, and John P. Coates. SPIE, 2007. http://dx.doi.org/10.1117/12.734530.

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Yamaguchi, M., M. Wang, and P. Suarez. "THz phonon-polariton spectroscopic imaging." In Defense and Security Symposium, edited by Dwight L. Woolard, R. Jennifer Hwu, Mark J. Rosker, and James O. Jensen. SPIE, 2006. http://dx.doi.org/10.1117/12.668664.

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Bavdaz, Marcos, Didier D. E. Martin, and Anthony J. Peacock. "Spectroscopic capabilities of imaging GSPCs." In SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, edited by Oswald H. W. Siegmund and John V. Vallerga. SPIE, 1995. http://dx.doi.org/10.1117/12.218395.

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Haque, Showera, Radu Presura, Matthew Wallace, Padrick Beggs, Robert Heeter, James Heinmiller, and Isiah Pohl. "Broadband 2D Imaging Spectroscopic Diagnostic." In 63rd Annual Meeting of the APS Division of Plasma Physics - November 8-12, 2021 - Pittsburgh, Pennsylvania, USA. US DOE, 2021. http://dx.doi.org/10.2172/1829472.

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Reports on the topic "Spectroscopic imaging"

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Bhargava, Rohit. Infrared Spectroscopic Imaging for Prostate Pathology. Fort Belvoir, VA: Defense Technical Information Center, March 2008. http://dx.doi.org/10.21236/ada510089.

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Barker, Peter B. Proton MR Spectroscopic Imaging in NF-1. Fort Belvoir, VA: Defense Technical Information Center, July 2005. http://dx.doi.org/10.21236/ada443758.

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Ho, Wilson. Spectroscopic Imaging of Molecular Functions at Surfaces. Office of Scientific and Technical Information (OSTI), December 2018. http://dx.doi.org/10.2172/1485203.

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Bhargava, Rohit. Infrared Spectroscopic Imaging for Prostate Pathology Practice. Fort Belvoir, VA: Defense Technical Information Center, March 2009. http://dx.doi.org/10.21236/ada503971.

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Bhargava, Rohit. Infrared Spectroscopic Imaging for Prostate Pathology Practice. Fort Belvoir, VA: Defense Technical Information Center, March 2010. http://dx.doi.org/10.21236/ada548847.

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Bhargava, Rohit. Infrared Spectroscopic Imaging for Prostate Pathology Practice. Fort Belvoir, VA: Defense Technical Information Center, April 2011. http://dx.doi.org/10.21236/ada548863.

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MacDowell, A. A., T. Warwick, S. Anders, G. M. Lamble, M. C. Martin, W. R. McKinney, and H. A. Padmore. Imaging spectroscopic analysis at the Advanced Light Source. Office of Scientific and Technical Information (OSTI), May 1999. http://dx.doi.org/10.2172/751742.

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Thomas, Michael A. Echo-Planar Imaging Based J-Resolved Spectroscopic Imaging for Improved Metabolite Detection in Prostate Cancer. Fort Belvoir, VA: Defense Technical Information Center, October 2012. http://dx.doi.org/10.21236/ada567967.

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Thomas, Michael A. Echo-Planar Imaging Based J-Resolved Spectroscopic Imaging for Improved Metabolite Detection in Prostate Cancer. Fort Belvoir, VA: Defense Technical Information Center, October 2013. http://dx.doi.org/10.21236/ada594378.

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10

Karczmar, Gregory S. Improved MR Images of Breast Lesions with Fast Spectroscopic Imaging. Fort Belvoir, VA: Defense Technical Information Center, October 2001. http://dx.doi.org/10.21236/ada403614.

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