Relevant bibliographies by topics / Near infrared spectroscopy

Academic literature on the topic 'Near infrared spectroscopy'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Near infrared spectroscopy"

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Arboleda, Edwin R., Kimberly M. Parazo, and Christle M. Pareja. "Watermelon ripeness detector using near infrared spectroscopy." Jurnal Teknologi dan Sistem Komputer 8, no. 4 (October 20, 2020): 317–22. http://dx.doi.org/10.14710/jtsiskom.2020.13744.

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This study aimed to design and develop a watermelon ripeness detector using Near-Infrared Spectroscopy (NIRS). The research problem being solved in this study is developing a prototype wherein the watermelon ripeness can be detected without the need to open it. This detector will save customers from buying unripe watermelon and the farmers from harvesting an unripe watermelon. The researchers attempted to use the NIRS technique in determining the ripeness level of watermelon as it is widely used in the agricultural sector with high-speed analysis. The project was composed of Raspberry Pi Zero W as the microprocessor unit connected to input and output devices, such as the NIR spectral sensor and the OLED display. It was programmed by Python 3 IDLE. The detector scanned a total of 200 watermelon samples. These samples were grouped as 60 % for the training dataset, 20 % for testing, and another 20 % for evaluation. The data sets were collected and are subjected to the Support Vector Machine (SVM) algorithm. Overall, experimental results showed that the detector could correctly classify both unripe and ripe watermelons with 92.5 % accuracy.
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Owen-Reece, H., C. E. Elwell, P. Fallon, J. Goldstone, and M. Smith. "Near infrared oximetry and near infrared spectroscopy." Anaesthesia 49, no. 12 (December 1994): 1102–3. http://dx.doi.org/10.1111/j.1365-2044.1994.tb04380.x.

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Wyatt, John S. "Near Infrared Spectroscopy." Neonatology 62, no. 4 (1992): 290–94. http://dx.doi.org/10.1159/000243884.

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Jain, Virendra, and Hari Dash. "Near-infrared spectroscopy." Journal of Neuroanaesthesiology and Critical Care 02, no. 03 (December 2015): 221–24. http://dx.doi.org/10.4103/2348-0548.165045.

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AbstractTissue ischaemia can be a significant contributor to increased morbidity and mortality. Conventional oxygenation monitoring modalities measure systemic oxygenation, but regional tissue oxygenation is not monitored. Near-infrared spectroscopy (NIRS) is a non-invasive monitor for measuring regional oxygen saturation which provides real-time information. There has been increased interest in the clinical application of NIRS following numerous studies that show improved outcome in various clinical situations especially cardiac surgery. Its use has shown improved neurological outcome and decreased postoperative stay in cardiac surgery. Its usefulness has been investigated in various high risk surgeries such as carotid endarterectomy, thoracic surgeries, paediatric population and has shown promising results. There is however, limited data supporting its role in neurosurgical population. We strongly feel, it might play a key role in future. It has significant advantages over other neuromonitoring modalities, but more technological advances are needed before it can be used more widely into clinical practice.
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Prough, D. S. "Near-infrared spectroscopy." European Journal of Anaesthesiology 15, Supplement 17 (January 1998): 64–65. http://dx.doi.org/10.1097/00003643-199801001-00043.

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Argüelles-Delgado, Placido M., and Martin Dworschak. "Near-infrared spectroscopy." European Journal of Anaesthesiology 36, no. 6 (June 2019): 469. http://dx.doi.org/10.1097/eja.0000000000001006.

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Rhee, Peter, Lorrie Langdale, Charles Mock, and Larry M. Gentilello. "Near-infrared spectroscopy." Critical Care Medicine 25, no. 1 (January 1997): 166–70. http://dx.doi.org/10.1097/00003246-199701000-00030.

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Haynes, S. R. "Near infrared spectroscopy." Anaesthesia 49, no. 1 (January 1994): 75. http://dx.doi.org/10.1111/j.1365-2044.1994.tb03323.x.

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Harris, D. N. F. "Near infrared spectroscopy." Anaesthesia 49, no. 1 (January 1994): 75–76. http://dx.doi.org/10.1111/j.1365-2044.1994.tb03324.x.

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Williams, I. M., A. Picton, A. Mortimer, and C. N. McCollum. "Near infrared spectroscopy." Anaesthesia 49, no. 1 (January 1994): 76. http://dx.doi.org/10.1111/j.1365-2044.1994.tb03325.x.

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Dissertations / Theses on the topic "Near infrared spectroscopy"

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Summerfield, Stephen. "Near infrared fluorescence spectroscopy." Thesis, Loughborough University, 1993. https://dspace.lboro.ac.uk/2134/10601.

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Fluorimetry in the very near infrared region ca. 600-1000nm is a new approach to photochemical analysis. The advantages include greatly reduced background fluorescence signals from important sample matrices (such as blood serum), reduced scattering, and reduced probability of sample decomposition. Also, the availability of low cost, efficient, stable and robust optical components (e.g. laser diodes and light emitting diodes), solid state detectors (e.g. single silicon photodiodes and diode arrays) and fibre optics, allows the construction of an inexpensive fluorimeter. In the near infrared region, there are some very bright fluorophores that can be adapted for use as fluorescent probes, labels for immunoassay, and as ion-pair agents. The advantageous performance of most types of fluorimetric analysis now undertaken In the ultraviolet and visible region of the spectrum may therefore be extended into the longer wavelength region. Excellent limits of detection are attainable, and some near infrared fluorophores show invaluable fluorescence probe properties, such as Nile Red. The most useful of the dye groups investigated were the phenoxazines and thiazines. Reactive derivatives of these dyes show great potential as fluorescent labels for Immunoassay. These dyes have also been used as probes due to their solvatochromism and sensitivity to pH.
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Wruck, Eric Michael. "Applying near-infrared spectroscopy (nirs)." Texas A&M University, 2005. http://hdl.handle.net/1969.1/2386.

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Over recent decades, much has been learned about the perceptual capacity that enables infants to recognize and understand language. However, not until very recently have the neural mechanisms that are the substance of language learning been investigated. A recently developed optical imaging technique called near-infrared spectroscopy (NIRS) shows promise for being an acceptable alternative to invasive imaging techniques. NIRS measures correlates of neural activity by assessing hemoglobin concentration changes in the infant brain. The research presented here investigates neural activation in the left temporal and occipital cortex regions during exposure to speech and visual stimuli. As hypothesized, hemodynamic reaction was observed in both areas. Results indicate a significant activation in response to speech in the left temporal region, and an intriguing difference between uni- and bi-modally presented speech stimuli. These results have interesting implications for future multimodal studies of infant speech perception.
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Ennico, Kimberly Ann. "Near infrared faint object spectroscopy." Thesis, University of Cambridge, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.625052.

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Angus, Caroline. "Near infrared spectroscopy and exercise." Thesis, University of Essex, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274298.

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Prestwich, Andrea Heather. "Near infrared spectroscopy of galaxies." Thesis, Imperial College London, 1989. http://hdl.handle.net/10044/1/47622.

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Williams, David James. "Near infrared spectroscopy in cerebrovascular disease." Thesis, University of Bath, 2002. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.426180.

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Todd, Stephen Peter. "Near-infrared integral field spectroscopy with UIST." Thesis, University of Edinburgh, 2004. http://hdl.handle.net/1842/27542.

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UIST is a facility class near-infrared imager and spectrometer, built at the UK Astronomy Technology Centre (UKATC) in Edinburgh, and now in use at the UK Infrared Telescope (UKIRT). UIST operates at wavelengths of 1-5 μm, providing a variety of imaging and spectrometry modes. UIST is the first instrument to include a cryogenic deployable integral field unit (IFU), allowing integral field spectroscopy to be carried out over a 3.3 x 6.0 arcsec field of view using any of the grisms available for spectroscopy in UIST. The optical components of the image slicing IFU were tested and aligned on the bench before the IFU was integrated into UIST for cryogenic tests in the laboratory in Edinburgh and on the telescope. These tests included measurements of the image quality produced by the IFU and the transmission of the IFU relative to a slit of equivalent width as a function of wavelength, found to increase from 0.4 at 1 μm to 0.62 at 2.5 μm. When the seeing is poor and high spectral resolution is required the loss of light in the IFU may be significantly less than the slit-losses from a conventional slit. The conditions under which use of the IFU may be preferable to use of a silt are discussed. The data reduction methods used to automatically combine IFU observations with arc-lamp spectra, flat-field frames and standard-star spectra in order to transform the two-dimensional output of the IFU into a calibrated (x, y, l) datacube in near real-time and the procedures required to obtain the necessary calibration data are outlined. An example of one type of observation made possible by the IFU is shown by observations of H2 lines excited in bow-shocks in the outflow from a young star in the vicinity of the ultra-compact H II region G25.65-1.05, allowing measurement of the spatial variation of the excitation temperature in these shocks.
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Casselgren, Johan. "Road surface classification using near infrared spectroscopy." Licentiate thesis, Luleå : Luleå University of Technology, 2007. http://epubl.ltu.se/1402-1757/2007/42/LTU-LIC-0742-SE.pdf.

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Kelly, Douglas Michael. "Near-infrared spectroscopy as an astrophysical tool." Diss., The University of Arizona, 1992. http://hdl.handle.net/10150/185983.

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Recent improvements in infrared detector arrays make it possible for the first time to conduct detailed spectroscopic studies of a complete range of objects in the 0.9-1.35 μm region. In this dissertation, I examine the 0.9-1.35 μm spectra of planetary and proto-planetary nebulae, M dwarfs, young stellar objects, Seyfert galaxies, an H II region, and a Wolf-Rayet star. Line identifications are made for each of these objects, and extensive line lists are presented. I also investigate what the lines can tell us about each object. The 0.9-1.35 μm spectrum of the proto-planetary nebula AFGL 618 is dominated by recombination lines, low-ionization, shock-excited lines, and thermal and fluorescent H₂ lines. We use ratios of forbidden lines to show that there are two distinct physical regions in the lobes of AFGL 618, including one which must have been excited by shocks. We also show that the H₂ lines in the 0.9-1.35 μm region are ideal for detecting low levels of fluorescent H₂ emission, even when a strong thermal component is present. We present 0.6-1.5 μm spectra for M dwarfs ranging from M2 through M9. These spectra are compared with recent theoretical models, and a temperature scale is determined. In late-M dwarfs, the shape of the infrared spectrum and the depth of the 1.35 μm H₂O feature are good temperature indicators. The temperatures we derive for the M dwarfs are higher than the temperatures found in earlier studies and are in closer agreement with theoretical tracks of the lower main sequence. We present 0.9-1.35 μm spectra for 7 young stellar objects. These objects exhibit a wide variety of behavior, including strong fluorescent emission. We show that the infrared spectra can be used to study all of the regions that are detected with visible and red spectra. As a result, 0.9-1.35 μm spectroscopy should be quite useful for studying heavily embedded sources. The 0.9-1.35 μm spectra of high-excitation objects include a number of distinctive features including He II lines, several high ionization lines, and very strong (S III) lines. We find that the excitation level of a source can be estimated based on these features alone.
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Gresham, Christopher Allen 1965. "Near-infrared spectroscopy utilizing array detector technology." Diss., The University of Arizona, 1998. http://hdl.handle.net/10150/282690.

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A near-infrared spectrometer incorporating solid-state design applicable for industrial quantitative/qualitative process monitoring analysis is presented. The solid-state near-infrared spectrometer provides inherent wavelength stability necessary for long term calibration accuracy. The spectrometer consists of a 24 volt, 10 watt quartz-halogen-tungsten regulated source with optical feedback. Wavelength dispersion was accomplished using a 50 μm entrance slit, f/4, 0.25 meter spectrograph equipped with astigmatism correcting toroidal mirrors and a 300 gr/mm plane reflectance ruled grating blazed for 2000 nm peak efficiency. A 1024 element backside- illuminated Schottky-barrier PtSi photodiode array detector with wavelength response from 900-5000 nm and peak quantum efficiency of 8% at 1100 nm was operated using cryogenic cooling to reduce dark response. A readout rate of 31.25 kHz produced 41 msec integration time per array read. The readout was digitized to 16 bit resolution for subsequent data storage. This system demonstrated 1.5 nm spectral bandpass, 3 orders linear dynamic range and typical baseline rms noise level of 10⁻⁴ a.u. Using this system, quantitative/qualitative chemical analyses were performed focusing on industrial analytical chemical applications. Simultaneous quantitative multcomponent xylene isomer mixtures analysis was achieved using the solid-state near-infrared spectrometer coupled with partial least squares regression multivariate data treatment. The results demonstrate an absolute accuracy of ± 0.05, ±0.12 and ±0.09% w/v for o-, m- and p-xylene isomers respectively. In a separate chemical study, qualitative classification analysis of specially denatured alcohol mixtures was successfully performed on 53 validation samples using 35 reference samples belonging to 12 classes. The validation set included mixture sample types used for model calibration as well as others composed of compounds not used for model calibration. The multivariate cluster classification method using principal components was employed to correctly classify 100% of the validations samples analyzed. The solid-state near-infrared spectrometer was also applied for direct reaction monitoring of the O-H overtone absorption band at 1411 nm for the reaction between triisopropyl-chlorosilane and methanol. The results illustrated the utility of near-infrared functional group monitoring of reactions at relatively high concentrations for information elucidation concerning reaction initiation and completion.
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Books on the topic "Near infrared spectroscopy"

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Ozaki, Yukihiro, Christian Huck, Satoru Tsuchikawa, and Søren Balling Engelsen, eds. Near-Infrared Spectroscopy. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8648-4.

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Roberts, Craig A., Jerry Workman, and James B. Reeves, eds. Near-Infrared Spectroscopy in Agriculture. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, 2004. http://dx.doi.org/10.2134/agronmonogr44.

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A, Roberts Craig, Workman Jerry, Reeves James B, American Society of Agronomy, Crop Science Society of America., and Soil Science Society of America., eds. Near-infrared spectroscopy in agriculture. Madison, Wis: American Society of Agronomy, 2004.

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1929-, Burns Donald A., and Ciurczak Emil W. 1945-, eds. Handbook of near infrared analysis. 3rd ed. Boca Raton, FL: CRC Press, 2007.

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International Conference on Near Infrared Spectroscopy (6th : 1994 : Lorne, Victoria), ed. Leaping ahead with near infrared spectroscopy. North Melbourne, Vic: NIR Spectroscopy Group, Royal Australian Chemical Institute, 1995.

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Osborne, B. G. Near infrared spectroscopy in food analysis. Harlow, Essex, England: Longman Scientific & Technical, 1986.

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1943-, Siesler H. W., ed. Near-infrared spectroscopy: Principles, instruments, applications. Weinheim: Wiley-VCH, 2002.

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United States. Grain Inspection, Packers, and Stockyards Administration. Near-infrared transmittance handbook: (NIRT). Washington, DC: U.S. Dept. of Agriculture, Marketing and Regulatory Programs, Grain Inspection, Packers and Stockyards Administration, Federal Grain Inspection Service, 1999.

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C, Davies A. M., and Williams Phil, eds. Near infrared spectroscopy: The future waves : the proceedings of the 7th International Conference on Near Infrared Spectroscopy, Montréal, Canada, 6-11 August 1995. Charlton, Chichester, West Sussex, United Kingdom: NIR Publications, 1996.

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Jue, Thomas, and Kazumi Masuda, eds. Application of Near Infrared Spectroscopy in Biomedicine. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-1-4614-6252-1.

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Book chapters on the topic "Near infrared spectroscopy"

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León-Domínguez, Umberto, and José León-Carrión. "Near-Infrared Spectroscopy." In Encyclopedia of Clinical Neuropsychology, 2354–57. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_9081.

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León-Domínguez, Umberto, and José León-Carrión. "Near-Infrared Spectroscopy." In Encyclopedia of Clinical Neuropsychology, 1–4. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_9081-2.

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Edmonds, Harvey L., Michael R. Isley, and Jeffrey R. Balzer. "Near-Infrared Spectroscopy." In Monitoring the Nervous System for Anesthesiologists and Other Health Care Professionals, 219–40. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-0308-1_10.

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Jha, Shyam N. "Near Infrared Spectroscopy." In Nondestructive Evaluation of Food Quality, 141–212. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15796-7_6.

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Choi, Byoung-joo. "Near-Infrared Spectroscopy." In Coronary Imaging and Physiology, 85–94. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2787-1_9.

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Wyatt, J. S., and D. T. Delpy. "Near Infrared Spectroscopy." In Imaging Techniques of the CNS of the Neonates, 147–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76488-2_6.

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Abbas, Ouissam, and Vincent Baeten. "Near-Infrared Spectroscopy." In Spectroscopic Methods in Food Analysis, 69–102. Boca Raton, FL : CRC Press, Taylor & Francis Group, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781315152769-3.

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Kapoor, Indu. "Near Infrared Spectroscopy." In Principles and Practice of Neurocritical Care, 153–57. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8059-8_11.

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Ozaki, Yukihiro, and Christian Huck. "Introduction." In Near-Infrared Spectroscopy, 3–10. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8648-4_1.

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Okura, Tsutomu. "Hardware of Near-Infrared Spectroscopy." In Near-Infrared Spectroscopy, 235–64. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8648-4_10.

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Conference papers on the topic "Near infrared spectroscopy"

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Bernath, P. F., R. S. Ram, and L. Wallace. "Infrared and Near Infrared Spectra of Sunspots." In Fourier Transform Spectroscopy. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/fts.1997.fwc.3.

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L. Wallace of Kitt Peak National Observatory has been reducing the infrared and near infrared spectra of sunspots. These spectra were recorded with the Fourier transform spectrometer associated with the McMath-Pierce Solar Telescope of the National Solar Observatory in Tucson, AZ. The sunspot and the photospheric infrared spectra are available in the form of four atlases1.
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Lindner, Chiara, Jachin Kunz, Simon J. Herr, Jens Kießling, Sebastian Wolf, and Frank Kühnemann. "Fourier-Transform Infrared Spectroscopy with Near-Infrared Light." In Fourier Transform Spectroscopy. Washington, D.C.: OSA, 2021. http://dx.doi.org/10.1364/fts.2021.fm2f.4.

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Dallier, Richard, and Jean Gabriel Cuby. "Noncooled near-infrared spectroscopy." In Astronomical Telescopes & Instrumentation, edited by Albert M. Fowler. SPIE, 1998. http://dx.doi.org/10.1117/12.317246.

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Nakauchi, M., Y. Narita, and S. Kimura. "Fourier transform near-field infrared spectroscopy." In Fourier Transform Spectroscopy. Washington, D.C.: OSA, 2003. http://dx.doi.org/10.1364/fts.2003.fmd3.

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Klakegg, Simon, Jorge Goncalves, Niels van Berkel, Chu Luo, Simo Hosio, and Vassilis Kostakos. "Towards Commoditised Near Infrared Spectroscopy." In DIS '17: Designing Interactive Systems Conference 2017. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3064663.3064738.

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Jones, Matthew R. "NEAR INFRARED SPECTROSCOPY AND IMAGING." In Radiative Transfer II. Proceedings of the Second International Symposium on Radiation Transfer. Connecticut: Begellhouse, 1997. http://dx.doi.org/10.1615/ichmt.1997.intsymliqtwophaseflowtranspphenchtradtransfproc.240.

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Hakkel, Kaylee D., Maurangelo Petruzzella, Francesco Pagliano, Anne van Klinken, Tianran Liu, Rene P. J. van Veldhoven, and Andrea Fiore. "Integrated multi-pixel near-infrared spectral sensor." In Applied Industrial Spectroscopy. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/ais.2020.atu3i.3.

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Hutchins, D. A., R. J. Green, A. Saleem, L. A. J. Davis, C. Canal, and R. Gupta. "Concurrent near infrared imaging and spectroscopy." In 2012 Quantitative InfraRed Thermography. QIRT Council, 2012. http://dx.doi.org/10.21611/qirt.2012.272.

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Yan, Ming, Pei-Ling Luo, Kana Iwakuni, Guy Millot, Theodor W. Hänsch, and Nathalie Picqué. "Mid-infrared and near-infrared dual-comb spectroscopy with electro-optic modulators." In Fourier Transform Spectroscopy. Washington, D.C.: OSA, 2016. http://dx.doi.org/10.1364/fts.2016.fth3b.4.

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Rizzo-Sierra, Carlos V., Singh Deepeshwar, Sanjay Kumar, Hemant Bhargav, Manjunath Krishnamurthy, and Nagendra R. Hongasandra. "Resting state functional near infrared spectroscopy." In 2013 Pan American Health Care Exchanges (PAHCE). IEEE, 2013. http://dx.doi.org/10.1109/pahce.2013.6568328.

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Reports on the topic "Near infrared spectroscopy"

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Buchanan, B. R. Acid measurements via near-infrared spectroscopy. Office of Scientific and Technical Information (OSTI), February 1991. http://dx.doi.org/10.2172/7274267.

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Buchanan, B. R. Acid measurements via near-infrared spectroscopy. Office of Scientific and Technical Information (OSTI), February 1991. http://dx.doi.org/10.2172/10131057.

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Tate, G., N. J. Cagle, J. Moersch, I. Jun, A. C. Martin, and L. M. Martinez Sierra. Near-field infrared spectroscopy of monolayer MnPS3 (OBJ file) - Near-field infrared spectroscopy of monolayer MnPS3 (OBJ file). University of Tennessee, Knoxville, January 2018. http://dx.doi.org/10.7290/iqzbqmpjc.

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Neal, Sabine N., and Janice Musfeldt. Near-field infrared spectroscopy of monolayer MnPS3 (OBJ file) - Near-field infrared spectroscopy of monolayer MnPS3 (OBJ file). University of Tennessee, Knoxville, October 2019. http://dx.doi.org/10.7290/zdjicau02.

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Sears, T. J., M. Wu, G. E. Hall, B. C. Chang, G. Hansford, J. C. Bloch, and R. W. Field. Infrared and near infrared transient absorption spectroscopy of molecular free radicals. Office of Scientific and Technical Information (OSTI), December 1993. http://dx.doi.org/10.2172/10116424.

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Lubawy, Carmalyn. Near Infrared Spectroscopy for Improving Breast Core Needle Biopsy. Fort Belvoir, VA: Defense Technical Information Center, September 2005. http://dx.doi.org/10.21236/ada443239.

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Bydlon, Torrev M. Near Infrared Spectroscopy for Improving Breast Core Needle Biopsy. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada475567.

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Wolfrum, E., C. Payne, T. Stefaniak, W. Rooney, N. Dighe, B. Bean, and J. Dahlberg. Multivariate Calibration Models for Sorghum Composition using Near-Infrared Spectroscopy. Office of Scientific and Technical Information (OSTI), March 2013. http://dx.doi.org/10.2172/1071953.

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Reich, F. R., R. E. Johnson, B. L. Philipp, J. B. Duncan, and G. L. Schutzenhofer. Summary of fiscal year 1994 near-infrared spectroscopy moisture sensing activities. Office of Scientific and Technical Information (OSTI), January 1995. http://dx.doi.org/10.2172/10108176.

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Powell, J. W., E. G. Potter, V. Tschirhart, J. B. Percival, S. Mount, B. McEwan, R. Ashley, and K. Wheatley. Quantifying fertile alteration in the Patterson Lake corridor, Saskatchewan, through visible-near infrared-shortwave infrared spectroscopy. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2019. http://dx.doi.org/10.4095/313671.

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