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Near-infrared imaging analysis

D. Wienke, W. van den Broek and L. Buydens, Identification of plastics among nonplastics in mixed waste hy remote sensing near-infrared imaging spectroscopy. 2. Multivariate rank analysis for rapid classification. Anal. Ghent., 67, 3760-3766 (1995). [Pg.279]

Wienke, D. van den Broek, W. Buydens, L., Identification of Plastics among Nonplastics in Mixed Waste by Remote Sensing Near-Infrared Imaging Spectroscopy. 2. Multivariate Rank Analysis for Rapid Classification Anal. Chem. 1995, 67, 3760-3766. [Pg.224]

J. R. Mansfield et al., Fuzzy C-Means Clustering and Principal Component Analysis of Time Series from Near-Infrared Imaging of Forearm Ischemia, Computerized Med. Imaging and Graphics, 21(5), 299 (1997). [Pg.174]

R. A. Lodder and G. M. Hieftje, Subsurface Image Reconstruction by Near-Infrared Reflectance Analysis, AppZ. Spectrosc., 42,1351 (1988). [Pg.95]

Baeten V. and Dardenne P. (2005). Apphcations of near-infrared imaging for monitoring agricultural food and feed products. In Spectrochemical Analysis using Infrared Multichannel Detectors, R. Bhargava, I. W. Levin eds. BlackweU Publishing, pp. 283-301. [Pg.132]

R.C. Lyon, D.S. Lester, E.N. Lewis, E. Lee, L.X. Yu, E.H. Jefferson and A. S., Hussain, Near-infrared spectral imaging for quality assurance of pharmaceutical products analysis of tablets to assess powder blend homogeneity, AAPS Pharm. Sci. Tech., 3(3), 1-15 (2002). [Pg.278]

Near-infrared chemical imaging instrumentation is rugged and flexible, suitable for both the laboratory and the manufacturing environment. Therefore analysis methods developed in the laboratory can often be tailored for implementation near-line or at-line. NIR-CI is also a massively parallel approach to NIR spectroscopy, making the technique well suited for high-throughput applications. [Pg.189]

Lyon, R.C. Lester, D.S. Lewis, E.N. Lee, E. Yu, L.X. Jefferson, E.H. 8t Hussain, A.S., Near-Infrared Spectral Imaging for Quality Assurance of Pharmaceutical Products Analysis of Tablets to Assess Powder Blend Homogeneity AAPS PharmSciTech. 2002, 3(3), article 17, 1-15. [Pg.224]

Codgill, R. P, Hurburgh, C. R. Jr, Jensen, T. C. and Jones, R. W. (2002) Single-kernel maize analysis by near-infrared hyperspectral imaging, Proceedings of the 10th International Conference on Near-Infrared Spectroscopy, 2001 (A. M. C. Davies and R. K. Cho, eds), Korea, pp. 243-7. [Pg.299]

Lewis, E.N., Kidder, L.H., Lee, E. and Haber, K.S. (2005) Near-infrared spectral imaging with focal plane array detectors, in Spectrochemical Analysis Using Infrared Multichannel Detector (eds R. Bhargava and l.W. Levin), Blacl ell Publ. Ltd., Oxford, pp. 25-55. [Pg.344]


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See also in sourсe #XX -- [ Pg.308 , Pg.310 ]




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