548
D. Ishikawa et al.
Fig. 22.27 NIR images obtained by plotting intensities of a detected light at 2260 nm and
absorbance at b 1880 nm, c 1940 nm, and d 2360 nm. Reproduced from Ref. [52] with permission
from ACS Publications
References
1. G. Polder, A.A. Gowen, The hype in spectral imaging. J. Spectral Imaging 9, a4 (2020)
2. A.A. Gowen, R. Tsenkova, C. Esquerre, G. Downey, C. O’Donnell, Use of near infrared
hyperspectral imaging to identify water matrix co-ordinates in mushrooms (Agaricus bisporus)
subjected to mechanical vibration. J. Near Infrared Spectrosc. 17, 363–371 (2009)
3. T. Takatani, T. Aoto, Y. Mukaigawa, One-shot hyperspectral imaging using faced reflectors, in
Proceeding of IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)
4. B. Geelen, C. Blanch, P. Gonzalez, N. Tack, A. Lambrechts, A tiny VIS-NIR snapshot multispectral camera, in Advanced Fabrication Technologies for Micro/Nano Optics and Photonics
VIII (SPIE: Bellingham, WA, USA, 2015) 937414, 9374
5. D. Ishikawa, K. Murayama, T. Genkawa, K. Awa, M. Komiyama, Y. Ozaki, Development of
a component NIR imaging device with high speed and portability for pharmaceutical process
monitoring. NIR News 23(8), 19–23 (2012)
6. D. Ishikawa, T. Nishii, F. Mizuno, S.G. Kazarian, Y. Ozaki, Development of a high-speed
monitoring NIR hyperspectral camera (Compovision) with wide area and its applications. NIR
News 24(5), 6–11 (2013)
7. R. Vejarano, R. Siche, W. Tesfaye, Evaluation of biological contaminants in foods by
hyperspectral imaging: a review. Int. J. Food Prop. 20(sup2), 1264–1297 (2017)
8. J. Roberts, A. Power, J. Chapman, S. Chandra, D. Cozzolino, A short update on the advantages,
applications and limitations of hyperspectral and chemical imaging in food authentication.
Appl. Sci. 8, 505 (2018)
9. A.A. Gowen, C.P. O’Donnell, P.J. Cullen, G. Downey, J.M. Frias, Hyperspectral imaging—an
emerging process analytical tool for food quality and safety control. Trends Food Sci. Technol.
18, 590–598 (2007)
D. Ishikawa et al.
Fig. 22.27 NIR images obtained by plotting intensities of a detected light at 2260 nm and
absorbance at b 1880 nm, c 1940 nm, and d 2360 nm. Reproduced from Ref. [52] with permission
from ACS Publications
References
1. G. Polder, A.A. Gowen, The hype in spectral imaging. J. Spectral Imaging 9, a4 (2020)
2. A.A. Gowen, R. Tsenkova, C. Esquerre, G. Downey, C. O’Donnell, Use of near infrared
hyperspectral imaging to identify water matrix co-ordinates in mushrooms (Agaricus bisporus)
subjected to mechanical vibration. J. Near Infrared Spectrosc. 17, 363–371 (2009)
3. T. Takatani, T. Aoto, Y. Mukaigawa, One-shot hyperspectral imaging using faced reflectors, in
Proceeding of IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)
4. B. Geelen, C. Blanch, P. Gonzalez, N. Tack, A. Lambrechts, A tiny VIS-NIR snapshot multispectral camera, in Advanced Fabrication Technologies for Micro/Nano Optics and Photonics
VIII (SPIE: Bellingham, WA, USA, 2015) 937414, 9374
5. D. Ishikawa, K. Murayama, T. Genkawa, K. Awa, M. Komiyama, Y. Ozaki, Development of
a component NIR imaging device with high speed and portability for pharmaceutical process
monitoring. NIR News 23(8), 19–23 (2012)
6. D. Ishikawa, T. Nishii, F. Mizuno, S.G. Kazarian, Y. Ozaki, Development of a high-speed
monitoring NIR hyperspectral camera (Compovision) with wide area and its applications. NIR
News 24(5), 6–11 (2013)
7. R. Vejarano, R. Siche, W. Tesfaye, Evaluation of biological contaminants in foods by
hyperspectral imaging: a review. Int. J. Food Prop. 20(sup2), 1264–1297 (2017)
8. J. Roberts, A. Power, J. Chapman, S. Chandra, D. Cozzolino, A short update on the advantages,
applications and limitations of hyperspectral and chemical imaging in food authentication.
Appl. Sci. 8, 505 (2018)
9. A.A. Gowen, C.P. O’Donnell, P.J. Cullen, G. Downey, J.M. Frias, Hyperspectral imaging—an
emerging process analytical tool for food quality and safety control. Trends Food Sci. Technol.
18, 590–598 (2007)