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Journal articles on the topic 'Visible and near infrared'

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Author: Grafiati

Published: 8 June 2024

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1

Hemmer, James R., Saemi O. Poelma, Nicolas Treat, Zachariah A. Page, Neil D. Dolinski, Yvonne J. Diaz, Warren Tomlinson, et al. "Tunable Visible and Near Infrared Photoswitches." Journal of the American Chemical Society 138, no. 42 (October 18, 2016): 13960–66. http://dx.doi.org/10.1021/jacs.6b07434.

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2

Gavrikov, V. F., A. N. Dvoryankin, A. A. Stepanov, A. K. Shmelev, and V. A. Shcheglov. "Visible and near-infrared chemical lasers." Journal of Russian Laser Research 15, no. 3 (May 1994): 177–212. http://dx.doi.org/10.1007/bf02581029.

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3

BROWN, CHRIS W. "ULTRAVIOLET, VISIBLE, and NEAR-INFRARED SPECTROPHOTOMETERS." Applied Spectroscopy Reviews 35, no. 3 (December 7, 2000): 151–73. http://dx.doi.org/10.1081/asr-100101223.

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4

Hammersley, M. J., P. E. Townsend, G. F. Grayston, and S. L. Ranford. "Visible/Near Infrared Spectroscopy of Scoured Wool." Textile Research Journal 65, no. 4 (April 1995): 241–46. http://dx.doi.org/10.1177/004051759506500409.

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5

Zhu, Mei, Mingjian Yuan, Xiaofeng Liu, Jialiang Xu, Jing Lv, Changshui Huang, Huibiao Liu, Yuliang Li, Shu Wang, and Daoben Zhu. "Visible Near-Infrared Chemosensor for Mercury Ion." Organic Letters 10, no. 7 (April 2008): 1481–84. http://dx.doi.org/10.1021/ol800197t.

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6

Fang, Y. "Acid with visible and near-infrared excitations." Journal of Raman Spectroscopy 30, no. 2 (February 1999): 85–89. http://dx.doi.org/10.1002/(sici)1097-4555(199902)30:2<85::aid-jrs349>3.0.co;2-k.

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7

Xiao, Qingbo, Haomiao Zhu, Datao Tu, En Ma, and Xueyuan Chen. "Near-Infrared-to-Near-Infrared Downshifting and Near-Infrared-to-Visible Upconverting Luminescence of Er3+-Doped In2O3 Nanocrystals." Journal of Physical Chemistry C 117, no. 20 (May 13, 2013): 10834–41. http://dx.doi.org/10.1021/jp4030552.

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8

Ivana, Šestak, Mesić Milan, Zgorelec Željka, Perčin Aleksandra, and Stupnišek Ivan. "Visible and near infrared reflectance spectroscopy for field-scale assessment of Stagnosols properties." Plant, Soil and Environment 64, No. 6 (May 31, 2018): 276–82. http://dx.doi.org/10.17221/220/2018-pse.

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Spectral data contain information on soil organic and mineral composition, which can be useful for soil quality monitoring. The objective of research was to evaluate hyperspectral visible and near infrared reflectance (VNIR) spectroscopy for field-scale prediction of soil properties and assessment of factors affecting soil spectra. Two hundred soil samples taken from the experiment field (soil depth: 30 cm; sampling grid: 15 × 15 m) were scanned using portable spectroradiometer (350–1050 nm) to identify spectral differences of soil treated with ten different rates of mineral nitrogen (N) fertilizer (0–300 kg N/ha). Principal component analysis revealed distinction between higher- and lower-N level treatments conditioned by differences in soil pH, texture and soil organic matter (SOM) composition. Partial least square regression resulted in very strong correlation and low root mean square error (RMSE) between predicted and measured values for the calibration (C) and validation (V) dataset, respectively (SOM, %: R<sub>C</sub><sup>2</sup> = 0.75 and R<sub>V</sub><sup>2</sup> = 0.74; RMSE<sub>C</sub> = 0.334 and RMSE<sub>V</sub> = 0.346; soil pH: R<sub>C</sub><sup>2</sup> = 0.78 and R<sub>V</sub><sup>2</sup> = 0.62; RMSE<sub>C</sub> = 0.448 and RMSE<sub>V</sub> = 0.591). Results indicated that hyperspectral VNIR spectroscopy is an efficient method for measurement of soil functional attributes within precision farming framework.

9

Gerber, H. "Infrared aerosol extinction from visible and near-infrared light scattering." Applied Optics 24, no. 23 (December 1, 1985): 4155. http://dx.doi.org/10.1364/ao.24.004155.

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10

Fu, Tairan, Jiaqi Tang, Kai Chen, and Fan Zhang. "Visible, near-infrared and infrared optical properties of silica aerogels." Infrared Physics & Technology 71 (July 2015): 121–26. http://dx.doi.org/10.1016/j.infrared.2015.03.004.

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11

Stephens, Denise C. "The Classification of L Dwarfs: Is It Based on Clouds or Temperature?" Symposium - International Astronomical Union 211 (2003): 355–58. http://dx.doi.org/10.1017/s0074180900210905.

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A continuous L dwarf classification sequence requires the combined use of far optical (visible) and near infrared spectral indices. However, the visible and near infrared indices currently in use assign subtypes that differ by up to three subclasses due to differences in cloud opacity for objects with the same effective temperature. Therefore, it may be impossible to combine visible and near infrared spectral indices to create one L dwarf classification system, and two classification variables may be necessary.

12

Browne, Andrew W., Ekaterina Deyneka, Francesco Ceccarelli, Josiah K. To, Siwei Chen, Jianing Tang, Anderson N. Vu, and Pierre F. Baldi. "Deep learning to enable color vision in the dark." PLOS ONE 17, no. 4 (April 6, 2022): e0265185. http://dx.doi.org/10.1371/journal.pone.0265185.

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Humans perceive light in the visible spectrum (400-700 nm). Some night vision systems use infrared light that is not perceptible to humans and the images rendered are transposed to a digital display presenting a monochromatic image in the visible spectrum. We sought to develop an imaging algorithm powered by optimized deep learning architectures whereby infrared spectral illumination of a scene could be used to predict a visible spectrum rendering of the scene as if it were perceived by a human with visible spectrum light. This would make it possible to digitally render a visible spectrum scene to humans when they are otherwise in complete “darkness” and only illuminated with infrared light. To achieve this goal, we used a monochromatic camera sensitive to visible and near infrared light to acquire an image dataset of printed images of faces under multispectral illumination spanning standard visible red (604 nm), green (529 nm) and blue (447 nm) as well as infrared wavelengths (718, 777, and 807 nm). We then optimized a convolutional neural network with a U-Net-like architecture to predict visible spectrum images from only near-infrared images. This study serves as a first step towards predicting human visible spectrum scenes from imperceptible near-infrared illumination. Further work can profoundly contribute to a variety of applications including night vision and studies of biological samples sensitive to visible light.

13

Zhong, Rongxuan, Xiayuan Xu, Yongle Zhou, Haowen Liang, and Juntao Li. "High-Efficiency Integrated Color Routers by Simple Identical Nanostructures for Visible and Near-Infrared Wavelengths." Photonics 10, no. 5 (May 6, 2023): 536. http://dx.doi.org/10.3390/photonics10050536.

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Imaging in both the visible and the near-infrared ranges has various applications in computational photography and computer vision. Comparing it with the traditional imaging system, integrating pixel-level metasurfaces on the imaging sensor is effective to plot the route of visible and near-infrared light to the right pixels, while the previously reported nanostructures were complicated to design and fabricate. Here, a pixel-level color router based on metalens, which provides a much simpler construction to improve the visible and near-infrared imaging efficiencies to 59% and 60%, is designed.

14

Martelo-Vidal, M. J., and M. Vázquez. "Evaluation of ultraviolet, visible, and near infrared spectroscopy for the analysis of wine compounds." Czech Journal of Food Sciences 32, No. 1 (February 18, 2014): 37–47. http://dx.doi.org/10.17221/167/2013-cjfs.

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Spectroscopy of UV-VIS-NIR combined with chemometric analyses was used as a non-destructive technique to build models for the quantitative characterisation of the main compounds of wine. The work in mixtures can give insight into how interferences affect the performance of calibrations in wines. Ethanol, glycerol, glucose, tartaric acid, malic acid, lactic acid, and acetic acid were evaluated as pure compounds and in mixtures. Different pre-treatments for the spectra and modelling strategies such as partial least squares (PLS) regression or Principal Component Regression (PCR) were evaluated. All pure compounds studied showed a good relationship between spectra and concentrations. However, interferences were observed in the mixtures and only good models for ethanol, tartaric acid, and malic acid were obtained. The best model was obtained in the NIR region for ethanol and in the UV region for tartaric acid and malic acid. The results indicate that NIR spectroscopy could be used as an alternative to conventional chemical methods for ethanol determination and UV spectroscopy for the determination of tartaric acid and malic acid.

15

De Abreu, Roger A., David G. Barber, Kevin Misurak, and E. F. Ledrew. "Spectral albedo of snow-covered first-year and multi-year sea ice during spring melt." Annals of Glaciology 21 (1995): 337–42. http://dx.doi.org/10.3189/s0260305500016037.

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Surface spectral-albedo data collected over snow-covered first-year and multi-year sea ice under diffuse sky conditions during the springtime transition are examined. Of specific interest is the relationship between changes in the visible and near-infrared albedo of sea ice and concurrent changes in the geophysical characteristics of the ice volume. With the onset of melt conditions, visible and near-infrared sea-ice albedo decreased due to physical changes within the snow and ice volumes. Visible albedo was found to be sensitive to changes occurring throughout the sea-ice volume, while the near-infrared albedo appeared most influenced by near-surface conditions.

16

De Abreu, Roger A., David G. Barber, Kevin Misurak, and E. F. Ledrew. "Spectral albedo of snow-covered first-year and multi-year sea ice during spring melt." Annals of Glaciology 21 (1995): 337–42. http://dx.doi.org/10.1017/s0260305500016037.

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Surface spectral-albedo data collected over snow-covered first-year and multi-year sea ice under diffuse sky conditions during the springtime transition are examined. Of specific interest is the relationship between changes in the visible and near-infrared albedo of sea ice and concurrent changes in the geophysical characteristics of the ice volume. With the onset of melt conditions, visible and near-infrared sea-ice albedo decreased due to physical changes within the snow and ice volumes. Visible albedo was found to be sensitive to changes occurring throughout the sea-ice volume, while the near-infrared albedo appeared most influenced by near-surface conditions.

17

Chen, Huijuan, Weijie Chen, Yan Lin, Yuan Xie, Sheng Hua Liu, and Jun Yin. "Visible and near-infrared light activated azo dyes." Chinese Chemical Letters 32, no. 8 (August 2021): 2359–68. http://dx.doi.org/10.1016/j.cclet.2021.03.020.

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18

Rodríguez-Cortina, Mónica, Pawel Adamiec, Juan Barbero, Manuel Caño-García, Xabier Quintana, and Morten Andreas Geday. "Near-infrared, visible, and ultraviolet lidar echo emulator." Optics Express 30, no. 2 (January 10, 2022): 2173. http://dx.doi.org/10.1364/oe.439960.

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19

Li, Yun, and Haiqing Yang. "Honey Discrimination Using Visible and Near-Infrared Spectroscopy." ISRN Spectroscopy 2012 (November 5, 2012): 1–4. http://dx.doi.org/10.5402/2012/487040.

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This study aims to investigate the potential of honey discrimination by visible and near-infrared (vis-NIR) spectroscopy with wavelength reduction. A total of 80 samples from four brands of honey produces were measured by a mobile fiber-type USB4000 spectrophotometer with recorded wavelength range of 380.17~939.98 nm for model calibration. Firstly, principal components analysis (PCA) was used for extracting principal components (PCs). Next, the first seven PCs, which accounted for 97% of variance of the spectra, were combined separately with support vector machine (SVM) and linear discriminate analysis (LDA) to develop PC-SVM and PC-LDA models, both of which achieved 100% discrimination accuracy. In addition, the spectra were subjected to successive wavelength reduction rates (WRRs) of 2x, x = 1–9, for wavelength reduction. The PC-LDA and PC-SVM models developed for these reduced wavelengths produced almost the same performance as compared with those developed for original full wavelengths. This experiment suggests that vis-NIR spectral wavelengths can be reduced at large spacing interval, which allows easing data analysis as well as developing a simpler and cheaper sensor for honey discrimination in practice.

20

Zhang, Yiyun, Yuxuan Liao, Yifan Shou, Nanxuan Wu, Hongsheng Chen, and Haoliang Qian. "Broadband Transparent Electrode in Visible/Near-Infrared Regions." ACS Photonics 8, no. 8 (July 21, 2021): 2203–10. http://dx.doi.org/10.1021/acsphotonics.1c00515.

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21

Balashov, A. A., V. A. Vaguine, I. S. Golyak, A. N. Morozov, I. N. Nesteruk, and A. I. Khorokhorin. "Fourier Spectrometer of Visible and Near Infrared Range." Radio Engineering, no. 6 (January 1, 2017): 27–38. http://dx.doi.org/10.24108/rdeng.0617.0000124.

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22

Sagberg, H., M. Lacolle, I. R. Johansen, O. Lovhaugen, R. Belikov, O. Solgaard, and A. S. Sudbo. "Micromechanical Gratings for Visible and Near-Infrared Spectroscopy." IEEE Journal of Selected Topics in Quantum Electronics 10, no. 3 (May 2004): 604–13. http://dx.doi.org/10.1109/jstqe.2004.828491.

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23

Downare, Taggart D., and Oliver C. Mullins. "Visible and Near-Infrared Fluorescence of Crude Oils." Applied Spectroscopy 49, no. 6 (June 1995): 754–64. http://dx.doi.org/10.1366/0003702953964462.

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Fluorescence emission spectra and absolute quantum yields have been measured for ten diverse crude oils at various concentrations over a broad range of excitation and emission wavelengths in the visible and the near-infrared. Energy transfer produces large red shifts and large widths in the fluorescence emission spectra for shorter wavelength excitation particularly for heavier crude oils. However, the effects of energy transfer are nearly absent for near-infrared excitation; all crude oils exhibit nearly the same emission spectra for long wavelength excitation. In addition, the fraction of emission resulting from collisional energy transfer relative to nascent emission is almost independent of oil type; it is governed by quantum yield characteristics. Absolute fluorescence quantum yields of ten crude oils (and three rhodamine dyes for validation) were measured with respect to scattering of latex microspheres in distilled water. Fluorescence quantum yields vary systematically with crude oil type as well as excitation wavelength; quantum yields are lower for high fluorophore concentrations (heavy crude oils) and for longer wavelength excitation. Stern-Volmer analyses of the quantum yields indicate that simple models apply and show the relative quenching rates for different excitation wavelengths.

24

PRICE, J. C., M. STEVEN, B. ANDRTEU, and K. JAGGARD. "Visible near-infrared radiation parameters for sugar-beets." International Journal of Remote Sensing 17, no. 17 (November 1996): 3411–18. http://dx.doi.org/10.1080/01431169608949159.

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25

McCheyne, R. S., N. Eaton, and A. J. Meadows. "Visible and near-infrared lightcurves of eight asteroids." Icarus 61, no. 3 (March 1985): 443–60. http://dx.doi.org/10.1016/0019-1035(85)90135-6.

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26

Beeckman, Jeroen, David P. Medialdea, Tian Hui, Kristiaan Neyts, and Xabier Quintana. "Fast Visible-Near Infrared Switchable Liquid Crystal Filter." Molecular Crystals and Liquid Crystals 502, no. 1 (May 29, 2009): 9–18. http://dx.doi.org/10.1080/15421400902813634.

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27

Chen, Xiuhong, Wenqiang Qiao, and Zhi Yuan Wang. "Visible and near-infrared electrochromic thiophene–diketopyrrolopyrrole polymers." RSC Advances 7, no. 25 (2017): 15521–26. http://dx.doi.org/10.1039/c7ra01828b.

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28

Urban, J., and U. Leiterer. "An ultraviolet-B/visible/near-infrared transfer radiometer." Metrologia 32, no. 6 (December 1, 1995): 705–8. http://dx.doi.org/10.1088/0026-1394/32/6/63.

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29

Abu-Khalaf, N., and M. Salman. "Detecting Plant Diseases Using Visible/Near Infrared Spectroscopy." NIR news 24, no. 4 (June 2013): 12–25. http://dx.doi.org/10.1255/nirn.1369.

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30

Shimada, M., H. Oaku, H. Oguma, R. O. Green, Y. Miyachi, and H. Shimoda. "Calibration of advanced visible and near infrared radiometer." IEEE Transactions on Geoscience and Remote Sensing 37, no. 3 (May 1999): 1472–83. http://dx.doi.org/10.1109/36.763260.

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31

Adriani, A., G. Bellucci, L. Gambicorti, M. Focardi, E. Oliva, M. Farina, A. M. Di Giorgio, et al. "The visible and near infrared module of EChO." Experimental Astronomy 40, no. 2-3 (June 14, 2014): 753–69. http://dx.doi.org/10.1007/s10686-014-9392-3.

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32

Xie, Hongmei, Ling Zhang, Lin Wu, and Jinke Wang. "Polyacrylamide Nanoparticles with Visible and Near-Infrared Autofluorescence." Particle & Particle Systems Characterization 34, no. 11 (October 24, 2017): 1700222. http://dx.doi.org/10.1002/ppsc.201700222.

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33

Nolan, John P., Danilo Condello, Erika Duggan, Mark Naivar, and David Novo. "Visible and near infrared fluorescence spectral flow cytometry." Cytometry Part A 83A, no. 3 (December 6, 2012): 253–64. http://dx.doi.org/10.1002/cyto.a.22241.

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34

Kshetri, Yuwaraj K., Bhupendra Joshi, Tae-Ho Kim, and Soo W. Lee. "Visible and near-infrared upconversion in α-sialon ceramics." Journal of Materials Chemistry C 5, no. 14 (2017): 3542–52. http://dx.doi.org/10.1039/c6tc05347e.

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35

Reddy, B. Jagannatha, Ray L. Frost, Matt L. Weier, and Wayde N. Martens. "Ultraviolet-Visible, near Infrared and Mid Infrared Reflectance Spectroscopy of Turquoise." Journal of Near Infrared Spectroscopy 14, no. 4 (August 2006): 241–50. http://dx.doi.org/10.1255/jnirs.641.

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36

Megessier, C. "The visual and infrared flux calibrations." Symposium - International Astronomical Union 189 (1997): 61–66. http://dx.doi.org/10.1017/s007418090011650x.

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We present a critical review of the available visible and near infrared flux calibrations. In the visible, the accuracy and the good consistency of three independent determinations of Vega monochromatic flux allow one to recommend with confidence f5556-Vega = 3.46 10−11Wm−2nm−1 within 0.7%. In the near infrared, the possible flux excess of Vega, as compared to that derived from the atmosphere models fitting the visible, does not allow such a good accuracy. The agreement between the calibrations, either from a comparison of Vega to blackbodies or from solar analog stars, would question the calibrations relying on models. More work is necessary to conclude with confidence and then to reduce the uncertainty on the near infrared calibrations.

37

Carleer, M., A. Jenouvrier, A. C. Vandaele, P. F. Bernath, M. F. Mérienne, R. Colin, N. F. Zobov, Oleg L. Polyansky, Jonathan Tennyson, and V. A. Savin. "The near infrared, visible, and near ultraviolet overtone spectrum of water." Journal of Chemical Physics 111, no. 6 (August 8, 1999): 2444–50. http://dx.doi.org/10.1063/1.479859.

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38

Evdokimov, Igor N., Aleksey A. Fesan, and Aleksandr P. Losev. "Asphaltenes: Absorbers and Scatterers at Near-Ultraviolet–Visible–Near-Infrared Wavelengths." Energy & Fuels 31, no. 4 (March 24, 2017): 3878–84. http://dx.doi.org/10.1021/acs.energyfuels.7b00114.

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39

Mariewskaya, Kseniya A., Maxim S. Krasilnikov, Vladimir A. Korshun, Alexey V. Ustinov, and Vera A. Alferova. "Near-Infrared Dyes: Towards Broad-Spectrum Antivirals." International Journal of Molecular Sciences 24, no. 1 (December 22, 2022): 188. http://dx.doi.org/10.3390/ijms24010188.

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Broad antiviral activity in vitro is known for many organic photosensitizers generating reactive oxygen species under irradiation with visible light. Low tissue penetration of visible light prevents further development of antiviral therapeutics based on these compounds. One possible solution to this problem is the development of photosensitizers with near-infrared absorption (NIR dyes). These compounds found diverse applications in the photodynamic therapy of tumors and bacterial infections, but they are scarcely mentioned as antivirals. In this account, we aimed to evaluate the therapeutic prospects of various NIR-absorbing and singlet oxygen-generating chromophores for the development of broad-spectrum photosensitizing antivirals.

40

Lan, Zhaojue, Yanlian Lei, Wing Kin Edward Chan, Shuming Chen, Dan Luo, and Furong Zhu. "Near-infrared and visible light dual-mode organic photodetectors." Science Advances 6, no. 5 (January 2020): eaaw8065. http://dx.doi.org/10.1126/sciadv.aaw8065.

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We report a dual-mode organic photodetector (OPD) that has a trilayer visible light absorber/optical spacer/near-infrared (NIR) light absorber configuration. In the presence of NIR light, photocurrent is produced in the NIR light–absorbing layer due to the trap-assisted charge injection at the organic/cathode interface at a reverse bias. In the presence of visible light, photocurrent is produced in the visible light–absorbing layer, enabled by the trap-assisted charge injection at the anode/organic interface at a forward bias. A high responsivity of >10 A/W is obtained in both short and long wavelengths. The dual-mode OPD exhibits an NIR light response operated at a reverse bias and a visible light response operated at a forward bias, with a high specific detectivity of ~1013 Jones in both NIR and visible light ranges. A bias-switchable spectral response OPD offers an attractive option for applications in environmental pollution detection, bioimaging process, wellness, and security monitoring in two distinct bands.

41

Sun, Peng, Mengdie Zhang, Fengliang Dong, Liefeng Feng, and Weiguo Chu. "Broadband achromatic polarization insensitive metalens over 950 nm bandwidth in the visible and near-infrared." Chinese Optics Letters 20, no. 1 (2022): 013601. http://dx.doi.org/10.3788/col202220.013601.

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42

Fang Zhang, Fang Zhang, Qinghua Zhang Qinghua Zhang, Bo Wang Bo Wang, Dawei Hu Dawei Hu, Haohai Yu Haohai Yu, Huaijin Zhang Huaijin Zhang, Zhengping Wang Zhengping Wang, and Xinguang Xu Xinguang Xu. "Steady-state Raman gain in visible and near-infrared waveband of SrWO4 and BaWO4 crystals." Chinese Optics Letters 12, no. 12 (2014): 121902–4. http://dx.doi.org/10.3788/col201412.121902.

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43

Solanki, Sami K. "Properties of Magnetic Features from the Analysis of Near-Infrared Spectral Lines." Symposium - International Astronomical Union 154 (1994): 393–405. http://dx.doi.org/10.1017/s0074180900124660.

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An overview is given of the structure and the physics of magnetic features in solar plages, as derived from observations of near-infrared lines. First, the diagnostic potential of near-infrared lines is compared with that of lines in the visible and at 12 μm. Then, the results on the magnetic and velocity structure of magnetic features obtained from 1.5 μm lines are described, discussed and compared with results of observations in the visible and with theoretical predictions. Finally, the past and present achievements of near-infrared investigations of Zeeman-split lines are summarized.

44

Son, Dong-Min, Hyuk-Ju Kwon, and Sung-Hak Lee. "Visible and Near Infrared Image Fusion Using Base Tone Compression and Detail Transform Fusion." Chemosensors 10, no. 4 (March 25, 2022): 124. http://dx.doi.org/10.3390/chemosensors10040124.

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This study aims to develop a spatial dual-sensor module for acquiring visible and near-infrared images in the same space without time shifting and to synthesize the captured images. The proposed method synthesizes visible and near-infrared images using contourlet transform, principal component analysis, and iCAM06, while the blending method uses color information in a visible image and detailed information in an infrared image. The contourlet transform obtains detailed information and can decompose an image into directional images, making it better in obtaining detailed information than decomposition algorithms. The global tone information is enhanced by iCAM06, which is used for high-dynamic range imaging. The result of the blended images shows a clear appearance through both the compressed tone information of the visible image and the details of the infrared image.

45

Agassi, Eyal. "Relation between thermal infrared and visible/near infrared images of ground terrain." Optical Engineering 36, no. 3 (March 1, 1997): 862. http://dx.doi.org/10.1117/1.601141.

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46

Laamanen, M., M. Blomberg, R. L. Puurunen, A. Miranto, and H. Kattelus. "Thin film absorbers for visible, near-infrared, and short-wavelength infrared spectra." Sensors and Actuators A: Physical 162, no. 2 (August 2010): 210–14. http://dx.doi.org/10.1016/j.sna.2010.02.015.

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47

LIU, Wangdong, Wenbin LI, Haibo TANG, and Mingzhuo ZHAO. "Infrared to near-infrared and visible upconversion photoluminescence of LiYb4:Er3+ nanorods." Journal of Rare Earths 31, no. 4 (April 2013): 337–41. http://dx.doi.org/10.1016/s1002-0721(12)60282-8.

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48

Laamanen, M., M. Blomberg, R. L. Puurunen, A. Miranto, and H. Kattelus. "Thin film absorbers for visible, near-infrared, and short-wavelength infrared spectra." Procedia Chemistry 1, no. 1 (September 2009): 393–96. http://dx.doi.org/10.1016/j.proche.2009.07.098.

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