scholarly journals Analysis of the Light Propagation Model of the Optical Voltage Sensor for Suppressing Unreciprocal Errors

Sensors ◽  
2017 ◽  
Vol 17 (1) ◽  
pp. 85 ◽  
Author(s):  
Hui Li ◽  
Zhida Fu ◽  
Liying Liu ◽  
Zhili Lin ◽  
Wei Deng ◽  
...  
2010 ◽  
Vol 1245 ◽  
Author(s):  
Alessandro Fantoni ◽  
Pedro Pinho

AbstractWe have developed a computer program based on the Finite Difference Time Domain (FDTD) algorithm able to simulate the propagation of electromagnetic waves with wavelengths in the range of the visible spectrum within a-Si:H p-i-n structures. Understanding of light transmission, reflection and propagation inside semiconductor structures is crucial for development of photovoltaic devices. Permitting 1D analysis of light propagation over time evolution, our software produces results in well agreement with experimental values of the absorption coefficient. It shows the light absorption process together with light reflection effects at the incident surface as well as at the semiconductor interfaces. While the effects of surface reflections are easily taken into account by the algorithm, light absorption represents a more critical point, because of its non-linear dependence from conductivity. Doping density, density of states and photoconductivity calculation are therefore crucial parameters for a correct description of the light absorption-transmission phenomena through a light propagation model.The results presented in this paper demonstrate that is possible to describe the effect of the light-semiconductor interaction through the application of the FDTD model to a a-Si:H solar cell. A more general application of the model to 2D geometries will permit the analysis of the influence of surface and interface roughness on the device photovoltaic efficiency.


2012 ◽  
Vol 56 (3) ◽  
pp. 873-895 ◽  
Author(s):  
Nourelhouda Dougui ◽  
Daniel Delahaye ◽  
Stéphane Puechmorel ◽  
Marcel Mongeau

2008 ◽  
Author(s):  
Vincent Paquit ◽  
Jeffery R. Price ◽  
Fabrice Mériaudeau ◽  
Kenneth W. Tobin

2016 ◽  
Author(s):  
Matic Ivančič ◽  
Peter Naglič ◽  
Franjo Pernuš ◽  
Boštjan Likar ◽  
Miran Bürmen

Sensors ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 283
Author(s):  
Rianne Bulsink ◽  
Mithun Kuniyil Ajith Singh ◽  
Marvin Xavierselvan ◽  
Srivalleesha Mallidi ◽  
Wiendelt Steenbergen ◽  
...  

Oxygen saturation imaging has potential in several preclinical and clinical applications. Dual-wavelength LED array-based photoacoustic oxygen saturation imaging can be an affordable solution in this case. For the translation of this technology, there is a need to improve its accuracy and validate it against ground truth methods. We propose a fluence compensated oxygen saturation imaging method, utilizing structural information from the ultrasound image, and prior knowledge of the optical properties of the tissue with a Monte-Carlo based light propagation model for the dual-wavelength LED array configuration. We then validate the proposed method with oximeter measurements in tissue-mimicking phantoms. Further, we demonstrate in vivo imaging on small animal and a human subject. We conclude that the proposed oxygen saturation imaging can be used to image tissue at a depth of 6–8 mm in both preclinical and clinical applications.


2021 ◽  
Vol 11 ◽  
Author(s):  
Lin Wang ◽  
Wentao Zhu ◽  
Ying Zhang ◽  
Shangdong Chen ◽  
Defu Yang

Optical imaging is an emerging technology capable of qualitatively and quantitatively observing life processes at the cellular or molecular level and plays a significant role in cancer detection. In particular, to overcome the disadvantages of traditional optical imaging that only two-dimensionally and qualitatively detect biomedical information, the corresponding three-dimensional (3D) imaging technology is intensively explored to provide 3D quantitative information, such as localization and distribution and tumor cell volume. To retrieve these information, light propagation models that reflect the interaction between light and biological tissues are an important prerequisite and basis for 3D optical imaging. This review concentrates on the recent advances in hybrid light propagation models, with particular emphasis on their powerful use for 3D optical imaging in cancer detection. Finally, we prospect the wider application of the hybrid light propagation model and future potential of 3D optical imaging in cancer detection.


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