Fast Method for Liquid Crystal Cell Spatial Variations Estimation Based on Modeling the Spectral Transmission
Liquid crystal phase retarders are utilized by photonic devices and imaging systems for various applications, such as tunable filtering, light modulation, polarimetric imaging, remote sensing and quality inspection. Due to technical difficulties in the manufacturing process, these phase retarders ma...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-09-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/18/3874 |
| _version_ | 1828120541344563200 |
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| author | Shauli Shmilovich Liat Revah Yaniv Oiknine Isaac August Ibrahim Abdulhalim Adrian Stern |
| author_facet | Shauli Shmilovich Liat Revah Yaniv Oiknine Isaac August Ibrahim Abdulhalim Adrian Stern |
| author_sort | Shauli Shmilovich |
| collection | DOAJ |
| description | Liquid crystal phase retarders are utilized by photonic devices and imaging systems for various applications, such as tunable filtering, light modulation, polarimetric imaging, remote sensing and quality inspection. Due to technical difficulties in the manufacturing process, these phase retarders may suffer from spatial non-uniformities, which degrade the performance of the systems. These non-uniformities can be characterized by measuring the spectral transmission at each voltage and each point on the liquid crystal cell, which is time consuming. In this work, we present a new fast and simple method for measuring and computationally estimating the spatial variations of a liquid crystal phase retarder with planar alignment. The method is based on measuring the spectral transmission of the phase retarder at several spatial locations and estimating it at others. The experimental results show that the method provides an accurate spatial description of the phase retarder and can be employed for calibrating relevant systems. |
| first_indexed | 2024-04-11T14:06:41Z |
| format | Article |
| id | doaj.art-2408ca2dbf294b36b8399d9be35fc715 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T14:06:41Z |
| publishDate | 2019-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2408ca2dbf294b36b8399d9be35fc7152022-12-22T04:19:51ZengMDPI AGSensors1424-82202019-09-011918387410.3390/s19183874s19183874Fast Method for Liquid Crystal Cell Spatial Variations Estimation Based on Modeling the Spectral TransmissionShauli Shmilovich0Liat Revah1Yaniv Oiknine2Isaac August3Ibrahim Abdulhalim4Adrian Stern5Department of Electrical and Computer Engineering, School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, P.O.B. 653, Beer-Sheva 8410501, IsraelDepartment of Electro-Optics and Photonics Engineering, School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, P.O.B. 653, Beer-Sheva 8410501, IsraelDepartment of Electro-Optics and Photonics Engineering, School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, P.O.B. 653, Beer-Sheva 8410501, IsraelDepartment of Electro-Optics and Photonics Engineering, School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, P.O.B. 653, Beer-Sheva 8410501, IsraelDepartment of Electro-Optics and Photonics Engineering, School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, P.O.B. 653, Beer-Sheva 8410501, IsraelDepartment of Electro-Optics and Photonics Engineering, School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, P.O.B. 653, Beer-Sheva 8410501, IsraelLiquid crystal phase retarders are utilized by photonic devices and imaging systems for various applications, such as tunable filtering, light modulation, polarimetric imaging, remote sensing and quality inspection. Due to technical difficulties in the manufacturing process, these phase retarders may suffer from spatial non-uniformities, which degrade the performance of the systems. These non-uniformities can be characterized by measuring the spectral transmission at each voltage and each point on the liquid crystal cell, which is time consuming. In this work, we present a new fast and simple method for measuring and computationally estimating the spatial variations of a liquid crystal phase retarder with planar alignment. The method is based on measuring the spectral transmission of the phase retarder at several spatial locations and estimating it at others. The experimental results show that the method provides an accurate spatial description of the phase retarder and can be employed for calibrating relevant systems.https://www.mdpi.com/1424-8220/19/18/3874liquid crystalspectral transmissionsensor calibrationspatial variationsspatial non-uniformityspatial estimation algorithm |
| spellingShingle | Shauli Shmilovich Liat Revah Yaniv Oiknine Isaac August Ibrahim Abdulhalim Adrian Stern Fast Method for Liquid Crystal Cell Spatial Variations Estimation Based on Modeling the Spectral Transmission Sensors liquid crystal spectral transmission sensor calibration spatial variations spatial non-uniformity spatial estimation algorithm |
| title | Fast Method for Liquid Crystal Cell Spatial Variations Estimation Based on Modeling the Spectral Transmission |
| title_full | Fast Method for Liquid Crystal Cell Spatial Variations Estimation Based on Modeling the Spectral Transmission |
| title_fullStr | Fast Method for Liquid Crystal Cell Spatial Variations Estimation Based on Modeling the Spectral Transmission |
| title_full_unstemmed | Fast Method for Liquid Crystal Cell Spatial Variations Estimation Based on Modeling the Spectral Transmission |
| title_short | Fast Method for Liquid Crystal Cell Spatial Variations Estimation Based on Modeling the Spectral Transmission |
| title_sort | fast method for liquid crystal cell spatial variations estimation based on modeling the spectral transmission |
| topic | liquid crystal spectral transmission sensor calibration spatial variations spatial non-uniformity spatial estimation algorithm |
| url | https://www.mdpi.com/1424-8220/19/18/3874 |
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