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15:15 - 15:45
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Manuscript ID. 0640
Paper No. 2023-FRI-S0402-I001
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Invited Speaker:
George Barbastathis
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On the use of physics-enhanced machine learning for computational imaging
George Barbastathis, Massachusetts Institute of Technology (USA)
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15:45 - 16:00
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Award Candidate (Paper Competition)
Manuscript ID. 0804
Paper No. 2023-FRI-S0402-O001
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| Yi-Hui Wang
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Simultaneous Estimation of Thickness and Optical Constant in Time Resolved Terahertz Spectroscopy
Yi-Hui Wang, Interdisciplinary Program of Electrical Engineering and Computer Science (Taiwan); Chia-Ming Mai, Institute of Electronic Engineering (Taiwan); Shang-Hua Yang, Interdisciplinary Program of Electrical Engineering and Computer Science (Taiwan), Institute of Electronic Engineering (Taiwan)
In this work, we propose an algorithm for simultaneous determination of optical constant and sample thickness in transmissive time-resolved terahertz spectroscopic measurements. Based on Fresnel equation and Fabry-Perot effect, we construct the transfer function of the unknown sample in terms of sample thickness and its optical constant. Through an iterative fitting procedure, one can come to the optimal results. Our results show that under certain reasonable restrictions, the derived outcomes are in good agreements with published results. Such formulation can be further expanded to multilayer structure, which may contribute to non-destructive characterization of functional devices and packaged ICs.
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16:00 - 16:15
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Award Candidate (Paper Competition)
Manuscript ID. 1059
Paper No. 2023-FRI-S0402-O002
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| Pin-Duan Huang
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Study of the High-Speed Imaging Communication System
Pin-Duan Huang, Yeh-Wei Yu, Tsung-Hsun Yang, Ching-Cherng Sun, National Central University (Taiwan)
The recent surge in multimedia users and internet traffic has strained low data rate Radio Frequency (RF) systems. To meet the growing need for higher data rates, the transition from RF to optical domains is accelerating. Free Space Optical (FSO) communication stands out as a solution, offering robust bandwidth for wireless connectivity between remote locations. However, FSO systems face atmospheric challenges, which Adaptive Optics combats by real-time correction of turbulence-induced distortions. Signal interference is also addressed through Sparse Coding, reducing the number of patterns. Our team developed a coding method to ensure both signal quality and efficient information transmission.
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16:15 - 16:30
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Award Candidate (Paper Competition)
Manuscript ID. 0820
Paper No. 2023-FRI-S0402-O003
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| Ying-Hao Wang
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Investigation of Light-Emitting Diode Irradiation on Retinal Pigment Epithelial Cells Using Digital Holographic Microscopy
Ying-Hao Wang, Electro-Optical Engineering (Taiwan); Ching-Yao Huang, Optometry (Taiwan); Chau-Jern Cheng, Electro-Optical Engineering (Taiwan)
Light-emitting diodes (LEDs) are the lighting elements on computer, cell phone, and television screens. Understanding LED irradiation effects on the human eye is crucial to vision care. This study investigated the effect of LED (violet, blue and red) irradiation on human retinal pigment epithelial (RPE) cell line ARPE-19, which can be observed through digital holographic microscopy (DHM) to assess cell morphology. The experimental results on cell morphology and viability indicate that ARPE-19 cells were more harmful under exposure to violet and blue light, but not significantly changed with red light irradiation.
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16:30 - 16:45
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Award Candidate (Paper Competition)
Manuscript ID. 1056
Paper No. 2023-FRI-S0402-O004
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| Kai-Dong Hsu
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A facile fabrication route of poly(ethylene glycol phenyl ether acrylate photopolymers for holographic storage
Kai-Dong Hsu, Yun-hsiu Lee, Tzu-Chien Hsu, Wei-Hung Su, National Sun Yat-Sen University (Taiwan)
A volume holographic material based on the ethylene glycol phenyl ethyl arylate (EGPEA) monomers with various initiator concentrations in the host matrix PMMA is synthesized. The advantages of lowering the initiator concentration, including a rather short initiation time within few seconds and a sharp rising optical response, are demonstrated. For a polymer with a thickness of 190m and an illuminating power density of 2mW/cm2, a Bragg grating with the diffraction efficiency of 95% can be formed in 80 seconds.
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16:45 - 17:00
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Manuscript ID. 0728
Paper No. 2023-FRI-S0402-O005
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| Shao-Kui Zhou
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FOV Expanding in Scanning Computer-generated Hologram System Based on Holographic Combiner
Wen-Kai Lin, National Central University (Taiwan); Shao-Kui Zhou, National Changhua University of Education (Taiwan), National Yang Ming Chiao Tung University (Taiwan); Chun-Chia Chen, Hung-Hui Huang, National Changhua University of Education (Taiwan); Bor-Shyh Lin, National Yang Ming Chiao Tung University (Taiwan); Wei-Chia Su, National Changhua University of Education (Taiwan)
This study proposed a scanning computer-generated hologram (CGH) display system to increase the field of view (FOV). A holographic screen is utilized to achieve the see-through function. A scanning mirror is utilized to enlarge the FOV. The aberration caused by the holographic combiner is analyzed and corrected. In our case, we achieve 21 degrees horizontal FOV with 6.4 μm pixel size SLM. The eyebox is 5.8mm (horizontal) by 4.6mm (vertical) while the resolution of SLM is 1920 (horizontal) by 1080 (vertical).
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17:00 - 17:15
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Manuscript ID. 0688
Paper No. 2023-FRI-S0402-O006
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| Jing-Feng Weng
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Auto-focusing Algorithm by using Mask Slope Variations to distinguish Blemish from Smooth Surface Sample
Jing-Feng Weng, National Chiayi University (Taiwan)
This paper is developed, simplified, and optimized from [1] in order to distinguish the proposed focal curves of the blemish from the curves of the smooth-surface sample. In this paper, the novel idea presents calculating the number of slope variations in the image mask. By contrast, the traditional auto-focusing algorithms (such as Square gradient) are based on calculating the intensity gray-values in the image mask. These traditional algorithms are not suitable in the fringe cases of the smooth-surface sample containing the blemish. In the following experimental results, the proposed algorithm presented the high-effective results.
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17:15 - 17:30
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Manuscript ID. 0968
Paper No. 2023-FRI-S0402-O007
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| Jye-Yeu Lee
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Model Predictive Control-Based Adaptive Optics System with Deep Shack-Hartmann Wavefront Sensor
Wei-Shiuan Huang, Jye-Yeu Lee, Chia-Wei Hsu, Feng-Chun Hsu, Chun-Yu Lin, Shean-Jen Chen, National Yang Ming Chiao Tung University (Taiwan)
Model predictive control (MPC) predicts future events using current measurements and adjusts control processes accordingly. In our adaptive optics system (AOS), we integrate U-Net with Shack-Hartmann wavefront sensor (SHWS) propose a deep learning (DL) method to reconstruct the wavefront. This DL-SHWS is integrated into the MPC controller, effectively correcting wavefront aberrations in simulations and enhancing both speed and accuracy. The future goal is to realize real-time control through robot operating system implementation for the MPC-based AOS.
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