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Crystals
Special Issues
Design and Optimization of Optical System Structure
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Design and Optimization of Optical System Structure

A special issue of Crystals (ISSN 2073-4352). This special issue belongs to the section "Hybrid and Composite Crystalline Materials".

Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 4179

Special Issue Editors

Prof. Dr. Cheng-Mu Tsai

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Guest Editor
Graduate Institute of Precision Engineering, National Chung Hsing University (NCHU), Taichung 402, Taiwan
Interests: optical system design; fourier optics; optical communication and network
Prof. Dr. Guo-Dung Su

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Guest Editor
Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan
Interests: optical MEMS/NEMS; optical system design; metalens; 3D display; biosensors
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Cheng-Huan Chen

E-Mail Website
Guest Editor
Department of Photonics, Institute of Electro-Optical Engineering, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
Interests: micro optics; diffractive optics; applied optical design, display optical system
Dr. Chi-Hung Lee

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Guest Editor
Dept. of Electrical Engineering, Feng Chia University, Taichung, Taiwan
Interests: micro-structure applied in optics; opto-mechanical system; visual optical system
Prof. Dr. Yu-Chih Lin

E-Mail Website
Guest Editor
Department of Photonics, Feng Chia University, Taichung, Taiwan
Interests: digital holography; automated optical inspection (AOI); head-up display
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Optical engineering now plays an important role in many fields, such as in consumer products, industry, medicine, and other fields. Augmented Reality Head-Mounted Displays (AR-HMDs) are not only applied in entertainment, but they will also be implemented in the metaverse in the future. Automated optical inspection (AOI) speeds up quality checks for the mass production process. For semiconductor applications, lithography technology is still developing at higher resolutions. Autonomous driving that is based on LiDAR is the future function of the vehicle. However, there are many challenges that must be overcome in optical engineering. With the advent of new technologies, such as Metalens and Artificial Intelligence (AI), smart optics will become a trend of the future. This Special Issue aims to gather the latest developments in the field of optical engineering. For this Special Issue, we invite authors to submit original research and review articles that are focused on optical engineering. Potential topics include, but are not limited to, the following keywords:

Prof. Dr. Cheng-Mu Tsai
Prof. Dr. Guo-Dung Su
Prof. Dr. Cheng-Huan Chen
Dr. Chi-Hung Lee
Prof. Dr. Yu-Chih Lin
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Crystals is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • optical system design
  • metalens
  • diffractive optical elements (DOE)
  • head-up display
  • VR / AR
  • adaptive optics
  • AI (Artificial Intelligence) applications
  • digital holography
  • automated optical inspection (AOI)
  • structured illumination imaging

Published Papers (2 papers)

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Research

8 pages, 1788 KiB  
Article
Red-Green-Blue Mini-LEDs Lighting Design with High Uniformity under Thin Form Factor
by Yuan-Kai Zhou, Liang-Jhe Jian and Guo-Dung John Su
Crystals 2022, 12(12), 1815; https://doi.org/10.3390/cryst12121815 - 13 Dec 2022
Viewed by 1367
Abstract
We present a design of a non-imaging system based on a ray-tracing methodology. This system is mainly made of polycarbonate, while part of its surface is coated with metal. The Zemax® optical simulation tool was used to calculate the optimal parameters of [...] Read more.
We present a design of a non-imaging system based on a ray-tracing methodology. This system is mainly made of polycarbonate, while part of its surface is coated with metal. The Zemax® optical simulation tool was used to calculate the optimal parameters of this system, such as heights, widths, and angles. This design aims to improve the light distribution uniformity of blended red-green-blue mini light-emitting diodes. Our simulation results show that this design can achieve 93% light distribution uniformity in a 36 mm × 36 mm area, and the height of this design is less than 5 mm. Full article
(This article belongs to the Special Issue Design and Optimization of Optical System Structure)
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12 pages, 3529 KiB  
Article
Lens Design Method Prediction of Local Optimization Algorithm by Using Deep Learning
by Cheng-Mu Tsai, Pin Han, Hsin-Hung Lee and Chih-Ta Yen
Crystals 2022, 12(9), 1206; https://doi.org/10.3390/cryst12091206 - 27 Aug 2022
Cited by 1 | Viewed by 2106
Abstract
A design rule prediction is proposed to assist a lens design in this paper. Deep learning was applied in order to predict a lens design rule that is based on a local optimization algorithm. Three separate lens design rules related to the aperture [...] Read more.
A design rule prediction is proposed to assist a lens design in this paper. Deep learning was applied in order to predict a lens design rule that is based on a local optimization algorithm. Three separate lens design rules related to the aperture stop and FOV variation were made for the optimization in the two-lens element optical systems whose structural parameters were created randomly. These random lens structures were optimized by using three separate lens design rules that were developed by Zemax OpticStudio API to create a big optimization dataset. All of the optimization results were collected by means of a further deep learning process to determine which optimization rule would be the better choice for lens optimization when given the lens parameters. The model developed via deep learning shows that the prediction has a 78.89% accuracy in determining an appropriate optimization rule for an assistant lens design. Full article
(This article belongs to the Special Issue Design and Optimization of Optical System Structure)
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