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您的检索式：作者名="Tong Dewen"
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| 1 | Freeform OST-HMD system with large exit pupil diameter and vision correction capability显示文摘Compactness and light weight,large exit pupil diameter and distance,small distortion for virtual image,and see-through light paths are pivotal factors to achieve a better,wearable experience of optical see-through headmounted displays(OST-HMDs).In addition,light efficiency of the virtual image light path is an important factor for heat dissipation in HMD devices.This paper presents a new type of OST-HMD optical system that includes three wedge-shaped freeform prisms and two symmetric lenses.Based on a 0.71 in.microdisplay,an OST-HMD prototype with a diagonal field of view(FOV)of 45.3°,an F-number(F/#)of 1.8,an exit pupil size of 12 mm×8 mm,and an eye relief of 18 mm is demonstrated.The maximum value of distortion of the final system is 0.6%and 0.4%for virtual image and see-through light path,respectively.The overall dimension of the optical system per eye is no larger than 30 mm(width)×40 mm(height)×14 mm(thickness),and the weight of the optical module including lenses,holder,and microdisplay is 12.8 g.The light efficiency of the virtual image light path is up to 50%higher than those of other OST-HMD optical solutions. | DEWEN CHENG JIAXI DUAN HAILONG CHEN HE WANG DANYANG LI QIWEI WANG QICHAO HOU TONG YANG WEIHONG HOU DONGHUA WANG XIAOYU CHI BIN JIANG YONGTIAN WANG | 2022 | Photonics Research2022，10，1： | 5 |
| 2 | Recent advances in the synthesis of artificial antigen and its application in the detection of pesticide residue 显示文摘 | Tong Dewen Hesheng Yang Wang Jinyi | 2007 | American Journal of Agricultural and Biological Science2007，2，2： | 1 |
| 3 | Swainsonine promotes apoptosis in human oesophageal squamous cell carcinoma cells in vitro and in vivo through activation of mitochondrial pathway显示文摘 | Zhaocai Li Yong Huang Feng Dong Wei Li Li Ding Gaoshui Yu Dan Xu Yuanyuan Yang Xingang Xu Dewen Tong | 2012 | Journal of Biosciences2012，，1： | 1 |
| 4 | FreeformNet:fast and automatic generation of multiple-solution freeform imaging systems enabled by deep learning显示文摘Using freeform optical surfaces in lens design can lead to much higher system specifications and performance while significantly reducing volume and weight.However,because of the complexity of freeform surfaces,freeform optical design using traditional methods requires extensive human effort and sufficient design experience,while other design methods have limitations in design efficiency,simplicity,and versatility.Deep learning can solve these issues by summarizing design knowledge and applying it to design tasks with different system and structure parameters.We propose a deep-learning framework for designing freeform imaging systems.We generate the data set automatically using a combined sequential and random system evolution method.We combine supervised learning and unsupervised learning to train the network so that it has good generalization ability for a wide range of system and structure parameter values.The generated network FreeformNet enables fast generation(less than 0.003 s per system)of multiple-solution systems after we input the design requirements,including the system and structure parameters.We can filter and sort solutions based on a given criterion and use them as good starting points for quick final optimization(several seconds for systems with small or moderate field-of-view in general).The proposed framework presents a revolutionary approach to the lens design of freeform or generalized imaging systems,thus significantly reducing the time and effort expended on optical design. | BOYU MAO TONG YANG HUIMING XU WENCHEN CHEN DEWEN CHENG YONGTIAN WANG | 2023 | Photonics Research2023，11，8： | 0 |
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