Optics and Photonics for Information Processing XV最新文献

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Infrared technology: what is on the horizon? 红外技术:即将出现的是什么?
Optics and Photonics for Information Processing XV Pub Date : 2021-08-05 DOI: 10.1117/12.2600636
N. Dhar
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引用次数: 0
Methods for computing nanoparticle scattering for improved lens-free digital holographic imaging 改进无透镜数字全息成像中纳米粒子散射的计算方法
Optics and Photonics for Information Processing XV Pub Date : 2021-08-05 DOI: 10.1117/12.2594057
Maryam Baker, Weilin Liu, E. Mcleod
{"title":"Methods for computing nanoparticle scattering for improved lens-free digital holographic imaging","authors":"Maryam Baker, Weilin Liu, E. Mcleod","doi":"10.1117/12.2594057","DOIUrl":"https://doi.org/10.1117/12.2594057","url":null,"abstract":"The angular spectrum method (ASM) is commonly used for reconstructing images in digital holography for applications such as lens-free holography and metasurface design. The lack of Fraunhofer or Fresnel approximations and computational speed due to the fast Fourier transform makes ASM a competitive field propagation method. Using a thin-object approximation, ASM can also efficiently compute fields over large areas, enabling faster calculations than those using other methods such as finite difference time domain or Mie theory. However, thin-object approximations are not accurate for nanoscale objects and so ASM is currently unable to accurately recover nanoscale object information. Here we test three ASM transmission models that use a scalar description to model the interaction of a plane wave with a plane of randomly assembled nanoparticles and evaluate the accuracy of each against the discrete dipole method (DDA). Random distributions of nanoparticles are often used in super-resolution, sub-diffraction limit, or specialized sensing applications as they are easy to place. We study the performance of the three transmission models for gold and polystyrene nanospheres of 30 nm, 60 nm, and 100 nm in diameter for different particle densities. The performance of the models is evaluated against simulations using DDA, which is validated against Mie theory calculations, for the same configurations. We show transmission models in ASM that perform within 20% accuracy of the fields calculated using DDA.","PeriodicalId":196627,"journal":{"name":"Optics and Photonics for Information Processing XV","volume":"07 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129175393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optical convolutional neural network accelerator for machine learning 用于机器学习的光学卷积神经网络加速器
Optics and Photonics for Information Processing XV Pub Date : 2021-08-01 DOI: 10.1117/12.2593093
V. Sorger
{"title":"Optical convolutional neural network accelerator for machine learning","authors":"V. Sorger","doi":"10.1117/12.2593093","DOIUrl":"https://doi.org/10.1117/12.2593093","url":null,"abstract":"","PeriodicalId":196627,"journal":{"name":"Optics and Photonics for Information Processing XV","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133618197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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