Computational Optics 2021最新文献

Computational Optics 2021 Pub Date : 2021-10-19 DOI: 10.1117/12.2615037

引用次数: 0

Demonstrating a model-based edge detection and the impact of the illumination pupil’s discretization in optical microscopy 展示了一种基于模型的边缘检测和光学显微镜中照明瞳孔离散化的影响

Computational Optics 2021 Pub Date : 2021-09-12 DOI: 10.1117/12.2600086

J. Krüger, R. Köning, B. Bodermann

引用次数: 0

Combined optimization, modeling and simulation techniques for non-traditional, next generation optics 结合优化，建模和仿真技术的非传统，下一代光学

Computational Optics 2021 Pub Date : 2021-09-12 DOI: 10.1117/12.2597190

M. Novak, B. Stone, Chenglin L. Xu

引用次数: 2

Imaging anisotropy with vectorial Fourier ptychography 矢量傅里叶平面成像的各向异性

Computational Optics 2021 Pub Date : 2021-09-12 DOI: 10.1117/12.2598999

Shiqi Xu, Xiang Dai, Xi Yang, Kevin C Zhou, P. Konda, R. Horstmeyer

{"title":"Imaging anisotropy with vectorial Fourier ptychography","authors":"Shiqi Xu, Xiang Dai, Xi Yang, Kevin C Zhou, P. Konda, R. Horstmeyer","doi":"10.1117/12.2598999","DOIUrl":"https://doi.org/10.1117/12.2598999","url":null,"abstract":"Microscopic imaging of anisotropic samples has many important applications in cytopathology. The endogenous contrast from the polarization properties of a specimen, such as its birefringence, provides valuable diagnostic information for several deadly diseases, including cardiac amyloidosis and squamous cell carcinoma, for example. In the past, polarized light microscopy (PLM) has been widely used as a diagnostic tool during the clinical review. However, in analogy with the standard microscope, the PLM typically has a restricted spatial-bandwidth product (SBP). As a consequence, one can either image a large area with low resolution or see the details of a very small area of the sample at the resolutions required for accurate analysis. To address the SBP issue of the PLM, we propose a computational microscopy method, termed vectorial Fourier ptychography, to illuminate the specimen with polarized light from different angles and detects different polarization states of the diffracted light. By illuminating a specimen with plane waves from different angles, our vectorial Fourier ptychography method effectively modulates the high-spatial-frequency components of the specimen into lower frequencies that can be detected by the optical system. With a Jones calculus-based forward model and a second-order phase retrieval method, we can reconstruct high-resolution, wide field-of-view(FOV) amplitude, phase, birefringence, retardance, and diattenuation of the specimen. To assess the reconstruction accuracy of our method, we imaged polystyrene beads submerged in immersion oils of different refractive index, as well as monosodium urate crystals. Further, To validate the diattenuation reconstruction accuracy, we reconstruct a USAF resolution test chart with a half blocked by a linear polarizer. These experiments confirm quantitatively accurate reconstruction results with a 1.25 um full-pitch resolution over a FOV of 6.6 x 4.4 mm^2, which is 5 times higher than the native (brightfield) resolution of the non-computational optical system. Finally, we demonstrate our technique by producing high SBP polarization images of several anisotropic biologic samples, includes collagen tissue, congo red stained cardiac tissue, and a bean root sample.","PeriodicalId":431264,"journal":{"name":"Computational Optics 2021","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129958640","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: 2

Missing frequency recovery through ptychography 缺失频率恢复通过平面摄影

Computational Optics 2021 Pub Date : 2021-09-12 DOI: 10.1117/12.2597060

A. Dejkameh, I. Mochi, R. Nebling, Hyun-su Kim, Tao Shen, Y. Ekinci

{"title":"Missing frequency recovery through ptychography","authors":"A. Dejkameh, I. Mochi, R. Nebling, Hyun-su Kim, Tao Shen, Y. Ekinci","doi":"10.1117/12.2597060","DOIUrl":"https://doi.org/10.1117/12.2597060","url":null,"abstract":"High-resolution imaging at short wavelengths from extreme ultraviolet to hard X-rays has many applications in a plethora of fields from astronomy to biology and semiconductor metrology. Unfortunately, efficient optics for these wavelengths are difficult to manufacture or have limited resolution. For this reason, in the past few years, coherent diffraction imaging (CDI) applications become widely used. In CDI, the object is illuminated by a coherent beam and the diffraction intensity is collected by a 2D pixel detector. In this process, the phase information of the diffracted light is lost. A phase retrieval algorithm is then used to reconstruct the object’s complex amplitude. Ptychography is a scanning version of coherent diffraction imaging and it is based on an iterative reconstruction algorithm that relies on the quality of the recorded diffraction intensity to converge. To obtain diffraction patterns with a high signal-to-noise ratio, a beam stop is used in many ptychography setups to avoid over-saturation and blooming effects on the detector. While using a beam stop in a ptychography setup has become common practice, the limits of affordable data loss due to beam stop have not been systematically investigated. Pixel masking is the conventional method to recover the lost frequencies. In this method, when enforcing the Fourier domain constraint, the invalid pixels are ignored. In the missing data region, the algorithm is allowed to keep the guess from the previous iteration. The illumination conditions of the ptychography experiment play a critical role in the signal recovery procedure. The diffraction pattern on the detector is the convolution of the Fourier transform of the object and the illumination. An illumination with a finite numerical aperture encodes the object information over a larger detector area. This makes the reconstruction algorithm more robust to pixel loss. We provide simulation and experimental results to demonstrate this theory.","PeriodicalId":431264,"journal":{"name":"Computational Optics 2021","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132838847","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

Accurate prediction of EUV lithographic images using data-efficient generative networks 使用数据高效生成网络的EUV光刻图像的准确预测

Computational Optics 2021 Pub Date : 2021-09-12 DOI: 10.1117/12.2597309

Abdalaziz Awad, Philipp Brendel, Dereje S. Woldeamanual, A. Rosskopf, A. Erdmann

{"title":"Accurate prediction of EUV lithographic images using data-efficient generative networks","authors":"Abdalaziz Awad, Philipp Brendel, Dereje S. Woldeamanual, A. Rosskopf, A. Erdmann","doi":"10.1117/12.2597309","DOIUrl":"https://doi.org/10.1117/12.2597309","url":null,"abstract":"We implement a data efficient approach to train a conditional generative adversarial network (cGAN) \u0000to predict 3D mask model aerial images, which involves providing the cGAN with approximated 2D mask model images as inputs and 3D mask model images as outputs. This approach takes advantage of the similarity between the images obtained from both computation models and the computational efficiency of the 2D mask model simulations, which allows the network to train on a reduced amount of training data compared to approaches previously implemented to accurately predict the 3D mask model images. We further demonstrate that the proposed method provides an accuracy improvement over training the network with the mask pattern layouts as inputs. \u0000Previous studies have shown that such cGAN architecture is proficient for generalized and complex image-to-image translation tasks. In this work, we demonstrate that adjustments to the weighing of the generator and discriminator losses can significantly improve the accuracy of the network from a lithographic standpoint Our initial tests indicate that only training the generator part of the cGAN can be beneficial to the accuracy while further reducing computational overhead. The accuracy of the network-generated 3D mask model images is demonstrated with low errors of typical lithographic process metrics, such as the critical dimensions and local contrast. The networks predictions also yield substantially reduced the errors compared to the 2D mask model while being on the same level of low computational demands.","PeriodicalId":431264,"journal":{"name":"Computational Optics 2021","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124748059","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

Welcome and Introduction to Conference 11875 会议11875的欢迎和介绍

Computational Optics 2021 Pub Date : 2021-09-12 DOI: 10.1117/12.2613784

Daniel G. Smith, F. Wyrowski, A. Erdmann

引用次数: 0