Hollmann Joseph L, Dunn Andrew K, Dimarzio Charles A
Department of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts 02115, USA.
Opt Lett. 2004 Oct 1;29(19):2267-9. doi: 10.1364/ol.29.002267.
The growth of computing power has greatly improved our ability to extract quantitative information about complicated three-dimensional structures from microscope images. New hardware techniques are also being developed to provide suitable images for these tasks. However, a need exists for synthetic data to test these new developments. The work reported here was motivated by studies of embryo health, but similar needs exist across the field of microscopy. We report a rigorous computer model, based on Maxwell's equations, that can produce the required synthetic images for bright-field, differential interference contrast, interferometric imaging, and polarimetric imaging. After a description of the algorithm, sample results are presented, followed by a discussion of future plans and applications.
计算能力的提升极大地增强了我们从显微镜图像中提取复杂三维结构定量信息的能力。新的硬件技术也在不断发展，以提供适用于这些任务的图像。然而，需要合成数据来测试这些新进展。此处报告的工作是受胚胎健康研究的推动，但在显微镜学领域也存在类似需求。我们报告了一个基于麦克斯韦方程组的严格计算机模型，它可以为明场、微分干涉对比、干涉成像和偏振成像生成所需的合成图像。在描述了算法之后，展示了样本结果，随后讨论了未来计划和应用。
