Shen Hua, Gao Jinming
School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China.
Department of Material Science and Engineering, University of California Los Angeles, Los Angeles, California, USA.
J Biophotonics. 2020 Jun;13(6):e202000013. doi: 10.1002/jbio.202000013. Epub 2020 Mar 10.
Having the least lenses, the significant feature of the singlet imaging system, helps the development of the portable and cost-effective microscopes. A novel method of monochromatic/color singlet microscopy, which is combined with only one aspheric lens and deep learning computational imaging technology, is proposed in this article. The designed singlet aspheric lens is an approximate linear signal system, which means modulation-transfer-function curves on all field-of-views (5 mm diagonally) are almost coincident with each other. The purpose of the designed linear signal system is to further improve the resolution of our microscope by using deep learning algorithm. As a proof of concept, we designed a singlet microscopy based on our method, which weighs only 400 g. The experimental data and results of the sample USAF-1951 target and bio-sample (the Equisetum-arvense Strobile L.S), prove that the performance of the proposed singlet microscope is competitive to a commercial microscope with the 4X/NA0.1 objective lens. We believe that our idea and method would guide to design more cost-effective and powerful singlet imaging system.
单透镜成像系统的显著特点是透镜数量最少，这有助于开发便携式且经济高效的显微镜。本文提出了一种新型的单色/彩色单透镜显微镜方法，该方法仅结合了一个非球面透镜和深度学习计算成像技术。所设计的单透镜非球面透镜是一个近似线性信号系统，这意味着在所有视场（对角线5毫米）上的调制传递函数曲线几乎相互重合。设计线性信号系统的目的是通过使用深度学习算法进一步提高我们显微镜的分辨率。作为概念验证，我们基于我们的方法设计了一种单透镜显微镜，其重量仅为400克。对美国空军1951靶标和生物样本（问荆孢子）的实验数据和结果证明，所提出的单透镜显微镜的性能与配备4X/NA0.1物镜的商用显微镜具有竞争力。我们相信，我们的想法和方法将指导设计更具成本效益和强大功能的单透镜成像系统。
