| 基于智能手机平台的计算光学显微成像技术研究综述 |
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| 引用本文： | 张泽宇,范瑶,徐钦,陈雨舟,孙佳嵩,陈钱,左超.基于智能手机平台的计算光学显微成像技术研究综述[J].红外与激光工程,2022,51(2):20220095-1-20220095-36. |
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| 作者姓名： | 张泽宇 范瑶 徐钦 陈雨舟 孙佳嵩 陈钱 左超 |
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| 作者单位： | 南京理工大学 电子工程与光电技术学院，江苏 南京 210094 |
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| 摘 要： | 计算光学显微成像技术将光学编码和计算解码相结合，通过光学操作和图像算法重建来恢复微观物体的多维信息，为显微成像技术突破传统成像能力提供了强大的助力。这项技术的发展得益于现代光学系统、图像传感器以及高性能数据处理设备的优化，同时也被先进的通信技术和设备的发展所赋能。智能手机平台作为高度集成化的电子设备，具有先进的图像传感器和高性能的处理器，可以采集光学系统的图像并运行图像处理算法，为计算光学显微成像技术的实现创造了全新的方式。进一步地，作为可移动通信终端，智能手机平台开放的操作系统和多样的无线网络接入方法，赋予了显微镜灵活智能化操控能力与丰富的显示和处理分析功能，可用于实现各种复杂环境下多样化的生物学检测应用。文中从四个方面综述了基于智能手机平台的计算光学显微成像技术，首先综述了智能手机平台作为光学成像器件的新型显微成像光路设计，接下来介绍了基于智能手机平台先进传感器的计算光学高通量显微成像技术，然后介绍了智能手机平台的数据处理能力和互联能力在计算显微成像中的应用，最后讨论了这项技术现存在的一些问题及解决方向。
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| 关 键 词： | 智能手机平台 计算光学显微成像 无线传输 即时检验 |
| 收稿时间： | 2022-02-10 |
Review of computational optical microscopy imaging technology based on smartphone platform |
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| Zhang Zeyu,Fan Yao,Xu Qin,Chen Yuzhou,Sun Jiasong,Chen Qian,Zuo Chao.Review of computational optical microscopy imaging technology based on smartphone platform[J].Infrared and Laser Engineering,2022,51(2):20220095-1-20220095-36. |
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| Authors: | Zhang Zeyu Fan Yao Xu Qin Chen Yuzhou Sun Jiasong Chen Qian Zuo Chao |
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| Affiliation: | School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China |
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| Abstract: | Computational optical microscopy imaging technology combines optical encoding and computational decoding to retrieve multi-dimensional information of microscopic objects through optical manipulation and image algorithm reconstruction, providing a powerful boost for microscopy imaging technology to break through traditional imaging capabilities. The development of this technology has benefited from the optimization of modern optical systems, image sensors, and high-performance data processing equipment, and is also enabled by the development of advanced communication technologies and equipment. As a highly integrated electronic device, the smartphone platform has an advanced image sensor and a high-performance processor, which can collect the image of the optical system and run the image processing algorithm, creating a new way for the realization of computational optical microscopy imaging technology. Furthermore, as a mobile communication terminal, the open operating system and various wireless network access methods of the smartphone platform endow the microscope with flexible and intelligent control capabilities and rich display and processing analysis functions, which can be used to realize diversified biological detection applications in various complex environments. In this paper, the computational optical microscopy imaging technology based on the smartphone platform was reviewed from four aspects. First, the design of the new microscopic imaging optical path based on the smartphone platform as an optical imaging device was reviewed. Next, the computational optical high-throughput microscopy imaging technology based on the advanced sensor of the smartphone platform was introduced. Then, the application of the data processing and interconnection capabilities of the smartphone platform in computational microscopy imaging was introduced, and finally some of the existing problems and solutions of this technology were discussed. |
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