全息术
计算机科学
数字全息显微术
鉴定(生物学)
计算机视觉
显微镜
显微镜
跟踪(教育)
人工智能
光学
物理
生物
心理学
教育学
植物
作者
Inkyu Moon,Mehdi Daneshpanah,Bahram Javidi,Adrian Stern
出处
期刊:Proceedings of the IEEE
[Institute of Electrical and Electronics Engineers]
日期:2009-06-01
卷期号:97 (6): 990-1010
被引量:97
标识
DOI:10.1109/jproc.2009.2017563
摘要
The ability to sense, track, identify, and monitor biological micro/nanoorganisms in a real-time, automated, and integrated system is of great importance from both scientific and technological standpoints. Such a system and its possible variants would have numerous applications in a wide spectrum of fields, including defense against biological warfare, disease control, environmental health and safety, and medical treatments. In this paper, we review a comprehensive mixture of optical and computational tools developed in our group aiming at real-time sensing and recognition of biological microorganisms. Digital in-line holographic microscopy is used with both coherent and partially coherent illumination to probe the specimen interferometerically. The interference pattern is then recorded on an optoelectronic image sensor and transferred to a computer where special statistical algorithms are performed to segment, recognize, and track the microorganisms within the field of view of the microscope. The advantages of proposed holographic sensing are described compared to conventional two-dimensional imaging systems. In addition, the theoretical aspects and fundamental limitations of digital in-line holographic microscopy are discussed, which determine the relationship between system parameters and achievable performance. The proposed optical-digital integrated system for automated, real-time sensing and recognition of biological microorganisms has been deemed promising with the potential of widespread application. We demonstrate how the proposed techniques function together in a series of experiments.
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