Du, Zhiqiang1,2,3; Xia, Chunlei2,3
; Fu, Longwen2,3; Zhang, Nan2; Li, Bowei2,3; Song, Jinming1,2,3,4; Chen, Lingxin1,2,3,4发表期刊SENSORS
2020-06-01
卷号20期号:12页码:21
关键词zooplankton monitoringmicroscopic imagingdark-field imagingillumination optimizationgenetic algorithm
DOI10.3390/s20123471
通讯作者Xia, Chunlei(clxia@yic.ac.cn)
英文摘要A cost-effective and low-power-consumption underwater microscopic imaging system was developed to capture high-resolution zooplankton images in real-time. In this work, dark-field imaging was adopted to reduce backscattering and background noise. To produce an accurate illumination, a novel illumination optimization scheme for the light-emitting diode (LED) array was proposed and applied to design a lighting system for the underwater optical imaging of zooplankton. A multiple objective genetic algorithm was utilized to find the best location of the LED array, which resulted in the specific illumination level and most homogeneous irradiance in the target area. The zooplankton imaging system developed with the optimal configuration of LEDs was tested withDaphnia magnaunder laboratory conditions. The maximal field of view was 16 mm x 13 mm and the optical resolution was 15 mu m. The experimental results showed that the imaging system developed could capture high-resolution and high-definition images ofDaphnia. Subsequently,Daphniaindividuals were accurately segmented and their geometrical characters were measured by using a classical image processing algorithm. This work provides a cost-effective zooplankton measuring system based on an optimization illumination configuration of an LED array, which has a great potential for minimizing the investment and operating costs associated with long-term in situ monitoring of the physiological state and population conditions of zooplankton.
资助机构National Natural Science Foundation of China; Natural Science Foundation of Shandong Province; Taishan Scholar Project Special Funding; Two-Hundred Talents Plan of Yantai
收录类别SCI
语种英语
关键词[WOS]PARTICLE-SIZE; UNIFORM ILLUMINATION; DAPHNIA-MAGNA; PLANKTON; RESOLUTION
研究领域[WOS]Chemistry; Engineering; Instruments & Instrumentation
WOS记录号WOS:000553916700001
引用统计被引频次：2[WOS][WOS记录][WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cnhttp://ir.yic.ac.cn/handle/133337/28602
专题中科院海岸带环境过程与生态修复重点实验室
中科院海岸带环境过程与生态修复重点实验室_海岸带环境工程技术研究与发展中心
通讯作者Xia, Chunlei作者单位1.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Marine Ecol & Environm Sci, Qingdao 266071, Peoples R China
2.Chinese Acad Sci, Res Ctr Coastal Environm Engn & Technol, Yantai Inst Coastal Zone Res, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China
3.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao 266071, Peoples R China
4.Pilot Natl Lab Marine Sci & Technol Qingdao, Lab Marine Ecol & Environm Sci, Qingdao 266237, Peoples R China
推荐引用方式
GB/T 7714Du, Zhiqiang,Xia, Chunlei,Fu, Longwen,et al. A Cost-Effective In Situ Zooplankton Monitoring System Based on Novel Illumination Optimization[J]. SENSORS,2020,20(12):21.
APADu, Zhiqiang.,Xia, Chunlei.,Fu, Longwen.,Zhang, Nan.,Li, Bowei.,...&Chen, Lingxin.(2020).A Cost-Effective In Situ Zooplankton Monitoring System Based on Novel Illumination Optimization.SENSORS,20(12),21.
MLADu, Zhiqiang,et al."A Cost-Effective In Situ Zooplankton Monitoring System Based on Novel Illumination Optimization".SENSORS 20.12(2020):21.
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