Institutional Repository of Key Laboratory of Marine Ecology & Environmental Sciences, CAS
| A Cost-Effective In Situ Zooplankton Monitoring System Based on Novel Illumination Optimization | |
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
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| 2020-06-01 | |
| Source Publication | SENSORS
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| Volume | 20Issue:12Pages:21 |
| Corresponding Author | Xia, Chunlei(clxia@yic.ac.cn) |
| Abstract | 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. |
| Keyword | zooplankton monitoring microscopic imaging dark-field imaging illumination optimization genetic algorithm |
| DOI | 10.3390/s20123471 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China[41406112] ; National Natural Science Foundation of China[41776110] ; Natural Science Foundation of Shandong Province[ZR2019BD066] ; Taishan Scholar Project Special Funding[ts20190962] ; Two-Hundred Talents Plan of Yantai |
| WOS Research Area | Chemistry ; Engineering ; Instruments & Instrumentation |
| WOS Subject | Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation |
| WOS ID | WOS:000553916700001 |
| Publisher | MDPI |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.qdio.ac.cn/handle/337002/168100 |
| Collection | 海洋生态与环境科学重点实验室 |
| Corresponding Author | Xia, Chunlei |
| Affiliation | 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 |
| First Author Affilication | Key Laboratory of Marine Ecology & Environmental Sciences, CAS; Center for Ocean Mega-Science, Chinese Academy of Sciences |
| Corresponding Author Affilication | Center for Ocean Mega-Science, Chinese Academy of Sciences |
| Recommended Citation GB/T 7714 | Du, 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. |
| APA | Du, 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. |
| MLA | Du, Zhiqiang,et al."A Cost-Effective In Situ Zooplankton Monitoring System Based on Novel Illumination Optimization".SENSORS 20.12(2020):21. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| A Cost-Effective In （6168KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View | |
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