A Cost-Effective In Situ Zooplankton Monitoring System Based on Novel Illumination Optimization

• Published in: Sensors (Basel, Switzerland) Vol. 20; no. 12; p. 3471
• Main Authors: Du, Zhiqiang, Xia, Chunlei, Fu, Longwen, Zhang, Nan, Li, Bowei, Song, Jinming, Chen, Lingxin
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 19.06.2020; MDPI
• Subjects: Algorithms; Animals; Cost-Benefit Analysis; dark-field imaging; Design; Digital cameras; genetic algorithm; illumination optimization; Image Processing, Computer-Assisted; Investigations; Light emitting diodes; Lighting; microscopic imaging; Plankton; Sensors; Zooplankton; zooplankton monitoring; genetic algorithm; illumination optimization; microscopic imaging; zooplankton monitoring; dark-field imaging
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s20123471

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 with Daphnia magna under laboratory conditions. The maximal field of view was 16 mm × 13 mm and the optical resolution was 15 μm. The experimental results showed that the imaging system developed could capture high-resolution and high-definition images of Daphnia. Subsequently, Daphnia individuals 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.