SINTEF Ocean AS, Brattørkaia 17C, 7010 Trondheim, Norway
SINTEF Ocean AS, Brattørkaia 17C, 7010 Trondheim, Norway.
J Exp Biol. 2018 Sep 6;221(Pt 17):jeb183277. doi: 10.1242/jeb.183277.
Machine vision represents an accurate and easily verifiable method for observing live organisms and this technology is constantly evolving in terms of accessibility and cost. Motivated by the complexity of observing small-sized aquatic organisms in experimental systems, and the difficulties related to real-time observation, sampling and counting without interfering with the organisms, we here present a new method for observing behaviour and dispersion of non-sessile zooplankton organisms using a custom-made tank with an associated machine vision system. The system was used in an experiment where the aim was to assess the effect of sound and ultrasound on the phototactic behaviour of copepodite stages of the salmon louse (). The experimental set-up is described, including a triangular test tank designed to create a sound pressure gradient, a mechanized camera movement system and a vision system with dedicated image processing software.
机器视觉是一种准确且易于验证的活体观察方法，该技术在可用性和成本方面不断发展。由于在实验系统中观察小型水生生物的复杂性，以及在不干扰生物的情况下进行实时观察、采样和计数的困难，我们在这里提出了一种使用定制水箱和相关机器视觉系统观察非固着浮游动物行为和分散的新方法。该系统用于一项实验，旨在评估声音和超声波对鲑鱼虱若虫阶段趋光行为的影响。描述了实验装置，包括设计用于创建声压梯度的三角形测试水箱、机械化相机运动系统和带有专用图像处理软件的视觉系统。
