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        海洋浮游生物观测是海洋环境监测和海洋科学研究的基础。先进院团队已经开发了一种新型的浮标基原位浮游生物成像仪技术。通过结合光学成像、仪器工程、人工智能和物联网技术，原位成像仪可以长时间在水下自动采集活体浮游生物的高质量水下图像，并利用无线网络将图像数据传输至陆地，进而对浮游生物图像识别分类。我们希望这一技术不仅可用于生物多样性和渔业资源调查、赤潮和有害藻华监测、滨海核电站冷源安全、外来物种入侵监测等应用，还可部署于浮标观测网、海底观测网和水下机器人等海洋观测平台，为未来的海洋观测和科学研究提供支持。

   Observation of plankton is indispensable for the safety of the marine environment and marine scientific research. We have developed an in situ plankton imager that can work autonomously under a buoy. By combining optical imaging, instrument engineering, artificial intelligence and the internet of things, the instrument can automatically capture high-quality underwater images of live plankton for a long time, transmit image data through 4G cellphone network, and recognize the plankton taxa. We hope the technology can not only be used for surveys of marine biodiversity and fishery resources, monitoring of red-tide and algal blooms, clogging species breakout near coastal nuclear power plant, and alien species invasion, but can also be used for ocean observation platforms such as buoy monitoring networks, seafloor observatory networks and AUVs, serving ocean observation and scientific research in the future.