Millisecond-scale behaviours of plankton quantified in vitro and in situ using the Event-based Vision Sensor.

ABSTRACT: The Event-based Vision Sensor (EVS) is a bio-inspired sensor that captures detailed motions of objects, aiming to become the 'eyes' of machines like self-driving cars. Compared to conventional frame-based image sensors, the EVS has an extremely fast motion capture equivalent to 10,000-fps even with standard optical settings, plus high dynamic ranges for brightness and also lower consumption of memory and energy. Here, we developed 22 characteristic features for analysing the motions of aquatic particles from the EVS raw data and tested the applicability of the EVS in analysing plankton behaviour. Laboratory cultures of six species of zooplankton and phytoplankton were observed, confirming species-specific motion periodicities up to 41 Hz. We applied machine learning to automatically classi

SUBMITTER: Takatsuka S 

PROVIDER: S-EPMC11349820 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature