3D tracking algorithm for Neocaridina davidi in a dual camera system

Abstract

Animal testing has faced increasing restrictions due to ethical concerns, driving the search for alternative models aligned with the 3Rs principle (Replacement, Reduction, and Refinement). Invertebrates offer a promising alternative, yet their behavior remains largely unexplored. Among them, Neocaridina davidi is a promising individual due to its small size, transparency, ease of maintenance, and rapid reproduction, making it suitable for behavioral and biomedical studies. This work presents a 3D tracking system for N. davidi in a simulated wild-type environment, using a dual-camera setup and a 3D Object Tracking Algorithm. To evaluate the algorithm, synthetic data were generated, simulating shrimp movement as recorded by the camera system. This approach enables assessing the algorithm’s ability to extract locomotion dynamics, inter-individual interactions, and environmental responses. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.