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High-resolution, non-invasive animal tracking and reconstruction of local environment in aquatic ecosystems
Summary
Researchers developed an open-source, affordable framework using computer vision and tracking algorithms to monitor animal behavior in aquatic environments at high resolution. The tool enables detailed behavioral studies across a wide range of species without requiring expensive commercial equipment.
This cost-effective and open-source framework allows the analysis of animal behaviour in aquatic systems at an unprecedented resolution. Implementing this versatile approach, quantitative behavioural analysis can be employed in a wide range of natural contexts, vastly expanding our potential for examining non-model systems and species.
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