The research group Numerical Methods and Applications (NuMA) at UC3M focuses on developing, analyzing, and implementing numerical methods to address challenges at the intersection of mathematics, science/engineering, and high-performance scientific computing.
In this project, we develop advanced imaging techniques to better understand animal behavior in their natural environments. To achieve this, we propose: (i) customized light-sheet microscopy (LSM) hardware and software tailored for imaging small animals in the wild, (ii) mathematical algorithms designed to capture images in cluttered or complex media, and (iii) computational models to analyze and interpret behavioral patterns from the acquired data. Our work explores compressive sensing and machine learning algorithms, which have recently shown significant promise in addressing these challenges.