Computational Microscopy is at the intersection of computer science and optics, and extends the capabilities of the classical optical microscopy with the help of computation. In particular, the complexity of imaging systems moves from the optical arrangements to the computational schemes, which mainly consists into the smart manipulation of raw data to achieve high-quality imaging capabilities. In recent years, I established the “Computational Microscopy” research line @ISASI, mainly focused on computational methodologies, including Artificial Intelligence tools, for advanced quantitative phase imaging (e.g. holographic/tomographic microscopy and Fourier Ptychographic Microscopy).

The seminar aims to introduce the main data analysis tools developed under the Computational Microscopy research line and how these have been adapted and used in the context of cells' characterization through translations and rotations in Electro-rotation (ER) and Dielectrophoretic (DEP) studies within the collaboration with STLab and UniCT under the Samothrace project. Therefore, a particular emphasis will be placed on algorithms for cells’ dynamic motion under DEP/ER (i.e. tracking + rotation) with the challenge focus on video-rate data analysis.