Computational Microscopy is at the intersection of computer science and optics, and extends the capabilities of the classical optical microscopy with the help of advanced computing and AI-driven methods. 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. Among microscopies, Quantitative Phase Imaging (QPI) is one of the most explored, as it encoded bio-physical information of imaged samples through the measurement of the refractive index. Since 2008, I worked across this topic, mainly focusing on Holographic/Tomographic Microscopy, Fourier Ptychographic microscopy and recently exploring new QPI solutions (e.g. Transport of Intensity).
This seminar will focus on a brief overview about my expertise and experiences in the above fields and envisioning how to integrate them within the existing IMM research lines.