Abstract: Artificial intelligence (AI) is revolutionizing the field of microscopy, offering unprecedented speed, accuracy, and scalability in image processing workflows essential for life science research. In this talk, I will explore how advanced AI-driven toolkits are accelerating microscopy image processing and analysis, making complex datasets more accessible and interpretable for life scientists in the context of functional precision medicine.

Biography: Tingying Peng (b. 1984) conducts research on AI for microscopy image analysis. The mission of her Helmholtz Young Investigator group is to create new AI methods to help life scientists and pathologists analyse microscopic images more quantitatively and efficiently, allowing them to extract more knowledge. Her group has worked on various microscopy imaging types, including histopathological images for computational pathology, classic brightfield and fluorescence images, and more advanced ones, such as Cryo-ET, 3D light-sheet microscopy and, extended depth-of-field (EDOF) microscope with “Electrically Tunable Lenses”.