AI in Biomedical Imaging: Transforming Microscopy and Diagnostics

NYUAD Institute

This talk explores the use of deep neural networks in advancing computational microscopy and biomedical diagnostics. It highlights innovative methods for generating histological stains digitally, providing a faster, more cost-effective, and environmentally friendly alternative to traditional techniques. The discussion will cover virtual staining techniques that create various stains from label-free microscopic images and methods for transforming already stained images into different types. Additionally, it introduces AI-enabled paper-based sensors for quick and efficient biomarker detection using a mobile phone. Speaker Aydogan Ozcan, Chancellor’s Professor and the Volgenau Chair for Engineering Innovation, UCLA