Revolutionizing Imaging: Deep Learning Meets Optics

This chapter explores the integration of deep learning with optics, focusing on advancements in computational imaging and sensing for applications in biomedicine and environmental monitoring. It highlights the transition from traditional reconstruction methods to innovative, data-driven approaches using neural networks, particularly in holographic image reconstruction. The discussion emphasizes the potential of optical neural networks and their implications for enhancing imaging capabilities, including simultaneous capture of amplitude and phase information.