Study challenges assumptions about how tuberculosis bacteria grow
Peer-Reviewed Publication
Updates every hour. Last Updated: 30-Apr-2025 19:08 ET (30-Apr-2025 23:08 GMT/UTC)
Researchers have developed a novel deep-learning-powered, end-to-end metalens imaging system that addresses the limitations of traditional metalenses, such as chromatic and angular aberrations. By integrating a mass-produced metalens with an advanced image restoration framework driven by deep learning, the system achieves high-resolution, aberration-free, full-color imaging. This breakthrough combines scalable fabrication techniques with artificial intelligence to produce compact, efficient, and high-quality imaging systems suitable for a wide range of applications, from consumer electronics to virtual and augmented reality.