University of California San Diego Develops AI-Enhanced Microscopy for Real-Time Cellular Imaging
Engineers at the University of California San Diego have developed a new AI-enhanced microscopy technique that allows for real-time video imaging of live cells. This advancement, published in Nature Communications, utilizes an algorithm that significantly improves the speed and quality of image capture compared to traditional methods. The technique, known as unrolled blind-SIM (UBSIM), integrates artificial intelligence into the image reconstruction process, enabling the production of high-quality images at a much faster rate. This method builds on structured illumination microscopy (SIM), which is known for its ability to enhance image detail while minimizing light exposure to cells. The new approach addresses previous challenges with SIM, such as the need for precise calibration and slow image processing, by using AI to streamline the process and avoid introducing false details.