Engineering and Technology

Deep-learning-based image segmentation integrated with optical microscopy for automatically searching for two-dimensional materials

S. Masubuchi, E. Watanabe, et al.

This innovative research conducted by Satoru Masubuchi and colleagues showcases a deep-learning-based image segmentation algorithm that integrates seamlessly with an autonomous robotic system, revolutionizing the automated search and cataloging of 2D materials. With the robust Mask-RCNN neural network and advanced microscopy, this technology promises to enhance efficiency in 2D material research like never before.