Electron Microscopy Image Segmentation

Segmentation of electron microscope images is an important branch in the field of computer vision, focusing on dividing high-resolution images obtained by electron microscopy into multiple regions with specific meanings to achieve precise identification and analysis of cellular structures, tissue components, and other microscopic features. The goal of this technology is to enhance the automation level of image processing, reduce the time cost associated with manual annotation, and improve the accuracy and consistency of data. Segmentation of electron microscope images has broad application value in biomedical research, materials science, and nanotechnology, promoting in-depth scientific research and technological innovation.