AI駆動型超解像顕微鏡:ナノスケール細胞イメージングにおける革命
関連する実験動画
Updated: Jan 7, 2026

Super-Resolution Live Cell Imaging of Subcellular Structures
Published on: January 13, 2021
Sen Li1,2, Xiangjie Meng1,2, Bo Zhou3
1School of Biomedical Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, China.
Abstract:
Super-resolution microscopy (SRM) has revolutionized nanoscale cellular imaging, providing detailed insights into cellular architecture, organelle organization, molecular interactions and subcellular dynamics. Artificial intelligence (AI) has shown its transformative potential for improving SRM to advance our understanding of complex cellular structures and dynamics. This Review begins by offering a comprehensive overview of AI techniques in computer vision, focusing on their application to SRM. Additionally, this Review provides a thorough summary of publicly available code and datasets that can support the development and evaluation of AI-empowered SRM. Notably, many AI techniques in the domain of computer vision remain underexplored in SRM. The ongoing evolution of AI promises to unlock new potential in SRM, and the integration of cutting-edge AI technologies is poised to pioneer breakthroughs in nanoscale cellular imaging.
関連する概念動画
Super-resolution Fluorescence Microscopy
Overview of Electron Microscopy

