Overcoming large 3D microscopy imaging data with AI

Medical imaging generates an enormous amount of data that is impossible to manually analyze. With advances in artificial intelligence (AI) researchers are now looking at how this technology can be used to help manage and simplify the analysis of large 3D microscopy image datasets. In this SelectScience article, we speak with Jianxu Chen, head of the new Analysis of Microscopic BIOMedical Images (AMBIOM*) group at ISAS. Chen discusses how his group is developing scalable, AI-based image analysis algorithms to help support disease studies. Chen also explores some current trends in laboratories adopting AI and machine learning.