blog navigation

blog posts

  • Machine learning peeks into nano-aquariums

    Illinois researchers have linked electron microscope imaging and machine learning, making it much easier to study nanoparticles in action. The schematic shows how a neural network, middle, works as a bridge between liquid-phase electron microscope imaging, left, and streamlined data output, right. For more information visit, pubs.acs.org/doi/10.1021/acscentsci.0c00430.

     

     

     

    Illinois researchers have linked electron microscope imaging and machine learning, making it much easier to study nanoparticles in action. The schematic shows how a neural network, middle, works as a bridge between liquid-phase electron microscope imaging, left, and streamlined data output, right. For more information visit, pubs.acs.org/doi/10.1021/acscentsci.0c00430.

    Graphic courtesy ACS and the Qian Chen group

    Images

blog posts

  • To reach Qian Chen, call 217-300-1137; qchen20@illinois.edu.

    The paper “Machine learning to reveal nanoparticle dynamics from liquid-phase TEM videos” is available online and from the U. of I. News Bureau. DOI: 10.1021/acscentsci.0c00430.