Nir Shavit

SmartEM accelerates electron microscopy image acquisition by using machine learning to intelligently allocate imaging time, achieving up to 7-fold speedup in connectomic samples.

MExConn is a multi-expert U-Net framework for segmenting multiple organelles in EM images, outperforming baselines and offering mechanistic interpretability.

The paper analyzes connectomics data from the mouse visual cortex to identify structural and functional differences between border regions, finding that the V1-RL border has unique connectivity and activity patterns.

This study uses connectomics to show how brain circuits change with age in C. elegans, revealing principles of brain maturation through structural and functional remodeling.