Super-multicolor labeling for automatic reconstruction of neuronal circuits
Graduate School of Medical Sciences,
Recent progress in connectomics has expanded throughput in image acquisition, but manual data analysis is the rate-limiting step. In this project, we aim to develop a new framework for light microscopy-based connectomics. More specifically, we will develop a super-multicolor labeling system for automatic reconstruction of neuronal circuits.