Whole-brain single-neuron projectome is crucial for unraveling the organization principles of the brain. However, imaging data generated by state-of-the-art light microscopy for a single mouse brain exceed terabytes, while the data for a single macaque brain approach petabytes (PB). Large-scale neuron reconstruction from such large datasets is a daunting task. In this talk, I will describe our approach to reconstruct and analyze the single-neuron projectomes in mouse and macaque brains.In the past, we developed a highly efficient neuron tracing tool, Fast Neurite Tracer (FNT), by which the largest datasets of single-neuron projectomes in mouse brains have been mapped. We recently developed ‘Gapr’ combining deep learning-based automatic reconstructionand high-throughput collaborative proof-reading. Furthermore, Gapr can readily handle the data size of petabyte scale, paving the way for the mapping of single-neuron projectomes of primate brains. Finally, we will use prefrontal cortex (PFC) as an example to demonstrate how cross-species comparison of single-neuron projectomes between mouse and macaque reveal the primate-specific organization principles of the brain. 

More information:

• http://english.cebsit.cas.cn/lab/yanjun/people/