Abstract
Neuron morphological reconstruction is the momentousness in the study of brain connectome which can extract the types of neurons and the connection patterns on the micron scale. Due to the vast data volume of neurons, complex neuron structure and the reconstruction of neuron population, the reconstruction of neuron is challenging. This paper reviews the current research status of neuron reconstruction. The state-of-the-art optimization algorithms in neuron reconstruction methods are summarized. We divide the process of neuron reconstruction into three steps based on the function of the optimization algorithm, which is branch tracing, branch merging and branch adjustment. What's more, we propose a framework of the optimization algorithm and decompose the objective functions into internal energy terms and external energy terms.