A deep learning based method for large-scale classification registration and clustering of in-situ hybridization experiments in the mouse olfactory bulb

摘要

Background:The Allen Mouse Brain Atlas allows study of the brain’s molecular anatomy at cellular scale, for thousands genes. To fully leverage this resource, one must register histological images of brain tissue-a task made challenging by the brain’s structural complexity and heterogeneity, as well as inter-experiment variability.