Machine learning-based segmentation of the rodent hippocampal CA2 area from Nissl-stained sections.

ABSTRACT: The hippocampus is a center of learning, memory, and spatial navigation. This region is divided into the CA1, CA2, and CA3 areas, which are anatomically different from each other. Among these divisions, the CA2 area is unique in terms of functional relevance to sociality. The CA2 area is often manually detected based on the size, shape, and density of neurons in the hippocampal pyramidal cell layer, but this manual segmentation relying on cytoarchitecture is impractical to apply to a large number of samples and dependent on experimenters' proficiency. Moreover, the CA2 area has been defined based on expression pattern of molecular marker proteins, but it generally takes days to complete immunostaining for such proteins. Thus, we asked whether the CA2 area can be systematically segmented ba

SUBMITTER: Takeuchi Y 

PROVIDER: S-EPMC10336234 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature