Knowledge-Based Morphology Quantification of STED Dendritic Spine Images

摘要

Automated quantification of dendritic spine morphology plays an important role in neurobiological research. We present in this paper a novel approach that combines prior knowledge and morphological operators to separate, reconstruct and finally quantify key attributes of stimulated emission depletion microscopy dendritic spine images. The proposed image quantification process is fully automated. Experiment results show its efficiency in handling difficult aspects of neuroimaging analysis.