Human cortical amygdala dendrites and spines morphology under open-source three-dimensional reconstruction...

Area of Science:

• Neuroscience
• Cell Biology
• Histology

Background:

• Visualizing nerve cells is crucial for understanding brain structure and function.
• Studying human neuronal morphology, especially dendrites and spines, is challenging due to tissue complexity and postmortem sample processing.

Purpose of the Study:

• To develop and apply a method for 3D reconstruction of human neurons, focusing on dendritic morphology and spine diversity.
• To visualize the complex structures of dendrites and pleomorphic spines in human subcortical neurons.

Main Methods:

• Utilized the "single-section" Golgi method adapted for human brain tissue.
• Employed open-source software for 3D image reconstruction and neuronal tracing.
• Applied a supervised machine learning algorithm for image segmentation of dendritic spines.

Main Results:

• Generated high-quality 3D reconstructions of human neurons from the cortical amygdaloid nucleus.
• Visualized diverse dendritic branches and pleomorphic dendritic spines at various angles.
• Enhanced visualization of the spatial orientation and varied morphology of dendritic spines.

Conclusions:

• The adapted Golgi method combined with 3D reconstruction and machine learning provides a powerful tool for studying human neuronal morphology.
• This approach facilitates detailed analysis of dendritic complexity and spine heterogeneity in human neurons.
• The methodology is adaptable for other nervous system regions, techniques, and comparative interspecies analyses.