Studying Neuronal Biology Using Spinning Disc Confocal Microscopy.
Javier Manzella-Lapeira1, Joseph Brzostowski1, Jenny Serra-Vinardell2
1Twinbrook Imaging Facility, Laboratory of Immunogenetics, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA.
Methods in Molecular Biology (Clifton, N.J.)
|May 24, 2021
Summary
This study presents a live-cell imaging protocol to assess neuronal morphology in induced pluripotent stem cell-derived glutamatergic neurons. The method uses spinning disk confocal microscopy to analyze neurite branching and length, aiding in understanding neurological diseases.
Area of Science:
- Neuroscience
- Cell Biology
- Genetics
Background:
- Neuronal complexity and function depend on cytoskeletal integrity.
- Mutations in genes affecting the cytoskeleton are linked to inherited neurological disorders.
- Studying these disorders is challenging due to the complex morphology of cultured neurons.
Purpose of the Study:
- To establish a live-cell imaging protocol for evaluating neuronal morphology.
- To assess neurite branching and length in iPSC-derived glutamatergic neurons.
- To provide a method adaptable for studying various neuronal cell lines.
Main Methods:
- Utilizing spinning disk confocal microscopy for live-cell imaging.
- Employing image analysis tools to quantify neurite parameters.
- Focusing on induced pluripotent stem cell (iPSC)-derived glutamatergic neurons expressing fluorescent proteins.
Main Results:
- The protocol successfully visualizes and quantifies neurite branching and length.
- Demonstrates the morphological consequences of cytoskeletal alterations in neurons.
- Provides a robust method for analyzing neuronal structure in real-time.
Conclusions:
- Live-cell imaging with spinning disk confocal microscopy is effective for studying neuronal morphology.
- This protocol aids in understanding the impact of genetic mutations on neuronal structure.
- The method is adaptable for diverse research applications in neurobiology and disease modeling.


