Glia Cell Morphology Analysis Using the Fiji GliaMorph Toolkit.

Area of Science:

• Neuroscience
• Cell Biology
• Bioimaging

Background:

• Glial cells, particularly Müller glia (MG) in the retina, possess complex morphologies vital for neuronal support.
• Quantifying intricate glial cell structures at a sub-cellular level in 3D is technically challenging.
• Understanding glial morphology is critical for elucidating nervous system function.

Purpose of the Study:

• To introduce GliaMorph, a Fiji-based macro toolkit for comprehensive 3D analysis of glial cell morphology.
• To provide a user-friendly workflow for processing and quantifying glial cell structures in retinal tissues.
• To facilitate reproducible and detailed morphological assessments of glial cells.

Main Methods:

• Development of GliaMorph, a modular toolkit within Fiji for 3D image analysis.
• Implementation of graphical user interfaces for ease of use in setup, data understanding, and segmentation.
• Detailed protocols for pre-processing microscopy data (AiryScan and confocal), image segmentation, and 3D quantification of MG features.

Main Results:

• GliaMorph enables robust 3D analysis of glial cell morphology in developing and mature retinas.
• The toolkit includes modules for data quality assessment, image enhancement, and segmentation.
• Quantitative analysis of MG features, including apicobasal texture, is achievable with GliaMorph.
• Example data and comprehensive guides are provided to ensure accessibility and adoption.

Conclusions:

• GliaMorph offers a powerful and adaptable solution for 3D glial cell morphology analysis.
• The toolkit addresses the challenge of quantifying complex glial structures in neural tissues.
• GliaMorph can be customized for morphological analysis of various glial and neuronal cell types.
• This work enhances the ability to study the relationship between glial structure and function.