PUBLICATION
            GliaMorph: A modular image analysis toolkit to quantify Müller glial cell morphology
- Authors
- Kugler, E., Bravo, I., Durmishi, X., Marcotti, S., Beqiri, S., Carrington, A., Stramer, B.M., Mattar, P., MacDonald, R.B.
- ID
- ZDB-PUB-230111-1
- Date
- 2023
- Source
- Development (Cambridge, England) 150(3): (Journal)
- Registered Authors
- MacDonald, Ryan
- Keywords
- Development, Glia morphology, Müller glia, Retina, Zebrafish
- MeSH Terms
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                - Retina/metabolism
- Neuroglia/metabolism
- Neurons
- Ependymoglial Cells*
- Animals
- Mice
- Zebrafish*
 
- PubMed
- 36625162 Full text @ Development
            Citation
        
        
            Kugler, E., Bravo, I., Durmishi, X., Marcotti, S., Beqiri, S., Carrington, A., Stramer, B.M., Mattar, P., MacDonald, R.B. (2023) GliaMorph: A modular image analysis toolkit to quantify Müller glial cell morphology. Development (Cambridge, England). 150(3):.
        
    
                
                    
                        Abstract
                    
                    
                
                
            
        
        
    
        
            
            
 
    
    
        
    
    
    
        
                Cell morphology is critical for all cell functions. This is particularly true for glial cells as they rely on complex shape to contact and support neurons. However, methods to quantify complex glial cell shape accurately and reproducibly are lacking. To address this, we developed the image analysis pipeline "GliaMorph". GliaMorph is a modular analysis toolkit developed to perform (i) image pre-processing, (ii) semi-automatic region-of-interest (ROI) selection, (iii) apicobasal texture analysis, (iv) glia segmentation, and (v) cell feature quantification. Müller Glia (MG) have a stereotypic shape linked to their maturation and physiological status. We here characterized MG on three levels, including (a) global image-level, (b) apicobasal texture, and (c) regional apicobasal vertical-to-horizontal alignment. Using GliaMorph we quantified MG development on a global and single-cell level, showing increased feature elaboration and subcellular morphological rearrangement in the zebrafish retina. As proof-of-principle, we analysed expression changes in a mouse glaucoma model, identifying subcellular protein localization changes in MG. Together, GliaMorph enables an in-depth understanding of MG morphology in the developing and diseased retina.
            
    
        
        
    
    
    
                
                    
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