CryoVIA: An image analysis toolkit for the quantification of membrane structures from cryo-EM micrographs

Area of Science:

• Structural biology
• Biophysics
• Cell biology

Background:

• Cryo-electron microscopy (cryo-EM) is vital for visualizing lipid structures and protein complexes.
• Quantitative analysis of membrane structures from cryo-EM data is challenging and time-consuming, especially for large datasets.

Purpose of the Study:

• To introduce CryoVIA, an automated software toolkit for parametrizing lipid structures from large cryo-EM datasets.
• To enable large-scale, automated analysis of membrane properties from cryo-EM images.

Main Methods:

• CryoVIA combines image segmentation and structure identification.
• It automates the analysis of local and global membrane properties (e.g., thickness, size, curvature).
• Includes membrane shape classification and analysis of diverse lipid compositions and protein-induced changes.

Main Results:

• CryoVIA successfully parametrizes lipid structures in large cryo-EM datasets.
• Automated analysis of membrane properties like thickness, size, and curvature is achieved.
• Demonstrated utility with various lipid compositions and ESCRT-III protein-induced membrane remodeling.

Conclusions:

• CryoVIA offers a streamlined approach for quantitative analysis of membrane structures from cryo-EM images.
• The toolkit facilitates systematic studies of membrane structural properties and their modifications.
• Opens new avenues for investigating lipid-protein interactions and membrane dynamics.