Fusing multimodal microscopy data for improved cell boundary estimation and fluorophore localization of Pseudomonas...

Area of Science:

• Microbiology
• Cell Biology
• Biophysics

Background:

• Biological imaging generates diverse data, necessitating integrated analysis for comprehensive cellular understanding.
• Accurate cell boundary determination is crucial for studying bacterial processes like type VI secretion system (T6SS) function.

Purpose of the Study:

• To develop a computational procedure for fusing data from yellow fluorescence protein excitation and differential interference contrast microscopy.
• To enhance the estimation of Pseudomonas aeruginosa (P. aeruginosa) cellular boundaries and T6SS localization.

Main Methods:

• Approximating cell shape using an ellipse.
• Constructing a penalized objective function integrating data from two imaging modalities.
• Minimizing the objective function to derive an elliptical cell boundary approximation.

Main Results:

• The proposed method successfully combines fluorescence and DIC microscopy data.
• Elliptical approximations of P. aeruginosa cell boundaries were generated using fused data.
• Improved localization of the T6SS on the estimated cell boundary was achieved compared to using single data sources.

Conclusions:

• Combining fluorescence and DIC microscopy provides a more accurate representation of P. aeruginosa cell boundaries.
• This integrated approach enhances the spatial localization of bacterial components like the T6SS.
• The developed procedure offers a valuable tool for analyzing multimodal biological imaging data.