Quantifying Smooth Muscles Regional Organization in the Rat Bladder Using Immunohistochemistry, Multiphoton...

Area of Science:

• Urology
• Biomedical Engineering
• Computational Biology

Background:

• Smooth muscle bundles (SMBs) are critical for bladder voiding function.
• Unlike skeletal muscle, bladder SMBs exhibit heterogeneous orientation, complicating biomechanical modeling.
• Accurate quantification of SMB orientation is essential for understanding bladder mechanics.

Approach:

• Developed a novel method using immunohistochemistry and multiphoton microscopy (MPM) to visualize SMBs.
• Employed a Random Forest classifier trained on various image filters for automated SMB segmentation.
• Quantified regional SMB orientation across the entire bladder using the CT-FIRE package without tissue clearing.

Key Points:

• Successfully quantified the regional orientation of bladder SMBs across the whole organ.
• Automated segmentation of SMBs achieved using advanced image processing and machine learning.
• The developed technique avoids the need for tissue clearing or cryosectioning, simplifying analysis.

Conclusions:

• The developed method provides an efficient and accurate way to map bladder SMB orientation.
• This quantitative data significantly advances the development of sophisticated biomechanical models of bladder function.
• The findings have implications for understanding bladder pathologies and developing targeted therapies.