3D-Aligner: An advanced computational tool designed to correct image distortion in expansion microscopy for precise...

Area of Science:

• Microscopy
• Cell Biology
• Image Analysis

Background:

• Expansion Microscopy (ExM) offers cost-effective super-resolution imaging by physically expanding specimens.
• ExM is widely used in cell biology but faces challenges with sample drift during image acquisition.
• Existing experimental solutions for ExM sample drift are not universally effective.

Purpose of the Study:

• To develop a computational tool for correcting sample drift in Expansion Microscopy images.
• To enable precise three-dimensional image reconstruction and downstream quantification in ExM.
• To provide a user-friendly solution for a common challenge in ExM imaging.

Main Methods:

• Development of 3D-Aligner, an advanced image analysis software.
• Computational correction of drift in ExM images with varying expansion factors.
• Validation across diverse fluorescently labeled biological targets.

Main Results:

• 3D-Aligner effectively determines and corrects sample drift in ExM images.
• The tool demonstrates robustness across different expansion rates and biological samples.
• Drift correction precision was validated, highlighting its importance for accurate quantification.

Conclusions:

• 3D-Aligner provides a robust and user-friendly solution for ExM image drift correction.
• Accurate drift correction is crucial for precise 3D reconstruction and reliable quantification in ExM.
• This tool enhances the utility of ExM for cell biology research.