AFM/CLSM data visualization and comparison using an open-source toolkit

Area of Science:

• Microscopy and imaging technologies
• Biophysical techniques
• Cellular and molecular biology

Background:

• Atomic force microscopy (AFM) and confocal laser scanning microscopy (CLSM) are complementary imaging techniques.
• Traditional data presentation methods for AFM (surface contours) and CLSM (surface/volume rendering) differ significantly, hindering direct comparison.
• A unified visualization platform is needed for effective analysis of biological systems imaged by both AFM and CLSM.

Purpose of the Study:

• To propose a simple, comparative, and intuitive visualization strategy for AFM and CLSM data.
• To facilitate the evaluation of cellular morphology using complementary imaging modalities.
• To enable direct comparison of AFM and CLSM datasets within an open-source environment.

Main Methods:

• Development of an ImageJ plug-in to import proprietary AFM and CLSM image datasets.
• Utilization of open-source ImageJ plug-ins, SurfaceJ and VolumeJ.
• Representation of both AFM and CLSM data as shaded elevation maps with color-coded height.

Main Results:

• A novel visualization technique was successfully implemented using ImageJ, SurfaceJ, and VolumeJ.
• The proposed method allows for a comparative and intuitive presentation of AFM and CLSM data.
• The technique was demonstrated by evaluating the 3D architecture of living chick dorsal root and sympathetic ganglia.

Conclusions:

• The developed visualization strategy provides a common platform for comparing AFM and CLSM data.
• This approach enhances the evaluation of cellular morphology by integrating complementary imaging information.
• The open-source nature of the solution promotes accessibility and further development in biological imaging analysis.