An analytical tool that quantifies cellular morphology changes from three-dimensional fluorescence images

Area of Science:

• Cellular and Molecular Imaging
• Biophysics
• Computational Biology

Background:

• Current 2D fluorescence image analysis tools require manual settings and struggle with complex cellular dynamics.
• Existing 3D analysis software often relies on predefined cell shapes or manual measurements, limiting the study of amorphous cell structures.
• There is a need for automated methods to quantify morphometric information from 3D fluorescence images of cells with undefined shapes.

Purpose of the Study:

• To develop an automated analytical platform for quantifying morphometric information from 3D fluorescence images of cells with undefined shapes.
• To overcome the limitations of current software in analyzing complex cellular structures and dynamics.
• To provide a user-friendly tool for researchers to quantify morphological changes in cell dynamics.

Main Methods:

• Development of an analytical platform using Imaris core software module and Imaris XT interfaced to MATLAB.
• Exploitation of intrinsic 3D data for automated analysis and quantification.
• Application to cells with undefined shapes and inconsistent fluorescence network components.

Main Results:

• The developed platform allows for 3D measurement of cells without a pre-defined shape.
• It enables the analysis of inconsistent fluorescence network components.
• The method facilitates quantification of morphological changes in cell dynamics for researchers with varying computer expertise.

Conclusions:

• The new analytical platform effectively quantifies 3D cellular spatial information for cells with undefined shapes.
• This automated approach overcomes limitations of existing software, enabling more comprehensive analysis of cellular dynamics.
• The tool empowers researchers to study complex cellular changes without extensive computational expertise.