ProDiVis: a method to normalize fluorescence signal localization in 3D specimens

Area of Science:

• Cell Biology
• Microscopy
• Bioimaging

Background:

• Confocal microscopy faces signal attenuation in 3D specimens, impacting fluorescence intensity and depth-dependent signal detection.
• This signal loss hinders accurate interpretation of protein distribution within complex 3D cellular structures.
• Accurate visualization of fluorophore signals is crucial for understanding cellular processes.

Purpose of the Study:

• To develop a computational tool for correcting depth-dependent fluorescence signal loss in confocal microscopy.
• To improve the visualization and interpretation of differential protein localization in 3D cell clusters.
• To provide an accessible and unbiased method for analyzing fluorescence microscopy data.

Main Methods:

• Developed ProDiVis, a visualization program that normalizes fluorescent signals against a reference signal at each focal plane.
• Utilized widely used fluorophores (COXI, P2X7R, β-Actin, Ki-67, DAPI) for labeling glioblastoma cell clusters.
• Acquired Z-stack images using a laser scanning confocal microscope.

Main Results:

• Observed significant fluorescence signal loss (up to ~70%) with increasing depth in Z-stacks.
• ProDiVis effectively normalized apparent fluorescent signals, compensating for depth-dependent attenuation.
• The program facilitates more accurate representation of signal location within 3D structures.

Conclusions:

• ProDiVis addresses the challenge of signal loss in 3D confocal microscopy, enhancing image interpretation.
• The software provides a free, accessible, and unbiased tool for analyzing fluorescence microscopy data.
• Improved visualization aids in understanding protein disposition and cellular architecture in 3D specimens.