A Fiji process for quantifying fluorescent puncta in linear cellular structures

Area of Science:

• Cell Biology
• Neuroscience
• Biophysics

Background:

• Accurate quantification of protein accumulation in cellular structures is crucial for understanding protein trafficking and homeostasis.
• Existing imaging analysis methods often rely on proprietary software, limiting accessibility and reproducibility.
• Specific challenges exist in analyzing punctate protein accumulation within linear structures, such as neuronal processes.

Purpose of the Study:

• To introduce a novel set of macros for ImageJ/Fiji, a free, open-source image analysis software.
• To provide a reproducible and accessible method for quantifying protein puncta in cellular structures.
• To enable detailed analysis of protein puncta, including intensity, density, and Full-Width Half-Maximum (FWHM).

Main Methods:

• Development of ImageJ/Fiji macros for automated identification and quantification of protein puncta.
• Application of macros to analyze protein accumulation in linear structures, exemplified by *C. elegans* neurites.
• Validation of macro performance through side-by-side comparison with proprietary software (IgorPro) using independent datasets.

Main Results:

• The Fiji macros reliably identify and quantify protein puncta, providing data on intensity, density, and FWHM.
• Analysis demonstrates comparable results between the Fiji macro and proprietary software.
• The macro offers a robust alternative for quantitative imaging analysis in cell biology.

Conclusions:

• The developed Fiji macro provides a powerful, free, and open-source tool for analyzing protein puncta.
• This macro enhances reproducibility and accessibility in cell biology research, particularly for studies involving protein trafficking and homeostasis.
• The tool facilitates detailed quantitative analysis of protein accumulation in various cellular contexts.