Automated Image-Based Quantification of Neutrophil Extracellular Traps Using NETQUANT.

Area of Science:

• Immunology
• Cell Biology
• Bioinformatics

Background:

• Neutrophil extracellular traps (NETs) are crucial antimicrobial structures.
• Quantifying NET formation is essential for research but current methods have limitations.
• Existing immunofluorescence-based NET quantification is often subjective, time-consuming, and requires user expertise.

Purpose of the Study:

• To develop and implement an automated, user-friendly software for NET quantification.
• To address the limitations of manual and semi-automatic NET analysis methods.
• To provide accurate, single-cell resolution quantification of NET formation.

Main Methods:

• Development of NETQUANT, an automated immunofluorescence-based image quantification tool.
• Implementation of a user-friendly graphical user interface (GUI).
• NET quantification based on biologically relevant parameters: increased surface area, DNA:NET marker protein ratio, and nuclear deformation.

Main Results:

• NETQUANT provides an automated and objective method for NET quantification.
• The software is easy to use, even for non-experienced users.
• NETQUANT allows for single-cell resolution analysis and is freely available.

Conclusions:

• NETQUANT offers a significant advancement in the accurate and efficient quantification of NET formation.
• This tool democratizes NET analysis by providing an accessible and automated solution.
• NETQUANT facilitates robust research into the role of NETs in health and disease.