GSLab: open-source platform for advanced phasor analysis in fluorescence microscopy

Area of Science:

• Biophysics
• Microscopy
• Computational Biology

Background:

• Traditional phasor analysis in fluorescence microscopy has limitations.
• There is a need for advanced image analysis tools in biological research.

Purpose of the Study:

• To introduce GSLab, an open-source platform for fluorescence microscopy image analysis.
• To enhance traditional phasor analysis with advanced computational features.

Main Methods:

• GSLab is developed as a MATLAB application.
• It incorporates machine learning-based clustering for image segmentation.
• Features include real-time monitoring and quantitative unmixing of fluorescent species.

Main Results:

• GSLab provides enhanced lifetime and spectral phasor image analysis.
• The platform supports both commercial and custom fluorescence microscopy systems.
• It enables researchers to address complex biological questions.

Conclusions:

• GSLab offers a comprehensive solution for fluorescence microscopy image analysis.
• The software's advanced features facilitate deeper biological insights.
• It is accessible to researchers with varying technical expertise.