TrackNTrace: A simple and extendable open-source framework for developing single-molecule localization and tracking...

Area of Science:

• Biophysics
• Microscopy
• Computational Biology

Background:

• Super-resolution localization microscopy and single particle tracking are crucial for fluorescence microscopy.
• Increasingly complex algorithms in these fields hinder parameter tuning, inconsistency detection, and new method development.

Purpose of the Study:

• To present an open-source MATLAB framework for single molecule localization, tracking, and super-resolution.
• To facilitate community development, distribution, and comparison of microscopy methods.
• To provide a user-friendly system for inspecting results and identifying errors.

Main Methods:

• Development of a plugin-based system for easy extension and adaptation of algorithms.
• Integration of a novel visualization system for direct feedback on localization and tracking quality.
• Demonstration of high speed and accuracy using state-of-the-art algorithms and biological applications.

Main Results:

• The framework simplifies the development and tailoring of new microscopy techniques.
• The visualization system offers quick inspection of results and error sources.
• Plugins implementing advanced algorithms show high speed and accuracy.

Conclusions:

• The presented framework streamlines the process of developing and applying advanced microscopy techniques.
• It fosters collaboration and standardization within the scientific community.
• The software is effective for both practical applications and the creation of novel research methods.