Open-source image reconstruction of super-resolution structured illumination microscopy data in ImageJ

Area of Science:

• Microscopy
• Biophysics
• Image Analysis

Background:

• Super-resolved structured illumination microscopy (SR-SIM) enhances spatial resolution in fluorescence imaging.
• SR-SIM relies on numerical reconstruction of multiple wide-field images acquired with patterned illumination.
• Existing SR-SIM reconstruction methods often require specific software implementations.

Purpose of the Study:

• To introduce fairSIM, an open-source ImageJ plugin for SR-SIM image reconstruction.
• To provide a versatile and user-friendly solution for SR-SIM data analysis across different platforms.
• To streamline the development and application of SR-SIM techniques.

Main Methods:

• Development of fairSIM as a modular ImageJ plugin.
• Implementation of SR-SIM reconstruction algorithms within the plugin.
• Testing and validation across diverse SR-SIM platforms.

Main Results:

• fairSIM offers easy-to-use SR-SIM reconstructions within ImageJ.
• The plugin supports a wide range of SR-SIM hardware and software.
• It provides an independent analysis option for commercial SR-SIM data.

Conclusions:

• fairSIM simplifies SR-SIM data processing and analysis.
• The open-source nature facilitates adaptation and future development in super-resolution microscopy.
• It empowers researchers with advanced analysis capabilities independent of specific microscope vendors.