Super-resolution radial fluctuations microscopy for optimal resolution and fidelity

Area of Science:

• Biophysics
• Optical Microscopy
• Computational Imaging

Background:

• Fluorescence fluctuation super-resolution microscopy (FF-SRM) offers fast, low-cost imaging beyond the diffraction limit.
• Super-resolution radial fluctuation (SRRF) microscopy, a popular FF-SRM technique, suffers from artifacts and low fidelity, especially with high fluorophore densities.

Purpose of the Study:

• To develop a novel computational super-resolution microscopy method, VeSRRF, that improves upon existing SRRF techniques.
• To enhance image resolution and fidelity in biological imaging, particularly under challenging conditions.

Main Methods:

• VeSRRF combines intensity and gradient variance reweighted radial fluctuations (VRRF) with enhanced-SRRF (eSRRF) algorithms.
• The method leverages VRRF's resolution enhancement and eSRRF's fidelity improvements through radial gradient convergence.
• Validation was performed using mammalian cell microtubules as a model system.

Main Results:

• VeSRRF demonstrated superior performance compared to other algorithms in both single-molecule localization microscopy (SMLM) and FF-SRM.
• The method consistently achieved higher resolution and exceptional fidelity in imaging microtubules.
• A VeSRRF software package was developed and made freely available on the ImageJ/Fiji platform.

Conclusions:

• VeSRRF represents a significant advancement in super-resolution microscopy, offering improved resolution and fidelity.
• The integration of complementary techniques in VeSRRF provides superior imaging capabilities for biomedical research.
• The open-source availability of VeSRRF software promotes its adoption and advancement within the research community.