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Super-resolution radial fluctuations microscopy for optimal resolution and fidelity

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Abstract

Fluorescence fluctuation super-resolution microscopy (FF-SRM) has emerged as a promising method for the fast, low-cost, and uncomplicated imaging of biological specimens beyond the diffraction limit. Among FF-SRM techniques, super-resolution radial fluctuation (SRRF) microscopy is a popular technique but is prone to artifacts, resulting in low fidelity, especially under conditions of high-density fluorophores. In this Letter, we developed a novel, to the best of our knowledge, combinatory computational super-resolution microscopy method, namely VeSRRF, that demonstrated superior performance in SRRF microscopy. VeSRRF combined intensity and gradient variance reweighted radial fluctuations (VRRF) and enhanced-SRRF (eSRRF) algorithms, leveraging the enhanced resolution achieved through intensity and gradient variance analysis in VRRF and the improved fidelity obtained from the radial gradient convergence transform in eSRRF. Our method was validated using microtubules in mammalian cells as a standard biological model system. Our results demonstrated that VeSRRF consistently achieved the highest resolution and exceptional fidelity compared to those obtained from other algorithms in both single-molecule localization microscopy (SMLM) and FF-SRM. Moreover, we developed the VeSRRF software package that is freely available on the open-source ImageJ/Fiji software platform to facilitate the use of VeSRRF in the broader community of biomedical researchers. VeSRRF is an exemplary method in which complementary microscopy techniques are integrated holistically, creating superior imaging performance and capabilities.

© 2024 Optica Publishing Group

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Supplementary Material (1)

NameDescription
Supplement 1       SUPPLEMENTARY METHODS AND MATERIALS,FIGURES,TABLES

Data availability

All relevant data are available from the authors upon request. Open-source VeSRRF software as a plugin in ImageJ is available from our GitHub page [13].

13. Y. Li, L. Liu, S. K. Roberts, et al., “Ja_VeSRRF,” GitHub (2023) [accessed 6 May 2024]. https://github.com/yrl1120/Ja_VeSRRF.

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Tables (1)

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Equations (8)

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