Document Type
Article
Publication Date
2-25-2021
Abstract
Anomalous diffusion dynamics in confined nanoenvironments govern the macroscale properties and interactions of many biophysical and material systems. Currently, it is difficult to quantitatively link the nanoscale structure of porous media to anomalous diffusion within them. Fluorescence correlation spectroscopy super-resolution optical fluctuation imaging (fcsSOFI) has been shown to extract nanoscale structure and Brownian diffusion dynamics within gels, liquid crystals, and polymers, but has limitations which hinder its wider application to more diverse, biophysically-relevant datasets. Here, we parallelize the least-squares curve fitting step on a GPU improving computation times by up to a factor of 40, implement anomalous diffusion and two-component Brownian diffusion models, and make fcsSOFI more accessible by packaging it in a user-friendly GUI. We apply fcsSOFI to simulations of the protein fibrinogen diffusing in polyacrylamide of varying matrix densities and super-resolve locations where slower, anomalous diffusion occurs within smaller, confined pores. The improvements to fcsSOFI in speed, scope, and usability will allow for the wider adoption of super-resolution correlation analysis to diverse research topics.
Language
English
Publication Title
Optics Express
Rights
© 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement, which allows readers to use, reuse, and build upon the article, or use it for text or data mining without asking prior permission from the publisher or the Author(s), as long as the purpose is non-commercial and appropriate attribution is maintained.
Recommended Citation
Shawn Yoshida, William Schmid, Nam Vo, William Calabrase, and Lydia Kisley, "Computationally-efficient spatiotemporal correlation analysis super-resolves anomalous diffusion," Opt. Express 29, 7616-7629 (2021)
Manuscript Version
Final Publisher Version