ArticleACS nano2015
Characterization of Porous Materials by Fluorescence Correlation Spectroscopy Super-resolution Optical Fluctuation Imaging.
Article in ACS nano, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Beyond Membrane Fluidity: Lipid Unsaturation and Hofmeister Cations Govern Nanoplastic Dynamics at Membrane Interfaces.Analytical chemistry · 2026Article
- Feature Selection and Hyperparameter Optimization for Machine Learned Classification of 3D Single-Particle Tracking.Chemical & biomedical imaging · 2026Article
- Transient binding facilitates super-resolution imaging of functional amyloid fibrils on living bacteria.Protein science : a publication of the Protein Society · 2026Article
- D‑Blur: A Deep Learning Approach for Mapping Subdiffraction Diffusion with Motion-Blurred Images.Chemical & biomedical imaging · 2025Article
- Super-Resolving Particle Diffusion Heterogeneity in Porous Hydrogels via High-Speed 3D Active-Feedback Single-Particle Tracking Microscopy.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Super-resolving particle diffusion heterogeneity in porous hydrogels via high-speed 3D active-feedback single-particle tracking microscopy.bioRxiv : the preprint server for biology · 2025Article
- Cross-Correlation Increases Sampling in Diffusion-Based Super-Resolution Optical Fluctuation Imaging.Chemical & biomedical imaging · 2024Article
- A practical guide to light-sheet microscopy for nanoscale imaging: Looking beyond the cell.Journal of applied physics · 2024Article
- Current capabilities and future perspectives of FCS: super-resolution microscopy, machine learning, and in vivo applications.Communications biology · 2023Review
- Recognition of Single Fluorescence Events by Temporal Pixel Intensity Fluctuation.Chemical & biomedical imaging · 2023Article
- Spatially Resolving Size Effects on Diffusivity in Nanoporous Extracellular Matrix-like Materials with Fluorescence Correlation Spectroscopy Super-Resolution Optical Fluctuation Imaging.The journal of physical chemistry. B · 2023Article
- Article
- Three-dimensional single particle tracking using 4π self-interference of temporally phase-shifted fluorescence.Light, science & applications · 2023Article
- Article
- Simulating stochastic adsorption of diluted solute molecules at interfaces.AIP advances · 2022Article
- Rapid ensemble measurement of protein diffusion and probe blinking dynamics in cells.Biophysical reports · 2021Article
- Seeing beyond the limit: A guide to choosing the right super-resolution microscopy technique.The Journal of biological chemistry · 2021Review
- Simultaneous spatiotemporal super-resolution and multi-parametric fluorescence microscopy.Nature communications · 2021Article
- Molecular wayfinding: Mapping transport dynamics.APL bioengineering · 2021Article
- Fluorescence strategies for mapping cell membrane dynamics and structures.APL bioengineering · 2020Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Porous materials such as cellular cytosol, hydrogels, and block copolymers have nanoscale features that determine macroscale properties. Characterizing the structure of nanopores is difficult with current techniques due to imaging, sample preparation, and computational challenges. We produce a super-resolution optical image that simultaneously characterizes the nanometer dimensions of and diffusion dynamics within porous structures by correlating stochastic fluctuations from diffusing fluorescent probes in the pores of the sample, dubbed here as "fluorescence correlation spectroscopy super-resolution optical fluctuation imaging" or "fcsSOFI". Simulations demonstrate that structural features and diffusion properties can be accurately obtained at sub-diffraction-limited resolution. We apply our technique to image agarose hydrogels and aqueous lyotropic liquid crystal gels. The heterogeneous pore resolution is improved by up to a factor of 2, and diffusion coefficients are accurately obtained through our method compared to diffraction-limited fluorescence imaging and single-particle tracking. Moreover, fcsSOFI allows for rapid and high-throughput characterization of porous materials. fcsSOFI could be applied to soft porous environments such hydrogels, polymers, and membranes in addition to hard materials such as zeolites and mesoporous silica.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.