ArticleBiophysical journal2019
Anomalous Diffusion in Inverted Variable-Lengthscale Fluorescence Correlation Spectroscopy.
Article in Biophysical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed, 23 citations in OpenAlex.
- Incense Aerosol-Induced Neurotoxicity Disrupts α-Synuclein Homeostasis in a Cellular Parkinson's Disease Model, Distinct from Cigarette Aerosols.Chemical research in toxicology · 2026Article
- Enhancing fluorescence correlation spectroscopy with machine learning to infer anomalous molecular motion.Biophysical journal · 2025Article
- Influence of Cigarette Aerosol in Alpha-Synuclein Oligomerization and Cell Viability in SH-SY5Y: Implications for Parkinson's Disease.ACS chemical neuroscience · 2024Article
- Quantifying membrane binding and diffusion with fluorescence correlation spectroscopy diffusion laws.Biophysical journal · 2023Article
- Influence of FRET and fluorescent protein maturation on the quantification of binding affinity with dual-channel fluorescence cross-correlation spectroscopy.Biomedical optics express · 2020Article
- Fluorescence strategies for mapping cell membrane dynamics and structures.APL bioengineering · 2020Article
- Anomalous Diffusion Inside Soft Colloidal Suspensions Investigated by Variable Length Scale Fluorescence Correlation Spectroscopy.ACS omega · 2020Article
- Lateral diffusion of single polymer molecules at interfaces between water and oil.RSC advances · 2020Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Using fluorescence correlation spectroscopy (FCS) to distinguish between different types of diffusion processes is often a perilous undertaking because the analysis of the resulting autocorrelation data is model dependant. Two recently introduced strategies, however, can help move toward a model-independent interpretation of FCS experiments: 1) the obtention of correlation data at different length scales and 2) their inversion to retrieve the mean-squared displacement associated with the process under study. We use computer simulations to examine the signature of several biologically relevant diffusion processes (simple diffusion, continuous-time random walk, caged diffusion, obstructed diffusion, two-state diffusion, and diffusing diffusivity) in variable-length-scale FCS. We show that, when used in concert, length-scale variation and data inversion permit us to identify non-Gaussian processes and, regardless of Gaussianity, to retrieve their mean-squared displacement over several orders of magnitude in time. This makes unbiased discrimination between different classes of diffusion models possible.
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Registered trials
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