ArticleScientific reports2021
Bayesian inference of the viscoelastic properties of a Jeffrey's fluid using optical tweezers.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Probabilistic analysis of spatial viscoelastic cues in 3D cell culture using magnetic microrheometry.Biophysical journal · 2025Article
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Authors and funding
6 authors.
Funding
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Abstract
Bayesian inference is a conscientious statistical method which is successfully used in many branches of physics and engineering. Compared to conventional approaches, it makes highly efficient use of information hidden in a measured quantity by predicting the distribution of future data points based on posterior information. Here we apply this method to determine the stress-relaxation time and the solvent and polymer contributions to the frequency dependent viscosity of a viscoelastic Jeffrey's fluid by the analysis of the measured trajectory of an optically trapped Brownian particle. When comparing the results to those obtained from the auto-correlation function, mean-squared displacement or the power spectrum, we find Bayesian inference to be much more accurate and less affected by systematic errors.
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Registered trials
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