Bayesian inference of the viscoelastic properties of a Jeffrey’s fluid using optical tweezers

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 poin...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Shuvojit Paul, N Narinder, Ayan Banerjee, K Rajesh Nayak, Jakob Steindl, Clemens Bechinger
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/12d0a9df6999486f9b7e213cf892e78e
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:12d0a9df6999486f9b7e213cf892e78e
record_format dspace
spelling oai:doaj.org-article:12d0a9df6999486f9b7e213cf892e78e2021-12-02T11:50:31ZBayesian inference of the viscoelastic properties of a Jeffrey’s fluid using optical tweezers10.1038/s41598-021-81094-x2045-2322https://doaj.org/article/12d0a9df6999486f9b7e213cf892e78e2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-81094-xhttps://doaj.org/toc/2045-2322Abstract 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.Shuvojit PaulN NarinderAyan BanerjeeK Rajesh NayakJakob SteindlClemens BechingerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Shuvojit Paul
N Narinder
Ayan Banerjee
K Rajesh Nayak
Jakob Steindl
Clemens Bechinger
Bayesian inference of the viscoelastic properties of a Jeffrey’s fluid using optical tweezers
description 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.
format article
author Shuvojit Paul
N Narinder
Ayan Banerjee
K Rajesh Nayak
Jakob Steindl
Clemens Bechinger
author_facet Shuvojit Paul
N Narinder
Ayan Banerjee
K Rajesh Nayak
Jakob Steindl
Clemens Bechinger
author_sort Shuvojit Paul
title Bayesian inference of the viscoelastic properties of a Jeffrey’s fluid using optical tweezers
title_short Bayesian inference of the viscoelastic properties of a Jeffrey’s fluid using optical tweezers
title_full Bayesian inference of the viscoelastic properties of a Jeffrey’s fluid using optical tweezers
title_fullStr Bayesian inference of the viscoelastic properties of a Jeffrey’s fluid using optical tweezers
title_full_unstemmed Bayesian inference of the viscoelastic properties of a Jeffrey’s fluid using optical tweezers
title_sort bayesian inference of the viscoelastic properties of a jeffrey’s fluid using optical tweezers
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/12d0a9df6999486f9b7e213cf892e78e
work_keys_str_mv AT shuvojitpaul bayesianinferenceoftheviscoelasticpropertiesofajeffreysfluidusingopticaltweezers
AT nnarinder bayesianinferenceoftheviscoelasticpropertiesofajeffreysfluidusingopticaltweezers
AT ayanbanerjee bayesianinferenceoftheviscoelasticpropertiesofajeffreysfluidusingopticaltweezers
AT krajeshnayak bayesianinferenceoftheviscoelasticpropertiesofajeffreysfluidusingopticaltweezers
AT jakobsteindl bayesianinferenceoftheviscoelasticpropertiesofajeffreysfluidusingopticaltweezers
AT clemensbechinger bayesianinferenceoftheviscoelasticpropertiesofajeffreysfluidusingopticaltweezers
_version_ 1718395149269073920