Bayesian data analysis of the dynamics of rolling leukocytes

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

Abstract

The coordinated recruitment of leukocytes to sites of infection and inflammation is a central process of the immune system and proceeds in several steps. Here we focus on the dynamics of rolling leukocytes obtained from in vitro experiments. Trajectories of rolling leukocytes in small flow chambers are acquired with phase contrast microscopy under different levels of fluid shear stress and a variation of protein coatings of the (adhesive) surfaces. Bayesian data analysis of a random walk model including drift is applied to individual trajectories of leukocytes. The analysis allows the estimation of drift velocities and diffusion coefficients within an uncertainty of about 10% and shows a certain homogeneity of the cell groups. Drift velocities of cells saturate in spite of increasing fluid flow. In addition, the analysis reveals some correlated fluctuations of cells' translocations requiring a refinement of the stochastic model.

Details

Original languageEnglish
Title of host publicationBayesian Inference and Maximum Entropy Methods in Science and Engineering - 32nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
Pages61-68
Number of pages8
Publication statusPublished - 2013
Peer-reviewedYes

Publication series

SeriesAIP Conference Proceedings
Number1
Volume1553
ISSN0094-243X

Conference

Title32nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2012
Duration15 - 20 July 2012
CityGarching
CountryGermany

External IDs

ORCID /0000-0002-3564-0193/work/175220765

Keywords

ASJC Scopus subject areas

Keywords

  • dynamics of leukocytes, stochastic modeling