Bayesian data analysis of the dynamics of rolling leukocytes

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

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

OriginalspracheEnglisch
TitelBayesian Inference and Maximum Entropy Methods in Science and Engineering - 32nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
Seiten61-68
Seitenumfang8
PublikationsstatusVeröffentlicht - 2013
Peer-Review-StatusJa

Publikationsreihe

ReiheAIP Conference Proceedings
Nummer1
Band1553
ISSN0094-243X

Konferenz

Titel32nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2012
Dauer15 - 20 Juli 2012
StadtGarching
LandDeutschland

Externe IDs

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

Schlagworte

ASJC Scopus Sachgebiete

Schlagwörter

  • dynamics of leukocytes, stochastic modeling