title: Auto- and cross-power spectral analysis of dual trap optical tweezer experiments using Bayesian inference.
abstract: The thermal fluctuations of micron-sized beads in dual trap optical tweezer experiments contain complete dynamic information about the viscoelastic properties of the embedding medium and-if present-macromolecular constructs connecting the two beads. To quantitatively interpret the spectral properties of the measured signals, a detailed understanding of the instrumental characteristics is required. To this end, we present a theoretical description of the signal processing in a typical dual trap optical tweezer experiment accounting for polarization crosstalk and instrumental noise and discuss the effect of finite statistics. To infer the unknown parameters from experimental data, a maximum likelihood method based on the statistical properties of the stochastic signals is derived. In a first step, the method can be used for calibration purposes: We propose a scheme involving three consecutive measurements (both traps empty, first one occupied and second empty, and vice versa), by which all instrumental and physical parameters of the setup are determined. We test our approach for a simple model system, namely a pair of unconnected, but hydrodynamically interacting spheres. The comparison to theoretical predictions based on instantaneous as well as retarded hydrodynamics emphasizes the importance of hydrodynamic retardation effects due to vorticity diffusion in the fluid. For more complex experimental scenarios, where macromolecular constructs are tethered between the two beads, the same maximum likelihood method in conjunction with dynamic deconvolution theory will in a second step allow one to determine the viscoelastic properties of the tethered element connecting the two beads.
authors.affiliation: Department of Physics, Freie Universität Berlin, 14195 Berlin, Germany. yann.von.hansen@fu-berlin.de
authors.forename: Yann
authors.initials: Y
authors.lastname: von Hansen
authors.forename: Alexander
authors.initials: A
authors.lastname: Mehlich
authors.forename: Benjamin
authors.initials: B
authors.lastname: Pelz
authors.forename: Matthias
authors.initials: M
authors.lastname: Rief
authors.forename: Roland R
authors.initials: RR
authors.lastname: Netz
mesh_terms: D001499:Bayes Theorem; D002138:Calibration; D057446:Hydrodynamics; D016013:Likelihood Functions; D008863:Microspheres; D052898:Optical Tweezers; D013997:Time Factors