Calibrating optical tweezers with Bayesian inference - Archive ouverte HAL Access content directly
Journal Articles Optics Express Year : 2013

Calibrating optical tweezers with Bayesian inference

(1) , (1) , (2) , (2) , (3) , (2) , (2) , (1)
1
2
3

Abstract

We present a new method for calibrating an optical-tweezer setup that does not depend on input parameters and is less affected by systematic errors like drift of the setup. It is based on an inference approach that uses Bayesian probability to infer the diffusion coefficient and the potential felt by a bead trapped in an optical or magnetic trap. It exploits a much larger amount of the information stored in the recorded bead trajectory than standard calibration approaches. We demonstrate that this method outperforms the equipartition method and the power-spectrum method in input information required (bead radius and trajectory length) and in output accuracy.
Fichier principal
Vignette du fichier
Richly2013OpEx.pdf (507.83 Ko) Télécharger le fichier
Origin : Publisher files allowed on an open archive
Loading...

Dates and versions

hal-00918884 , version 1 (16-12-2013)

Identifiers

Cite

Maximilian U. Richly, Silvan Türkcan, Antoine Le Gall, Nicolas Fiszman, Jean-Baptiste Masson, et al.. Calibrating optical tweezers with Bayesian inference. Optics Express, 2013, 21 (25), pp.31578. ⟨10.1364/OE.21.031578⟩. ⟨hal-00918884⟩
567 View
420 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More