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MUnCH: a calculator for propagating statistical and other sources of error in passive microrheology

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Abstract

A complete propagation of error procedure for passive microrheology is illustrated using synthetic data from generalized Brownian dynamics. Moreover, measurement errors typical of bead tracking done with laser interferometry are employed. We use the blocking transformation method of Flyvbjerg and Petersen (J Chem Phys 91(1):461–466 1989) applicable to estimating statistical uncertainty in autocorrelations for any time series data, to account properly for the correlation in the bead position data. These contributions to uncertainty in correlations have previously been neglected when calculating the error in the mean-squared displacement of the probe bead (MSD). The uncertainty in the MSD can be underestimated by a factor of about 20 if the correlation in the bead position data is neglected. Using the generalized Stokes-Einstein relation, the uncertainty in the MSD is then propagated to the dynamic modulus. Uncertainties in the bead radius and the trap stiffness are also taken into account. A simple code used to aid in the calculations is provided.

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Funding

Partial financial support was received from the Army Research Office grants W911NF-09-2-0071 and W911NF-09-1-0378; and from the National Science Foundation’s Division of Materials Research (Award No 1610115).

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Authors and Affiliations

  1. Pritzker School of Molecular Engineering, University of Chicago, 5640 South Ellis Avenue, Chicago, IL, 60637, USA

    Andrés Córdoba

  2. Center for Molecular Study of Condensed Soft Matter, Department of Chemical and Biological Engineering, Department of Physics, and Department of Applied Mathematics, Illinois Institute of Technology, 3440 South Dearborn Street, Chicago, IL, 60616, USA

    Jay D. Schieber

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  1. Andrés Córdoba
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  2. Jay D. Schieber
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Correspondence to Andrés Córdoba.

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Córdoba, A., Schieber, J.D. MUnCH: a calculator for propagating statistical and other sources of error in passive microrheology. Rheol Acta 61, 49–57 (2022). https://doi.org/10.1007/s00397-021-01312-1

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  • DOI: https://doi.org/10.1007/s00397-021-01312-1

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