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Measuring fast stochastic displacements of bio-membranes with dynamic optical displacement spectroscopy

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  • C. Monzel

    (Institute of Complex Systems 7 (ICS-7): Biomechanics, Forschungszentrum Jülich GmbH
    Aix-Marseille Université, CNRS, Centre Interdisciplinaire de Nanoscience de Marseille UMR 7325
    Present addresses: Physical Chemistry, Institut Curie, CNRS UMR 168, 75248 Paris Cedex 5, France (C.M.); Weizmann Institute of Science, Department of Materials and Interfaces, Rehovot, Israel (D.K.).)

  • D. Schmidt

    (Institut für Theoretische Physik, and the Excellence Cluster: Engineering of Advanced Materials, Friedrich Alexander Universität Erlangen-Nürnberg
    II. Institut für Theoretische Physik, Fakultät 8: Mathematik und Physik, Universität Stuttgart)

  • C. Kleusch

    (Institute of Complex Systems 7 (ICS-7): Biomechanics, Forschungszentrum Jülich GmbH)

  • D. Kirchenbüchler

    (Institute of Complex Systems 7 (ICS-7): Biomechanics, Forschungszentrum Jülich GmbH
    Present addresses: Physical Chemistry, Institut Curie, CNRS UMR 168, 75248 Paris Cedex 5, France (C.M.); Weizmann Institute of Science, Department of Materials and Interfaces, Rehovot, Israel (D.K.).)

  • U. Seifert

    (II. Institut für Theoretische Physik, Fakultät 8: Mathematik und Physik, Universität Stuttgart)

  • A-S Smith

    (Institut für Theoretische Physik, and the Excellence Cluster: Engineering of Advanced Materials, Friedrich Alexander Universität Erlangen-Nürnberg
    Ruđer Bošković Institute)

  • K. Sengupta

    (Aix-Marseille Université, CNRS, Centre Interdisciplinaire de Nanoscience de Marseille UMR 7325)

  • R. Merkel

    (Institute of Complex Systems 7 (ICS-7): Biomechanics, Forschungszentrum Jülich GmbH)

Abstract

Stochastic displacements or fluctuations of biological membranes are increasingly recognized as an important aspect of many physiological processes, but hitherto their precise quantification in living cells was limited due to a lack of tools to accurately record them. Here we introduce a novel technique—dynamic optical displacement spectroscopy (DODS), to measure stochastic displacements of membranes with unprecedented combined spatiotemporal resolution of 20 nm and 10 μs. The technique was validated by measuring bending fluctuations of model membranes. DODS was then used to explore the fluctuations in human red blood cells, which showed an ATP-induced enhancement of non-Gaussian behaviour. Plasma membrane fluctuations of human macrophages were quantified to this accuracy for the first time. Stimulation with a cytokine enhanced non-Gaussian contributions to these fluctuations. Simplicity of implementation, and high accuracy make DODS a promising tool for comprehensive understanding of stochastic membrane processes.

Suggested Citation

  • C. Monzel & D. Schmidt & C. Kleusch & D. Kirchenbüchler & U. Seifert & A-S Smith & K. Sengupta & R. Merkel, 2015. "Measuring fast stochastic displacements of bio-membranes with dynamic optical displacement spectroscopy," Nature Communications, Nature, vol. 6(1), pages 1-8, November.
    • Handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms9162
    DOI: 10.1038/ncomms9162
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    Cited by:

    1. Michael Mell & Francisco Monroy, 2018. "A gradient-based, GPU-accelerated, high-precision contour-segmentation algorithm with application to cell membrane fluctuation spectroscopy," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-26, December.
    2. Tao Chen & Narain Karedla & Jörg Enderlein, 2024. "Measuring sub-nanometer undulations at microsecond temporal resolution with metal- and graphene-induced energy transfer spectroscopy," Nature Communications, Nature, vol. 15(1), pages 1-12, December.

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