Literature DB >> 27749866

Visualizing the molecular mode of motion from a correlative analysis of localization microscopy datasets.

Carmine Di Rienzo, Paolo Annibale.   

Abstract

The determination of the mode and rapidity of motion of individual molecules within a biological sample is becoming a more and more common analysis in biophysical investigations. Single molecule tracking (SMT) techniques allow reconstructing the trajectories of individual molecules within a movie, provided that the position from one frame to the other can be correctly linked. The outcomes, however, appear to depend on the specific method used, and most techniques display a limitation to capture fast modes of motion in a crowded environment. We demonstrate here that the limitations encountered by conventional SMT can be significantly overcome by employing alternative approaches based on image spatial-temporal correlations, enabling to visually extract quantitative insights on the ensemble mode of motion of fluorescently labeled biomolecules that would otherwise be inaccessible.

Year:  2016        PMID: 27749866     DOI: 10.1364/OL.41.004503

Source DB:  PubMed          Journal:  Opt Lett        ISSN: 0146-9592            Impact factor:   3.776


  4 in total

1.  A panoramic view on GPCRs: the 1st Berlin Symposium for Interdisciplinary GPCR research.

Authors:  Andreas Bock; Marcel Bermudez
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2018-05-21       Impact factor: 3.000

2.  The Impact of Membrane Protein Diffusion on GPCR Signaling.

Authors:  Horst-Holger Boltz; Alexei Sirbu; Nina Stelzer; Primal de Lanerolle; Stefanie Winkelmann; Paolo Annibale
Journal:  Cells       Date:  2022-05-17       Impact factor: 7.666

3.  Optical Mapping of cAMP Signaling at the Nanometer Scale.

Authors:  Andreas Bock; Paolo Annibale; Charlotte Konrad; Annette Hannawacker; Selma E Anton; Isabella Maiellaro; Ulrike Zabel; Sivaraj Sivaramakrishnan; Martin Falcke; Martin J Lohse
Journal:  Cell       Date:  2020-08-25       Impact factor: 41.582

4.  Linescan microscopy data to extract diffusion coefficient of a fluorescent species using a commercial confocal microscope.

Authors:  Marc Bathe-Peters; Philipp Gmach; Paolo Annibale; Martin J Lohse
Journal:  Data Brief       Date:  2020-01-02
  4 in total

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