Detection of cellular micromotion by advanced signal processing.

Journal: Scientific reports
Published Date: Nov 18, 2020

Abstract

Cellular micromotion-a tiny movement of cell membranes on the nm-µm scale-has been proposed as a pathway for inter-cellular signal transduction and as a label-free proxy signal to neural activity. Here we harness several recent approaches of signal processing to detect such micromotion in video recordings of unlabeled cells. Our survey includes spectral filtering of the video signal, matched filtering, as well as 1D and 3D convolutional neural networks acting on pixel-wise time-domain data and a whole recording respectively.

Authors

  • Stephan Rinner
    Walter Schottky Institut and Physik-Department, Technische Universität München, 85748, Garching, Germany.
  • Alberto Trentino
    Walter Schottky Institut and Physik-Department, Technische Universität München, 85748, Garching, Germany.
  • Heike Url
    Department of Electrical and Computer Engineering, Munich School of Bioengineering, Technische Universität München, Boltzmannstraße 11, 85748, Garching, Germany.
  • Florian Burger
    Walter Schottky Institut and Physik-Department, Technische Universität München, 85748, Garching, Germany.
  • Julian von Lautz
    , Landshuter Allee 27, 80637, München, Germany.
  • Bernhard Wolfrum
    Department of Electrical and Computer Engineering, Munich School of Bioengineering, Technische Universität München, Boltzmannstraße 11, 85748, Garching, Germany.
  • Friedemann Reinhard
    Walter Schottky Institut and Physik-Department, Technische Universität München, 85748, Garching, Germany. friedemann.reinhard@wsi.tum.de.

Keywords

External Resources

Popular Topics
Recent Journals