Detection of cellular micromotion by advanced signal processing

Stephan Rinner; Alberto Trentino; Heike Url; Florian Burger; Julian von Lautz; Bernhard Wolfrum; Friedemann Reinhard

doi:10.1038/s41598-020-77015-z

Detection of cellular micromotion by advanced signal processing

Stephan Rinner, Alberto Trentino, Heike Url, Florian Burger, Julian von Lautz, Bernhard Wolfrum, Friedemann Reinhard

Associate Professorship of Neuroelectronics

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

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.

Original language	English
Article number	20078
Journal	Scientific Reports
Volume	10
Issue number	1
DOIs	https://doi.org/10.1038/s41598-020-77015-z
State	Published - Dec 2020

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AU - Wolfrum, Bernhard

AU - Reinhard, Friedemann

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AB - 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.

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Detection of cellular micromotion by advanced signal processing

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