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Systematic Analysis of Jurkat T-Cell Deformation in Fluorescence Microscopy Data

Authors :
Daniel Schetelig
Alexander Schlaefer
Björn-Philipp Diercks
Andreas H. Guse
Omar M. F. Ismail
Insa M. A. Wolf
Sven-Thomas Antoni
René Werner
Source :
Informatik aktuell ISBN: 9783662543443, Bildverarbeitung für die Medizin
Publication Year :
2017
Publisher :
Springer Berlin Heidelberg, 2017.

Abstract

In the adaptive immune system, Calcium (Ca2+) is acting as a fundamental on-switch. Fluorescence microscopy is used to study the underlying mechanisms. However, living cells introduce motion and for the analysis of (sub-)cellular Ca2+ activity a precise motion analysis is necessary. We present an image based workflow to detect and analyze cell motion. We evaluate our approach on Jurkat T-cells using cell motion as observed from actual time series of cell images. Results indicate, that our method is able to detect deformation with an error of 0.2222 ± 0.086μm which is in the range of the image resolution, showing that accurate cell deformation detection is possible and feasible.

Details

ISBN :
978-3-662-54344-3
ISBNs :
9783662543443
Database :
OpenAIRE
Journal :
Informatik aktuell ISBN: 9783662543443, Bildverarbeitung für die Medizin
Accession number :
edsair.doi...........5591dbb20fa8506e2785fb127a3722c0
Full Text :
https://doi.org/10.1007/978-3-662-54345-0_63