Systematic analysis of jurkat T-cell deformation in fluorescence microscopy data

Start Page
275
End Page
280
Citation
Workshops on Image processing for the medicine, 2017: 275-280
Contribution to Conference
Workshops on Image processing for the medicine, 2017  
Publisher DOI
10.1007/978-3-662-54345-0_63
Scopus ID
2-s2.0-85019849056
Publisher
Springer Vieweg
ISBN
978-3-662-54345-0
978-3-662-54344-3
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.
DDC Class
600: Technik
610: Medizin
More Funding Information
Funded by Forschungszentrum Medizintechnik Hamburg, Landesforschungsf¨orderung Hamburg and DFG (GU360/15-1)