Antoni, Sven-ThomasSven-ThomasAntoniIsmail, Omar M.F.Omar M.F.IsmailSchetelig, DanielDanielScheteligDiercks, Björn PhilippBjörn PhilippDiercksWerner, RenéRenéWernerWolf, Insa M.A.Insa M.A.WolfGuse, Andreas H.Andreas H.GuseSchlaefer, AlexanderAlexanderSchlaefer2019-09-272019-09-272017-03Workshops on Image processing for the medicine, 2017: 275-280978-3-662-54345-0978-3-662-54344-3http://hdl.handle.net/11420/3448In 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.enTechnikMedizinConference Paper10.1007/978-3-662-54345-0_63Conference Paper