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

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Systematic Analysis of Jurkat T-Cell Deformation in Fluorescence Microscopy Data. / Antoni, Sven-Thomas; Ismail, Omar M. F.; Schetelig, Daniel; Diercks, Björn-Philipp; Werner, Rene; Wolf, Insa; Guse, Andreas; Schlaefer, Alexander.

Bildverarbeitung für die Medizin 2017: Algorithmen - Systeme - Anwendungen. ed. / Klaus Hermann Maier-Hain; Thomas Deserno; Heinz Handels; Tolxdorff Thomas. 1. ed. Springer, 2017. p. 275-280 (Informatik aktuell).

Research output: SCORING: Contribution to book/anthology › SCORING: Contribution to collected editions/anthologies › Research › peer-review

Harvard

Antoni, S-T, Ismail, OMF, Schetelig, D, Diercks, B-P, Werner, R, Wolf, I, Guse, A & Schlaefer, A 2017, Systematic Analysis of Jurkat T-Cell Deformation in Fluorescence Microscopy Data. in KH Maier-Hain, T Deserno, H Handels & T Thomas (eds), Bildverarbeitung für die Medizin 2017: Algorithmen - Systeme - Anwendungen. 1 edn, Informatik aktuell, Springer, pp. 275-280. https://doi.org/10.1007/978-3-662-54345-0_63

APA

Antoni, S-T., Ismail, O. M. F., Schetelig, D., Diercks, B-P., Werner, R., Wolf, I., Guse, A., & Schlaefer, A. (2017). Systematic Analysis of Jurkat T-Cell Deformation in Fluorescence Microscopy Data. In K. H. Maier-Hain, T. Deserno, H. Handels, & T. Thomas (Eds.), Bildverarbeitung für die Medizin 2017: Algorithmen - Systeme - Anwendungen (1 ed., pp. 275-280). (Informatik aktuell). Springer. https://doi.org/10.1007/978-3-662-54345-0_63

Vancouver

Antoni S-T, Ismail OMF, Schetelig D, Diercks B-P, Werner R, Wolf I et al. Systematic Analysis of Jurkat T-Cell Deformation in Fluorescence Microscopy Data. In Maier-Hain KH, Deserno T, Handels H, Thomas T, editors, Bildverarbeitung für die Medizin 2017: Algorithmen - Systeme - Anwendungen. 1 ed. Springer. 2017. p. 275-280. (Informatik aktuell). https://doi.org/10.1007/978-3-662-54345-0_63

Bibtex

@inbook{06261e6e8957436187971f0b873c782e,
title = "Systematic Analysis of Jurkat T-Cell Deformation in Fluorescence Microscopy Data",
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.",
author = "Sven-Thomas Antoni and Ismail, {Omar M. F.} and Daniel Schetelig and Bj{\"o}rn-Philipp Diercks and Rene Werner and Insa Wolf and Andreas Guse and Alexander Schlaefer",
year = "2017",
doi = "10.1007/978-3-662-54345-0_63",
language = "English",
isbn = "978-3-662-54344-3",
series = "Informatik aktuell",
publisher = "Springer",
pages = "275--280",
editor = "Maier-Hain, {Klaus Hermann} and Thomas Deserno and Heinz Handels and Tolxdorff Thomas",
booktitle = "Bildverarbeitung f{\"u}r die Medizin 2017",
address = "Germany",
edition = "1",

}

RIS

TY - CHAP

T1 - Systematic Analysis of Jurkat T-Cell Deformation in Fluorescence Microscopy Data

AU - Antoni, Sven-Thomas

AU - Ismail, Omar M. F.

AU - Schetelig, Daniel

AU - Diercks, Björn-Philipp

AU - Werner, Rene

AU - Wolf, Insa

AU - Guse, Andreas

AU - Schlaefer, Alexander

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

U2 - 10.1007/978-3-662-54345-0_63

DO - 10.1007/978-3-662-54345-0_63

M3 - SCORING: Contribution to collected editions/anthologies

SN - 978-3-662-54344-3

T3 - Informatik aktuell

SP - 275

EP - 280

BT - Bildverarbeitung für die Medizin 2017

A2 - Maier-Hain, Klaus Hermann

A2 - Deserno, Thomas

A2 - Handels, Heinz

A2 - Thomas, Tolxdorff

PB - Springer

ER -