Detection and quantification of cytoskeletal granules

Eschweiler D, Unger J, Chaisaowong K, Sawant M, Windoffer R, Leube RE, Merhof D (2017)


Publication Type: Conference contribution

Publication year: 2017

Journal

Publisher: Kluwer Academic Publishers

Pages Range: 260-265

Conference Proceedings Title: Informatik aktuell

Event location: Berlin, DEU

ISBN: 9783662494646

DOI: 10.1007/978-3-662-49465-3_46

Abstract

The cytoskeleton is a dynamic scaffolding maintaining cell stability and motility. Keratin filaments form cytoskeletal networks in the cytoplasm of epithelial cells. Genetic mutations of keratin genes have been implicated in human skin diseases, such as epidermolysis bullosa simplex. Keratin network organization is severely impaired in these instances resulting in the formation of prominent granular aggregates. To gain an understanding of the pathomechanisms underlying keratin granule formation and to screen for factors affecting this process, an automated segmentation routine of keratin granules is proposed in this paper. As such, the presented method holds a lot of potential for an objective assessment of keratin organization to improve treatment of genetic keratinopathies.

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How to cite

APA:

Eschweiler, D., Unger, J., Chaisaowong, K., Sawant, M., Windoffer, R., Leube, R.E., & Merhof, D. (2017). Detection and quantification of cytoskeletal granules. In Thomas M. Deserno, Heinz Handels, Thomas Tolxdorff, Hans-Peter Meinzer (Eds.), Informatik aktuell (pp. 260-265). Berlin, DEU: Kluwer Academic Publishers.

MLA:

Eschweiler, Dennis, et al. "Detection and quantification of cytoskeletal granules." Proceedings of the Workshops on Image processing for the medicine, 2016, Berlin, DEU Ed. Thomas M. Deserno, Heinz Handels, Thomas Tolxdorff, Hans-Peter Meinzer, Kluwer Academic Publishers, 2017. 260-265.

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