Eschweiler D, Unger J, Chaisaowong K, Sawant M, Windoffer R, Leube RE, Merhof D (2017)
Publication Type: Conference contribution
Publication year: 2017
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
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.
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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