PuSH - Publikationsserver des Helmholtz Zentrums München

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1.
Chatzopoulou, E.I.* et al.: A single-cell micro-trench platform for automatic monitoring of cell division and apoptosis after chemotherapeutic drug administration. Sci. Rep. 8:18042 (2018)
2.
Buggenthin, F. et al.: Prospective identification of hematopoietic lineage choice by deep learning. Nat. Methods, DOI: 10.1038/nmeth.4182 (2017)
3.
Lupperger, V. ; Buggenthin, F. ; Chapouton, P. & Marr, C.: Image analysis of neural stem cell division patterns in the zebrafish brain. Cytometry A 93A, 314-322 (2017)
4.
Dragoi, D. et al.: Twist1 induces distinct cell states depending on TGFBR1-activation. Oncotarget 7, 30396-30407 (2016)
5.
Hilsenbeck, O. et al.: Software tools for single-cell tracking and quantification of cellular and molecular properties. Nat. Biotechnol. 34, 703-706 (2016)
6.
Reversat, A.* et al.: Morphodynamic analysis of T lymphocyte migration in confined microenvironments. Mol. Biol. Cell 25:P537 (2014)
7.
Bardehle, S. et al.: Live imaging of astrocyte responses to acute injury reveals selective juxtavascular proliferation. Nat. Neurosci. 16, 580-586 (2013)
8.
Buggenthin, F. et al.: An automatic method for robust and fast cell detection in bright field images from high-throughput microscopy. BMC Bioinformatics 14:297 (2013)
9.
Buggenthin, F.: Computational prediction of hematopoietic cell fates using single cell time lapse imaging. München, Technische Universität & Ludwig-Maximilians-Universität, Fakultät für Informatik, Diplom-Arbeit, 2011, 99 S.
10.
Ruepp, A. et al.: PhenomiR: A knowledgebase for microRNA expression in diseases and biological processes. Genome Biol. 11:R6 (2010)