Deep-learning-based multi-class segmentation for automated, non-invasive routine assessment of human pluripotent stem cell culture status

Author:

Piotrowski Tobias,Rippel Oliver,Elanzew Andreas,Nießing Bastian,Stucken Sebastian,Jung Sven,König Niels,Haupt Simone,Stappert Laura,Brüstle Oliver,Schmitt Robert,Jonas Stephan

Funder

Ministry of Innovation, Science, Research and Technology of the State of North Rhine-Westphalia

European Regional Development Fund

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference42 articles.

1. From stealing fire to cellular reprogramming: a scientific history leading to the 2012 Nobel Prize;William Lensch;Stem Cell Reports,2013

2. Prospects for clinical use of reprogrammed cells for autologous treatment of macular degeneration;Palomo;Fibrogenesis Tissue Repair,2015

3. Blood derived induced pluripotent stem cells (iPSCs): benefits, challenges and the road ahead;El Hokayem;J. Alzheimer’s Dis. Park.,2016

4. The generation of human induced pluripotent stem cells from blood cells: an efficient protocol using serial plating of reprogrammed cells by centrifugation;Kim;Stem Cell. Int.,2016

5. Induction of pluripotent stem cells from adult human fibroblasts by defined factors;Takahashi;Cell,2007

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