Getting numbers out of cells - applications of deep neural networks to microscopy image compendia
Dr Leopold Parts, Sanger Institute
Wednesday, 17 May 2017, 11.30am to 12.30pm
LG1 Seminar room, BDI, Old Road Campus
High throughput microscopy generates high-dimensional data that are far from straightforward to analyze. I will describe our work in using deep neural networks to derive qualitative descriptors (e.g. subcellular localization of a fluorescent protein, or tissue of a histopathology image) and quantitative features (such as abundance of a tagged protein in cell membrane) from images. We apply these ideas to the publicly available GTEX tissue histology dataset, and yeast GFP collection micrographs.