Ontology highlight
ABSTRACT:
SUBMITTER: Eulenberg P
PROVIDER: S-EPMC5587733 | biostudies-literature | 2017 Sep
REPOSITORIES: biostudies-literature
Eulenberg Philipp P Köhler Niklas N Blasi Thomas T Filby Andrew A Carpenter Anne E AE Rees Paul P Theis Fabian J FJ Wolf F Alexander FA
Nature communications 20170906 1
We show that deep convolutional neural networks combined with nonlinear dimension reduction enable reconstructing biological processes based on raw image data. We demonstrate this by reconstructing the cell cycle of Jurkat cells and disease progression in diabetic retinopathy. In further analysis of Jurkat cells, we detect and separate a subpopulation of dead cells in an unsupervised manner and, in classifying discrete cell cycle stages, we reach a sixfold reduction in error rate compared to a r ...[more]