| Literature DB >> 29395345 |
Minh Doan1, Ivan Vorobjev2, Paul Rees3, Andrew Filby4, Olaf Wolkenhauer5, Anne E Goldfeld6, Judy Lieberman6, Natasha Barteneva6, Anne E Carpenter1, Holger Hennig7.
Abstract
Imaging flow cytometry (IFC) captures multichannel images of hundreds of thousands of single cells within minutes. IFC is seeing a paradigm shift from low- to high-information-content analysis, driven partly by deep learning algorithms. We predict a wealth of applications with potential translation into clinical practice.Entities:
Keywords: deep learning; disease diagnostics; high-content analysis; imaging flow cytometry; translational medicine
Mesh:
Year: 2018 PMID: 29395345 DOI: 10.1016/j.tibtech.2017.12.008
Source DB: PubMed Journal: Trends Biotechnol ISSN: 0167-7799 Impact factor: 19.536