Publication Type	Journal Article
Year of Publication	2018
Authors	Doan, M, Vorobjev, I, Rees, P, Filby, A, Wolkenhauer, O, Goldfeld, AE, Lieberman, J, Barteneva, N, Carpenter, AE, Hennig, H
Journal	Trends Biotechnol
Volume	36
Issue	7
Pages	649-652
Date Published	2018 07
ISSN	1879-3096
Keywords	Data Analysis, Deep Learning, Flow Cytometry, Humans, Image Processing, Computer-Assisted, Leukemia, Myeloid, Microscopy, Fluorescence, Neoplastic Cells, Circulating, Precision Medicine, Prognosis, Single Molecule Imaging, Single-Cell Analysis
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.
DOI	10.1016/j.tibtech.2017.12.008
Pubmed	http://www.ncbi.nlm.nih.gov/pubmed/29395345?dopt=Abstract
Alternate Journal	Trends Biotechnol.
PubMed ID	29395345
Grant List	BB/N005163 / / Biotechnology and Biological Sciences Research Council / United Kingdom

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