Diagnostic Potential of Imaging Flow Cytometry.

Trends Biotechnol

Authors	Minh Doan Ivan Vorobjev Paul Rees Andrew Filby Olaf Wolkenhauer Anne Goldfeld Judy Lieberman Natasha Barteneva Anne Carpenter Holger Hennig
Keywords	Humans Flow Cytometry Prognosis Single-Cell Analysis Leukemia, Myeloid Precision Medicine Image Processing, Computer-Assisted Microscopy, Fluorescence Neoplastic Cells, Circulating Data Analysis Deep Learning Single Molecule Imaging
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.
Year of Publication	2018
Journal	Trends Biotechnol
Volume	36
Issue	7
Pages	649-652
Date Published	2018 07
ISSN	1879-3096
DOI	10.1016/j.tibtech.2017.12.008
PubMed ID	29395345
Links	Google Scholar PubMed DOI
Grant list	BB/N005163 / Biotechnology and Biological Sciences Research Council / United Kingdom