Diagnostic Potential of Imaging Flow Cytometry

Minh Doan; Ivan Vorobjev; Paul Rees; Andrew Filby; Olaf Wolkenhauer; Anne E. Goldfeld; Judy Lieberman; Natasha Barteneva; Anne E. Carpenter; Holger Hennig

doi:10.1016/j.tibtech.2017.12.008

Diagnostic Potential of Imaging Flow Cytometry

Minh Doan, Ivan Vorobjev, Paul Rees, Andrew Filby, Olaf Wolkenhauer, Anne E. Goldfeld, Judy Lieberman, Natasha Barteneva, Anne E. Carpenter, Holger Hennig

School of Sciences and Humanities

Research output: Contribution to journal › Article › peer-review

126 Citations (Scopus)

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.

Original language	English
Pages (from-to)	649-652
Number of pages	4
Journal	Trends in Biotechnology
Volume	36
Issue number	7
DOIs	https://doi.org/10.1016/j.tibtech.2017.12.008
Publication status	Published - Jul 2018

Funding

This work was supported in part by the US National Science Foundation/UK Biotechnology and Biological Sciences Research Council under a joint grant NSF DBI 1458626 and BB/N005163 (A.E.C. and P.R.).

Keywords

deep learning
disease diagnostics
high-content analysis
imaging flow cytometry
translational medicine

ASJC Scopus subject areas

Biotechnology
Bioengineering

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10.1016/j.tibtech.2017.12.008

Cite this

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AU - Doan, Minh

AU - Vorobjev, Ivan

AU - Rees, Paul

AU - Filby, Andrew

AU - Wolkenhauer, Olaf

AU - Goldfeld, Anne E.

AU - Lieberman, Judy

AU - Barteneva, Natasha

AU - Carpenter, Anne E.

AU - Hennig, Holger

PY - 2018/7

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AB - 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.

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KW - disease diagnostics

KW - high-content analysis

KW - imaging flow cytometry

KW - translational medicine

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Diagnostic Potential of Imaging Flow Cytometry

Abstract

Funding

Keywords

ASJC Scopus subject areas

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