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

Department of Biology

Research output: Contribution to journal › Short survey

20 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

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Keywords

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

ASJC Scopus subject areas

Biotechnology
Bioengineering

Cite this

Doan, M., Vorobjev, I., Rees, P., Filby, A., Wolkenhauer, O., Goldfeld, A. E., Lieberman, J., Barteneva, N., Carpenter, A. E., & Hennig, H. (2018). Diagnostic Potential of Imaging Flow Cytometry. Trends in Biotechnology, 36(7), 649-652. https://doi.org/10.1016/j.tibtech.2017.12.008

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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

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KW - disease diagnostics

KW - high-content analysis

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KW - translational medicine

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Access to Document

10.1016/j.tibtech.2017.12.008