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

Broad Institute
Lomonosov Moscow State University
Swansea University
Newcastle University
University of Rostock
Stellenbosch Institute for Advanced Study
Harvard University

Результат исследований › рецензирование

139 Цитирования (Scopus)

Аннотация

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.

Язык оригинала	English
Страницы (с-по)	649-652
Число страниц	4
Журнал	Trends in Biotechnology
Том	36
Номер выпуска	7
DOI	https://doi.org/10.1016/j.tibtech.2017.12.008
Состояние	Published - июл. 2018

ASJC Scopus subject areas

Biotechnology
Bioengineering

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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

KW - imaging flow cytometry

KW - translational medicine

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Diagnostic Potential of Imaging Flow Cytometry

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ASJC Scopus subject areas

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