No Cover Image

Journal article 373 views 38 downloads

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

Trends in Biotechnology

Swansea University Author: Paul, Rees

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...

Full description

Published in: Trends in Biotechnology
ISSN: 0167-7799
Published: 2018
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa38407
Tags: Add Tag
No Tags, Be the first to tag this record!
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.
Keywords: deep learning; disease diagnostics; high-content analysis; imaging flow cytometry; translational medicine
College: College of Engineering