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.
Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.
Publication types
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Research Support, Non-U.S. Gov't
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Research Support, U.S. Gov't, Non-P.H.S.
MeSH terms
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Data Analysis
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Deep Learning
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Flow Cytometry / instrumentation
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Flow Cytometry / methods*
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Humans
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Image Processing, Computer-Assisted
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Leukemia, Myeloid / blood
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Leukemia, Myeloid / diagnostic imaging
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Microscopy, Fluorescence / instrumentation
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Microscopy, Fluorescence / methods*
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Neoplastic Cells, Circulating / classification
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Precision Medicine / instrumentation
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Precision Medicine / methods*
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Prognosis
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Single Molecule Imaging / instrumentation
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Single Molecule Imaging / methods*
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Single-Cell Analysis / instrumentation
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Single-Cell Analysis / methods*