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Visualizing quantitative microscopy data: History and challenges

delete2016-02-24
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H
Heba Sailem
S
Sam Cooper
C
Chris Bakal *
DOI:10.3109/10409238.2016.1146222delete
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摘要

摘要

En 中文
Data visualization is a fundamental aspect of science. In the context of microscopy-based studies, visualization typically involves presentation of the images themselves. However, data visualization is challenging when microscopy experiments entail imaging of millions of cells, and complex cellular phenotypes are quantified in a high-content manner. Most well-established visualization tools are inappropriate for displaying high-content data, which has driven the development of new visualization methodology. In this review, we discuss how data has been visualized in both classical and high-content microscopy studies; as well as the advantages, and disadvantages, of different visualization methods.
Keyword:
high-content analysis
Cell phenotypes
data visualization
microscopy
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期刊

Critical Reviews in Biochemistry and Molecular Biology 封面图
Critical Reviews in Biochemistry and Molecular Biology
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6.4
论文数:
682
被引数:
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university of oxford
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university of london
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Imperial College London
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