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Visualizing quantitative microscopy data: History and challenges

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...

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Detalles Bibliográficos
Autores principales: Sailem, Heba Z., Cooper, Sam, Bakal, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4819578/
https://www.ncbi.nlm.nih.gov/pubmed/26906253
http://dx.doi.org/10.3109/10409238.2016.1146222
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author Sailem, Heba Z.
Cooper, Sam
Bakal, Chris
author_facet Sailem, Heba Z.
Cooper, Sam
Bakal, Chris
author_sort Sailem, Heba Z.
collection PubMed
description 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.
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spelling pubmed-48195782016-04-22 Visualizing quantitative microscopy data: History and challenges Sailem, Heba Z. Cooper, Sam Bakal, Chris Crit Rev Biochem Mol Biol Review Article 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. Taylor & Francis 2016-03-03 2016-02-24 /pmc/articles/PMC4819578/ /pubmed/26906253 http://dx.doi.org/10.3109/10409238.2016.1146222 Text en © 2016 The Author(s). Published by Taylor & Francis http://creativecommons.org/Licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/Licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Sailem, Heba Z.
Cooper, Sam
Bakal, Chris
Visualizing quantitative microscopy data: History and challenges
title Visualizing quantitative microscopy data: History and challenges
title_full Visualizing quantitative microscopy data: History and challenges
title_fullStr Visualizing quantitative microscopy data: History and challenges
title_full_unstemmed Visualizing quantitative microscopy data: History and challenges
title_short Visualizing quantitative microscopy data: History and challenges
title_sort visualizing quantitative microscopy data: history and challenges
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4819578/
https://www.ncbi.nlm.nih.gov/pubmed/26906253
http://dx.doi.org/10.3109/10409238.2016.1146222
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