Visualizing quantitative microscopy data: History and challenges. (3rd March 2016)

• Record Type: Journal Article
• Authors: Sailem, Heba Z.; Cooper, Sam; Bakal, Chris
• Is Part Of: Critical reviews in biochemistry and molecular biology. Volume 51:Number 2(2016)
• Page Start: 96
• Page End: 101
• Publication Date: 2016-03-03
• Subjects: Cell phenotypes -- data visualization -- high-content analysis -- microscopy; Biochemistry -- Periodicals; Molecular biology -- Periodicals; Biochemistry -- Periodicals; Molecular Biology -- Periodicals; Review Literature -- Periodicals; 572
• DOI: 10.3109/10409238.2016.1146222
• Languages: English
• ISSNs: 1040-9238

Abstract

Abstract: 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.