Visualizing quantitative microscopy data: History and challenges

نویسندگان

  • Heba Z. Sailem
  • Sam Cooper
  • Chris Bakal
چکیده

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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عنوان ژورنال:

دوره 51  شماره 

صفحات  -

تاریخ انتشار 2016